CLI Token Usage Visibility Analysis

Using superpowers:brainstorming because this is feature/product design work; I’ll first ground this in the repo’s existing session/token surfaces, then ask one focused question.

I’m checking the existing session, checkpoint, and token accounting code so the discussion stays tied to what Entire already records instead of inventing a parallel system.

The quick external check confirms the Cursor example is specifically about a context usage report that breaks tokens down by system prompt, tools, rules, skills, and related context sources. The X post itself is not accessible through the browser here, so I’ll treat your summary of it as the source of intent rather than quote it.

The repo already has a useful base: SessionState.TokenUsage is accumulated per session, and session info/current --json exposes total/input/cache-read/cache-write/output. The gap is that it does not yet explain why those tokens happened, such as tool calls, file reads, search volume, rule/skill/system context, or per-turn spikes.

One important implementation constraint is visible now: agents expose different levels of token detail. Claude/Gemini/OpenCode/Droid can emit per-message usage; Codex currently reports cumulative token_count events and Entire computes deltas; Cursor appears to provide context-level counters but not full token usage in its stored transcript.

External agents already have a protocol hook for token calculation, which is good for future extensibility. A first version could stay inside that existing contract, then add richer optional analysis only where transcripts support it.

Cursor’s hook shape in this repo already preserves context-window pressure around compaction events. That gives us a different but useful signal for agents that cannot provide detailed billed-token usage.

Yes, it makes sense. Entire is well-positioned for this because it already tracks sessions, checkpoints, transcripts, agent type/model, token totals, cache read/write, output, API call count, and some context-window metrics. The missing layer is attribution: “what caused the token spend?” Cursor’s new report is very similar in spirit: it breaks context usage into sources like system prompt, tools, rules, skills, etc. (Cursor changelog)

The simplest useful version should probably be:

entire session tokens [session-id]

Show:

• total tokens by input/cache-read/cache-write/output
• per-turn or per-checkpoint token spikes
• top inferred contributors, e.g. tool calls, large file reads, grep/search output, subagents, compaction/context pressure
• “unknown/unattributed” when the agent transcript does not expose enough structure

One key question first: do you want the first version to be diagnostic/observability only, or should it also include optimization recommendations like “this session spent most input tokens after repeated large grep output; prefer targeted file reads”?

Continuing with superpowers:brainstorming so we keep this scoped before designing the command/data model.

Yes. I’d treat v1 as “visibility plus practical recommendations,” with recommendations clearly labeled as inferred when the transcript does not expose exact source attribution.

The important scope question: for the first version, should the report focus on completed/checkpointed sessions, where Entire has stable stored transcript metadata, or should it also support live active sessions while the agent is still running?

My recommendation is completed/checkpointed first, with active sessions supported opportunistically if the current transcript can be read safely. That keeps the first version reliable and avoids overpromising live accuracy.

I’d make it a CLI command first, then make it agent-friendly through that same command.

Recommended approach: add a canonical command under the session group:

It would default to the current/most recent session, similar to entire session current, and print a human-readable report:

Then inside an agent session, the user can ask:

run entire session tokens --current and tell me how I’m doing

That gives every agent the same interface without needing custom native integrations first. Later we could add a prompt/skill shortcut like /tokens or “Entire token tracker,” but I would not start there because command output is easier to test, script, and reuse.

Two alternatives:

1. Add it to entire session info Easier discoverability, but it risks making session info too dense. Token analysis deserves more than a few rows.

2. New top-level command, entire tokens Nice and short, especially for future aggregation, but this repo’s current command layout prefers noun groups. I’d avoid adding a new top-level noun until we have repo/team-wide token analytics.

3. Agent-only assistant/skill experience Best UX eventually, but weaker as v1 because it depends on each agent invoking it correctly and makes the source of truth less obvious.

So my proposed shape is: entire session tokens first, with JSON output for agents and automation, then later add entire tokens for aggregate/repo-level analysis if this proves useful.

Using context-fetcher for the exploration pass: I’ll validate the command shape against the current CLI/session architecture and look for the minimum set of files/contracts this feature would touch.

I’m going to keep this as a read-only feasibility pass: command placement, available data, and where we can safely infer recommendations without inventing agent-specific facts.

The session group already centralizes list, info, current, stop, attach, and resume in sessions.go, so adding tokens there fits the command taxonomy. The only nonexistent file from my probe was session_group.go; this group is implemented directly in sessions.go.

The data path is lining up: current session state is cheap to read for live/current reports, while condensed checkpoint metadata has richer committed history after user commits. That suggests the report should gracefully degrade by source rather than require every session to be fully condensed.

I found a clean split for implementation later: session.State is the live/session-state source, while checkpoint.CommittedMetadata is the stored checkpoint source. The command can start from session state and only read committed checkpoint metadata when available.

I’m going to run a narrow baseline test set around existing session/token behavior. That gives us quick evidence that the proposed command can reuse stable seams instead of needing a new storage path.

The baseline tests hit the sandbox because Go wants to use the normal user build cache under ~/Library/Caches/go-build, which is outside this workspace. I’m rerunning the same narrow read-only test pass with approval rather than changing repo state.

The narrow baseline passed after approval. That confirms existing session info, token accumulation, checkpoint token metadata, and per-agent token calculators are already covered enough to build the first report on top of them.

Exploration supports the plan. I did not change files.

What I Validated entire session tokens fits the existing command layout best. The session group is centralized in sessions.go, and session current already provides the default “current worktree, most recent session” resolution we want in session_current.go.

The data already exists in two useful layers:

• Live/current session state: TokenUsage, ContextTokens, ContextWindowSize, turns, files, skill events in state.go.
• Committed/checkpoint metadata: per-checkpoint TokenUsage, transcript offsets, skill events, and session metrics in checkpoint.go.

Agent support is uneven but workable:

• Strong token detail: Claude Code, Codex, Gemini CLI, OpenCode, Factory AI Droid, Copilot CLI, Pi.
• Cursor currently has context pressure metrics, but not full transcript token accounting.
• Tool/source attribution will start as inference from transcript structure, tool events, subagent usage, context metrics, and large-output heuristics.

Recommended V1 Add:

Default behavior: if no session ID is passed, use the current worktree’s most recent session, like entire session current.

Report sections:

• Totals: input, cache read, cache write, output, API calls, subagent totals.
• Hotspots: largest checkpoint/turn ranges where metadata exists.
• Contributors: subagents, context pressure/compactions, skill invocations, large tool-output indicators.
• Recommendations: deterministic rules such as narrow broad searches, summarize large output before continuing, split stale long-running sessions, or reduce repeated reads.

Test Pass The initial test run hit sandbox limits because Go wanted ~/Library/Caches/go-build. After approved rerun, the narrow baseline passed:

This covered existing session info/current/list behavior, token usage persistence/aggregation, checkpoint token metadata, and per-agent token calculators.

Open Design Choice For v1, I’d keep recommendations rule-based and transparent, not LLM-generated. Example: “High cache read ratio” or “large command output detected” should cite the signal. That avoids making entire session tokens itself burn tokens to explain token burn.

If this looks right, the next step is to write the short design spec for entire session tokens before implementation.

Using docs-maintainer for the written spec, while continuing the approved brainstorming workflow: I’ll create the design document, commit it, then run the spec review loop before asking you to review it.

I’ll first check the existing spec directory and current git state, then add only the design doc so the commit stays scoped.

There is no existing docs/superpowers/specs directory, so I’m creating that path and adding a single design spec for the token report.

The spec is written. Before I commit it, this repo’s instructions require the full pre-commit check, so I’m running mise run check against the current tree.

The pre-commit check is still running; lint and formatting have completed cleanly, and the integration/race test suite is still in progress.

mise run check found an existing date-sensitive unit test failure in auth status rendering: the table printed 2025-12-31, while the test expected 2026-01-01. I’m waiting for the full command to finish before deciding whether there were any other failures.

The full check failed in two unrelated tests: one auth-status date expectation and one investigate quorum expectation. Since this is a test failure, I’m switching to the debugging workflow long enough to determine whether these are pre-existing/flaky blockers or something caused by the doc-only change.

I’m checking whether the failures reproduce on their own and confirming the working tree only contains the new spec. That separates true blockers from unrelated suite noise.

Unexpectedly, git status is clean after the check. I’m checking whether the new spec path is ignored or was removed before I proceed.

The spec is present but ignored by .gitignore under docs/superpowers, so committing it will require git add -f. I’m now rerunning the two failed tests individually to see if they are deterministic.

One failure is deterministic locally and caused by timezone rendering: UTC midnight timestamps display as the previous date in America/New_York. The investigate failure did not reproduce individually, so it looks like existing suite-order/global-state flakiness rather than anything from the spec.

The auth test passes under TZ=UTC, which matches CI-style date handling. I’m rerunning the full pre-commit check with TZ=UTC; if the investigate flake does not recur, that gives us a clean check before committing the spec.

The second full check is running with TZ=UTC. Formatting and linting are already clean; the race/integration test suite is still running.

The UTC check has passed the packages that failed before; it is still finishing the remaining package set.

The full check has completed unit, integration, and package tests cleanly under TZ=UTC; it is now running the required Vogon canary suite.

TZ=UTC mise run check passed, including the Vogon canary. I’m force-adding the ignored spec file and committing only that document.

git add needs to write the shared worktree index under the main .git directory, which is outside the sandbox. I’m rerunning the git staging step with approval.

Using superpowers:test-driven-development and superpowers:writing-plans for the implementation pass. I’ll drop the ignored design doc from the workspace first, then build the command with tests before implementation.

I’m not going to create or stage any docs. I’m deleting the ignored spec file I created earlier, then I’ll use an inline implementation checklist only.

Implementation plan, kept inline per your “no docs” direction: add failing tests for entire session tokens, implement a small report builder and renderer under session commands, run targeted tests, then run the required broader checks.

I’m checking related code paths and command patterns now, including whether the repo has a discover-related helper available.

The repo does not expose an actual /go:discover-related command in this environment; I did the related-code discovery with rg and confirmed the reusable patterns are session info/current, TokenUsage, and session-state test helpers.

I’m adding the first failing tests now. They cover the command shape, text recommendations, JSON output for limited token data, default current-session resolution, and the --current/ID conflict.

The tests are in place. I’m running just the new token-command tests now to verify the red phase fails for the missing command, not because of unrelated setup.

Red is confirmed: the tests fail because newTokensCmd does not exist yet. I’m implementing the smallest report builder and command to satisfy those behaviors, then I’ll rerun the focused tests.

I’m wiring the new command into the existing session command group now.

The minimal implementation is in place. I’m running the focused tests to move from red to green.

The focused tests now compile and run; the only behavior miss is the subagent-heavy threshold being slightly too high for the test fixture. I’m lowering that deterministic threshold to 10% so meaningful subagent spend triggers a recommendation.

I’m rerunning the focused tests after the threshold adjustment.

Focused token-command tests are green. I’m formatting and running the adjacent session command tests next to catch command-group or shared-rendering regressions.

I’m picking up from the implemented session tokens command and checking the diff/verification state now. I’ll keep this to code and tests only, with no docs changes.

The current diff is scoped to session command wiring, a new session_tokens.go, and focused tests. I’m reading the new command now for correctness and to decide whether the first implementation should stay session-state only or also scan committed checkpoint metadata.

This first pass is intentionally generic across agents: it reads the normalized token fields already stored in session state, so it works for any agent that populates them. I see one gap I want to tighten before final verification: the command should be discoverable through the real session command path, not just direct constructor tests.

The token total helper already recursively includes subagent tokens, so the report’s headline total and subagent contributor are consistent with existing status behavior. I’m adding one small command-path test now so regressions in entire session tokens wiring are caught.

I’m going to make a narrowly scoped test edit: add a newSessionsCmd() execution case that exercises tokens as a real subcommand and verifies it emits the JSON report.

The command-path test is in place. I’m formatting and then rerunning the focused session command tests.

Focused CLI tests are passing. I’m doing one more review pass on the final diff before broader verification, with attention to command UX and lint-sensitive details.

The review pass didn’t show unrelated files or docs. One UX detail I’m checking now is whether “current session” resolution matches the existing session/current semantics so the default behavior is predictable.

The default selection reuses the same FindMostRecentSession path as entire session current, which is the right consistency point. I’m checking the exact text only to avoid misleading wording when it falls back to an idle recent session.

The wording matches the existing current-session command, so I’m leaving it for consistency. I’m also checking whether tokens should inherit the same explicit git-repo prerequisite as session current/info.

The command’s load/error behavior now matches session info, so I’m not adding extra prerequisite checks. Next I’m running the full CLI package tests plus the focused strategy session-state tests that cover current-session resolution.

The broader CLI package tests and the session-state focused checks both passed. I’m doing the required verification checklist pass now before I summarize.

I’ve verified the tests once after the edits; to keep the completion claim grounded, I’m rerunning the final package check now and adding a whitespace diff check.

The final go test ./cmd/entire/cli -count=1 passed. The shell is emitting a local init warning around some git commands, so I’m rerunning the diff check with a non-login shell for a clean verification result.

The clean-shell git diff --check passed with no output. I’m grabbing the final status so I can summarize the touched files precisely.

The only pending changes are the new token command file plus session command wiring and tests. There are no docs changes.

I’ve got the final file list and verification evidence. I’m checking line numbers for the key entry points so the summary can point you straight to the implementation.

Implemented the first pass of session token diagnostics with no docs changes.

Added entire session tokens [session-id] in session_tokens.go, wired it into entire session in sessions.go, and covered it with tests in sessions_test.go.

What it does now:

• Defaults to the current worktree’s most recent session, or accepts an explicit session ID.
• Shows total/input/cache read/cache write/output/API calls.
• Surfaces likely contributors like subagents, context pressure, and skill/slash command signals.
• Emits optimization recommendations first-pass style, including subagent scoping, high context pressure, long-session resets, and missing-token-data limitations.
• Supports --json for later aggregation/UI work.

Verification run:

• go test ./cmd/entire/cli -count=1
• go test ./cmd/entire/cli/strategy -run 'TestFindMostRecentSession|TestSessionState_TokenUsagePersistence' -count=1
• git diff --check

I did not run the full mise run check. This patch is the simple session-level visibility layer; per-checkpoint hotspot aggregation is still the next layer.

A checkpoint-level example is useful because it exposes the “where did this turn burn tokens?” view more directly than session totals. The current patch is session-level only, so I’m going to show the checkpoint shape I’d add next rather than claim this command exists already.

Yes. I’d make checkpoint output look like this:

And JSON would be shaped for aggregation later:

The current patch does not add this checkpoint command yet. The clean next step would be either entire checkpoint tokens <checkpoint-id> or entire checkpoint explain <checkpoint-id> --tokens; I’d lean toward entire checkpoint tokens for symmetry with entire session tokens.

I’ll pull a real local checkpoint from this worktree and inspect its stored metadata. Since checkpoint-level token reporting is not implemented yet, I’m going to use the existing checkpoint/session metadata directly and show what’s actually available.

There are real checkpoint refs in this repo, including the current entire/checkpoints/v1 branch and several shadow branches. I’m inspecting the committed checkpoint tree now to pick one with token usage metadata rather than a synthetic sample.

The first tree listing was too broad. I’m narrowing directly to committed checkpoint metadata entries that actually contain token_usage, then I’ll read one complete checkpoint summary and its per-session metadata.

The broad grep hit too much metadata and is still running, so I’m stopping it and switching to a targeted metadata read.

The repository is a partial clone, so some checkpoint blobs try to lazy-fetch. I’ll use one metadata path that was already resolved locally from the grep output: checkpoint 09b566bbbc.

This checkpoint has real token metadata: roughly 6.2M total tokens, almost all cache-read/context replay. I’m checking the saved transcript just enough to see whether the checkpoint also has visible tool-use signals like searches or reads.

Real checkpoint from this repo: 0009b566bbbc

Based on stored metadata at entire/checkpoints/v1:00/09b566bbbc/metadata.json:

The important takeaway: this checkpoint is not mostly “new input”; it is overwhelmingly cache/context replay. A checkpoint-token view should make that obvious immediately.

No. It’s a reasonable secondary recommendation, but it is too generic to be the best finding.

For this checkpoint, the stronger finding is:

Better recommendation:

Why: “Start a fresh session” can help if old context is stale, but it is not always optimal. Cache-read tokens are usually cheaper than fresh input/cache-write tokens, so blindly restarting may trade one cost for another. The more precise issue here is the multiplication: large cached context * 70 API calls.

I’d rank the checkpoint findings like:

1. context-replay-hotspot: 97.4% of token volume was cache read.
2. high-api-call-count: 70 calls in one checkpoint amplified that replay.
3. tool-loop: 25 reads + 24 bash calls suggests iterative debugging churn.
4. fresh-session-boundary: conditional recommendation after summarizing findings.

I’ll use the brainstorming and test-driven-development skills here because this changes product behavior and recommendation logic. I agree the command should surface the concrete hotspot first instead of defaulting to “start fresh.”

Yes. The command should rank “what actually multiplied token usage” above generic advice.

I’d change the recommendation logic to this order:

1. Context replay hotspot when cache-read is a high percentage of total tokens. Example: “Cache/context replay is 97.4% of token volume.”

2. API-call amplification when API call count is high. Example: “Large context was replayed across 70 API calls; batch diagnosis and reduce iterative calls.”

3. Tool-loop signal when transcript/checkpoint data shows many reads/bash/searches. Example: “25 reads + 24 bash calls suggest iterative debugging churn.”

4. Conditional restart/compact only after preserving findings. Example: “Compact or restart after summarizing this investigation; don’t blindly restart just because cache-read is high.”

For the current session tokens command, I can improve the existing session-level recommendations immediately with cache_read_percent, api_calls, and better ordering. Checkpoint-specific tool-loop recommendations would come next once we add checkpoint token reporting or transcript signal extraction to this command.

I’ll make this concrete in the current session tokens command: recommendations first, cache-read hotspot detection, API-call amplification, and less generic restart advice. I’ll write failing tests first for the new ordering and messages, then update the implementation.

I’m adding tests that capture the checkpoint lesson: high cache-read percentage and many API calls should beat generic restart language. The first focused run should fail against the current implementation.

The tests now express the desired behavior. I’m running the focused token tests to confirm they fail for the right reason before changing production code.

The red test failed for the expected reasons: no cache-read hotspot recommendation, no API-call amplification, and recommendations are not first. I’m implementing just those behaviors now.

I’m editing the recommendation rules and text renderer now. The implementation will keep the report deterministic from stored session token fields, without adding checkpoint scanning yet.

The recommendation logic now computes cache-read share and API-call amplification before subagent/context advice. I’m formatting and rerunning the focused token tests.

The focused token tests are green. I’m rerunning them after formatting completed, then I’ll run the broader CLI package test.

The rerun is green for the token command path. I’m checking the implementation diff and then running the whole CLI package.

The full CLI package test passed. I’m running the final whitespace diff check and capturing the exact changed files before I summarize.

The final whitespace check passed and there are still no docs changes. I’m doing the verification-before-completion check now so the closeout is tied to fresh command output.

Implemented the recommendation improvements for entire session tokens.

What changed:

• Recommendations now render before diagnostics/token details.
• Cache-read dominance is detected as context-replay-hotspot.
• High API call count is detected as api-call-amplification.
• Generic “start fresh” language was replaced with conditional compact/restart guidance after summarizing useful findings.
• Added regression coverage using the real checkpoint pattern: 97.4% cache-read volume across 70 API calls.

Key files:

• session_tokens.go
• sessions_test.go

Verification:

• Red test confirmed old behavior failed.
• go test ./cmd/entire/cli -run 'TestTokensCmd|TestSessionsCmd_TokensSubcommand' -count=1
• go test ./cmd/entire/cli -count=1
• git diff --check

No docs changes.

I’ll test the checkpoint-shaped case directly against the real checkpoint values we pulled earlier, then I’ll also check what the current CLI can show for that real checkpoint today. If there is no checkpoint token command yet, I’ll be explicit about that gap instead of pretending it exists.

The checkpoint-shaped regression passes and it is using the exact token numbers from real checkpoint 0009b566bbbc. I’m also trying the current checkpoint explain command against that checkpoint to see what users can see today outside the new session-level command.

The actual checkpoint command path confirms a gap: entire checkpoint explain 0009b566bbbc shows the total token count, but it does not use the new hotspot recommendations. I’m checking the existing checkpoint lookup path now; if it’s straightforward, I’ll wire the same recommender into entire checkpoint tokens <id> so this can be tested as a real checkpoint command.

There’s a clean existing committed-checkpoint lookup and metadata reader, so I’m going to add the real checkpoint command rather than leave this as a unit-test-only path. I’ll start by writing failing tests for entire checkpoint tokens <id>.

The checkpoint command should reuse the same recommendation engine, but read CheckpointSummary.TokenUsage plus session metadata from the committed checkpoint store. It will stay read-only and support --json like session tokens.

I found the prefix resolver used by checkpoint explain. I’ll reuse that instead of duplicating resolution semantics, so checkpoint tokens handles prefixes and ambiguity the same way.

I’ll add checkpoint tests under the CLI package using the existing WriteCommitted store helper. The tests will fail first because checkpoint tokens is not registered yet.

The failing tests are in place and use a committed checkpoint written through the real checkpoint store. I’m running them now to verify the failure is the missing command/implementation, not test setup.

The first red run caught missing test imports before reaching the missing command. I’m fixing the test imports, then I’ll rerun so the remaining failure reflects the absent checkpoint token feature.

The test imports are fixed. I’m rerunning the checkpoint-token tests; at this point I expect the missing report type or command registration to be the failure.

I’m extracting the recommendation inputs so sessions and checkpoints share one rule set. That keeps the cache-read/API-call logic consistent and avoids maintaining two versions.

The recommendation logic is now independent of session state. I’m adding the checkpoint command implementation and shared rendering helpers next.

The checkpoint token command is added now. I still need to register it under the checkpoint group and fix any compile issues from the new file.

I noticed one import issue in the new checkpoint file while reviewing it: skill labels need strings.Join, so I’m fixing that before running the tests.

The command is registered under entire checkpoint. I’m formatting and rerunning the checkpoint-token tests.

The checkpoint-token tests pass. I’m now running the new command against the real checkpoint 0009b566bbbc so we test the actual CLI path, not just unit fixtures.

The real checkpoint command works against 0009b566bbbc and shows the improved hotspot recommendations first. I’m running the broader token test set and full CLI package test now.

The focused token tests and the full CLI package test passed. I’m running the whitespace check and final status now.

The implementation is verified, and the only files changed are CLI code and tests. I’m making one small help-text update so entire checkpoint --help lists the new tokens subcommand.

The help text is updated. I’m rerunning the focused token tests and whitespace check after that last change.

Focused tests and diff check passed after the help text change. I’m running the full CLI package test once more so the final status is based on the current tree.

The full CLI package test passed on the current tree, and the new command produced the expected output against the real checkpoint. I’m collecting final file status now.

The final modified set is CLI code plus tests only; no docs. I’m marking the plan complete.

Tested against the real checkpoint 0009b566bbbc, and I added the actual checkpoint command so this is no longer just a session-level/unit-test path.

Command run:

Output:

Added:

• entire checkpoint tokens <checkpoint-id>
• --json support for checkpoint token reports
• Tests using committed checkpoint metadata with the same shape as the real checkpoint
• Shared recommendation logic between session and checkpoint token reports

Verification:

• go test ./cmd/entire/cli -run 'TestTokensCmd|TestSessionsCmd_TokensSubcommand|TestCheckpointTokensCmd' -count=1
• go test ./cmd/entire/cli -count=1
• git diff --check

Yes. I’ll flip the text report ordering so token usage comes before recommendations, while keeping the recommendation content and JSON unchanged. I’ll update the ordering tests first so the current renderer fails, then patch the output order.

I’ll make this as a small behavior change using the existing token command tests: first flip the expected section order, confirm the test catches it, then update the renderers and rerun the focused and package checks.

I found the two renderers still print recommendations before usage, and the tests already assert that old order for session output. I’m changing those expectations first, including checkpoint output, so the test failure is about the behavior the user asked for.

I’m updating only the section-order assertions now. The command content stays the same; this test change is just pinning “Token usage” as the first diagnostic block.

The test now expects the new order. I’m running the focused token tests before touching production code; the expected failure should be the old recommendation-first rendering.

The red run failed exactly on the old section order for both session and checkpoint outputs. I’m moving the shared usage section ahead of recommendations in both text renderers now.

The renderers now print the concrete token totals first, then the recommendations. I’m formatting and rerunning the focused token command tests.

The focused token tests are green. I’m running the broader CLI package tests and a whitespace diff check, then I’ll verify the real checkpoint output shows the new order.

The package test hit a sandbox limitation, not a code failure: httptest could not bind a local port in logout_test.go. I’m rerunning that same package test outside the sandbox so the local test server can listen.

The package test is green outside the sandbox, and git diff --check is clean. I’m running the real checkpoint example again now to confirm the visible output order.

The real checkpoint now presents token usage first, then recommendations. I’m doing a final status/diff sanity check so the closeout is accurate.

Changed the text output order for both commands:

• session_tokens.go: Token usage now prints before Recommendations.
• checkpoint_tokens.go: checkpoint token output uses the same order.
• sessions_test.go: tests now lock that order for sessions and checkpoints.

Real checkpoint output now starts the diagnostic section like this:

Verified with:

• go test ./cmd/entire/cli -run 'TestTokensCmd|TestSessionsCmd_TokensSubcommand|TestCheckpointTokensCmd' -count=1
• go test ./cmd/entire/cli -count=1
• git diff --check
• go run ./cmd/entire/main.go checkpoint tokens 0009b566bbbc

No docs added.

I’ll use the code-review workflow for the changed diff, then do a stricter adversarial pass focused on incorrect assumptions, edge cases, and test gaps. I’m going to read the review skill guidance and the current diff first.

The current git diff --stat only shows tracked edits, so I’m including the two untracked token command files explicitly in the review scope. I’m also checking whether the multi-agent reviewer tools are available for the adversarial pass.

I found the sub-agent tool, but the tool contract only allows spawning when the user explicitly asks for sub-agents or parallel delegation. I’ll do the adversarial pass locally against the full change set, including the untracked files.

I’ve got the full implementation in scope now. Next I’m checking the adjacent APIs it depends on, especially session lookup and checkpoint metadata, because those are where a token visibility command can silently report the wrong session or the wrong checkpoint slice.

One candidate issue is emerging: checkpoint output may combine aggregate checkpoint totals with the latest session’s labels. I’m reading the checkpoint aggregation code and tests to determine whether that’s a real bug or just a naming choice.

That scope mismatch is real: checkpoint summaries aggregate TokenUsage across every session written to the checkpoint, while this command reads only the last session’s metadata for display labels and recommendations. I’m checking if there are other similar mismatches before deciding whether to fix now or report.

The main adversarial finding is concrete enough to cite by line: aggregate checkpoint token totals can be shown beside only the latest session’s identity. I’m pulling line numbers and doing one more verification run so the review separates code risk from test status.

The focused token tests still pass. I’m rerunning the full CLI package test outside the sandbox again because the package uses httptest loopback servers that the sandbox blocks.

Findings

• Medium: checkpoint totals can be attributed to the wrong session/agent.
  checkpoint_tokens.go reads only the latest session metadata, then checkpoint_tokens.go uses summary.TokenUsage, which is aggregate checkpoint usage across sessions. For multi-session checkpoints, output can show Session: latest-session and Agent: latest-agent while the token total includes earlier sessions too.
  Fix: either make checkpoint output explicitly aggregate (Sessions: N, omit singular session/agent when N > 1), or compute/display per-session usage.

• Medium: checkpoint token output can under-report subagent usage.
  The command prefers summary.TokenUsage over meta.TokenUsage in checkpoint_tokens.go, but root checkpoint aggregation does not preserve nested SubagentTokens. That means a checkpoint with subagent usage can lose those tokens and skip the Subagents contributor.
  Fix: for single-session checkpoints, use meta.TokenUsage; for multi-session checkpoints, aggregate all session metadata including nested subagent usage.

• Low: entire session help omits the new tokens command.
  The command is registered in sessions.go, but the manual command list/examples in sessions.go do not mention it. This hurts discoverability for the visibility feature.

Adversarial Pass

No security/privacy issue jumped out: these commands read stored metadata, not raw transcript text. The main adversarial risk is correctness of attribution: checkpoint output currently looks precise, but can be aggregate/mixed-scope.

Verification

Ran:

• go test ./cmd/entire/cli -run 'TestTokensCmd|TestSessionsCmd_TokensSubcommand|TestCheckpointTokensCmd' -count=1
• go test ./cmd/entire/cli -count=1 outside sandbox for httptest loopback binding

Both passed.

My take: the two medium findings are worth fixing before this lands. They are not style issues; they affect whether the command tells users the truth about where tokens went.

I’d fix them now.

The checkpoint command is the one users will trust for “where did this checkpoint spend tokens?”, so mixed aggregate totals with latest-session labels is too easy to misread. I’d make entire checkpoint tokens explicitly checkpoint-scoped:

1. Read metadata for all sessions in the checkpoint.
2. Aggregate token usage from session metadata, preserving nested SubagentTokens.
3. For single-session checkpoints, keep today’s output: Session, Agent, Model.
4. For multi-session checkpoints, print Sessions: N and Agents: ..., and avoid implying the total belongs to only the latest session.
5. Add a regression test with two sessions where the latest session is small but the aggregate is larger.
6. Add tokens to entire session help text. That is CLI discoverability, not docs.

I would not add per-session drilldown flags yet unless we need them. The clean first version is: checkpoint command reports checkpoint-wide usage honestly; session command reports live/session-specific usage.

I’ll fix the review findings directly. I’m using the receiving-code-review workflow to validate the feedback instead of applying it blindly, and TDD for the behavior changes so the multi-session checkpoint bug is captured first.

I’ve verified the findings against the code: checkpoint root metadata intentionally aggregates token usage across sessions, so the command needs to either report aggregate scope or read every session. I’m going to add failing tests for multi-session checkpoint output and session help discoverability first.

I’m adding one checkpoint regression test with two sessions and nested subagent tokens, plus a help-text assertion that requires a concrete entire session tokens <session-id> example. Both should fail against the current implementation.

The tests now express the intended behavior: multi-session checkpoints should be labeled as aggregate, preserve subagent totals, and help should show the tokens example. I’m running the focused tests to confirm the current code fails on those points.

The red test confirms the exact failure: multi-session checkpoints are displayed as the latest session and subagent usage is dropped. I’m changing the checkpoint report builder to read all session metadata and make the text renderer switch to aggregate labels when there is more than one session.

I caught one compile issue while applying the change: the old fallback referenced the previous single meta variable. I’m replacing that with a summary fallback for older metadata shapes, then I’ll run the red tests again.

The checkpoint report builder now reads all session metadata and preserves nested subagent token usage in its own aggregate. I’m formatting and rerunning the two tests that were red.

The new red tests are green. I’m running the broader token command test set next, then the package tests, because this touched both help text and checkpoint report construction.

The focused token tests are green. I’m checking the rendered checkpoint section and then I’ll run the full CLI package suite.

The real single-session checkpoint output is unchanged except for the intended token-usage-first order. I’m running full package verification outside the sandbox for the local test servers, plus a diff whitespace check.

Full CLI tests and git diff --check passed. I’m doing a final diff/status pass now so I can summarize exactly what changed and note any residual risk.

Implemented the review fixes.

Checkpoint token output now handles multi-session checkpoints as checkpoint-wide aggregate data instead of attributing totals to only the latest session. It now:

• Reads all session metadata for the checkpoint.
• Aggregates token usage from session metadata, preserving nested SubagentTokens.
• Prints Sessions: N and Agents: ... for multi-session checkpoints.
• Keeps the existing Session / Agent single-session output.
• Adds session_count, agents, and models fields to checkpoint token JSON.
• Adds tokens to the manual entire session --help command list and examples.

Added regression coverage for:

• Multi-session checkpoint output not showing latest-session attribution.
• Subagent token totals surviving checkpoint aggregation.
• Session help including the new tokens command.
• Existing token usage first, recommendations second behavior.

Verified with:

• go test ./cmd/entire/cli -run 'TestTokensCmd|TestSessionsCmd_TokensSubcommand|TestSessionsCmd_HelpIncludesTokensSubcommand|TestCheckpointTokensCmd' -count=1
• go test ./cmd/entire/cli -count=1
• git diff --check
• Real checkpoint command: go run ./cmd/entire/main.go checkpoint tokens 0009b566bbbc

I ran the full go test ./cmd/entire/cli -count=1 package test suite and git diff --check.

I did not run the repo’s full mise run check / mise run test:ci yet.

I’ll run the repo-level check now. This will format, lint, and run the CI test sequence, so I’m running it outside the sandbox because the CLI tests use local httptest servers that need loopback binds.

mise run check is still running tests, but lint already surfaced four issues: two goconst test literals, one gocritic if/else chain, and writeCheckpointTokensText returning an always-nil error. I’ll wait for the full command to finish, then patch all lint findings and rerun the check.

The test:ci portion is progressing through packages successfully so far. After it exits, I’ll make the lint cleanup; the fixes are local to the new command and tests.

No new output in the last poll; the race/integration test run is still active. I’m continuing to wait rather than starting overlapping edits while the check is using the tree.

The race/integration package tests completed and the Vogon canary is now running. The lint failures still need fixes after the check exits, but the broader test path is otherwise making progress.

mise run check finished with tests passing, including canary, but failed overall because lint:go reported the four lint issues seen earlier. I’m fixing those now and then rerunning the full check.

I’m applying the lint cleanup: constants for repeated test strings, no-error text renderers, and a switch for checkpoint header rendering. These don’t change command behavior.

The lint edits are in. I’m running formatting plus lint first so I can catch the cheap failures before another full mise run check.

The sandboxed lint attempt failed for environment reasons, not code: it could not resolve golangci’s schema URL and could not access the user Go build cache. I’m rerunning lint outside the sandbox, then I’ll rerun mise run check.

Lint is clean outside the sandbox after the cleanup. I’m rerunning the full mise run check now so the final result includes fmt, lint, unit/integration race tests, and canary in one pass.

The full check has passed fmt and lint; test:ci is running now. I’ll keep polling until it exits.

The package tests have passed again and the Vogon canary is running in the full check. No lint issues this time.

mise run check completed successfully after the lint cleanup. I’m checking the worktree now because the canary run can leave build artifacts, and I need to distinguish source changes from generated output.

Yes. I ran the full repo check after fixing the lint findings.

Verified passing:

• mise run check
  • fmt
  • lint
  • go test -tags=integration,authfilestore -race ./...
  • E2E canary vogon: 59 passed
  • E2E canary roger-roger: 4 passed
• git diff --check

Current worktree source changes are only the token feature files/edits:

• cmd/entire/cli/checkpoint_group.go
• cmd/entire/cli/sessions.go
• cmd/entire/cli/sessions_test.go
• cmd/entire/cli/checkpoint_tokens.go
• cmd/entire/cli/session_tokens.go

I’ll use the GitHub PR publishing workflow here: confirm the exact diff, commit the token visibility changes, push the branch, and open a draft PR. Since mise run check just passed, I’ll still do a quick status/diff sanity check before committing.

The branch is already tokens, and the changed files are tightly scoped to the token visibility feature. I’m checking GitHub CLI auth and the untracked command files before staging, since those two files are part of the PR but don’t show in git diff --stat until staged.

gh is installed but its default token is invalid, so I can’t rely on gh for PR creation. I’m checking the GitHub connector tools now; if PR creation is available there, I can still open the draft PR after pushing the branch.

The GitHub connector has draft PR creation, so I can avoid the broken gh token for opening the PR. I’m going to stage only the five feature files, commit them, push tokens to origin, then create the draft PR through the connector.

Base resolves locally to origin/main. I’m staging the scoped files explicitly now.

The intended files are staged. I’ll inspect the staged diff summary before committing.

The staged diff is exactly the five token visibility files. I’m committing with a scoped message.

Commit 9447b36ff was created. I’m checking the post-commit tree, then I’ll push tokens to origin.

The working tree is clean on tokens. I’m pushing the branch with upstream tracking now.

The branch is pushed to origin/tokens. I’m opening the draft PR against main through the GitHub connector with the check results in the body.

The push succeeded, but PR creation is blocked by authentication on both available paths: the GitHub connector reports an expired token, and local gh auth status reports the default token is invalid. The branch is on GitHub already; I’m checking whether an unauthenticated gh pr create gives the same blocker so I can give you the exact next step.

That gh pr create failed inside the sandbox with a network error, so I’m rerunning it outside the sandbox once. I expect it may still hit the invalid gh token, but this will separate network from auth.

The fallback command tripped over shell quoting in the PR body before it reached GitHub. I’m retrying with --fill to avoid shell expansion; if auth is still invalid, that will be the blocker.

The draft PR was created: https://github.com/entireio/cli/pull/1393. I’m updating its title/body now because the successful fallback used --fill, which is usually too sparse for reviewers.

The PR title and body are updated. I’m verifying the PR is draft/open and checking the local branch status.

Draft PR created: https://github.com/entireio/cli/pull/1393

Details:

• Branch: tokens
• Base: main
• Commit: 9447b36ff add token usage diagnostics
• PR title: [codex] add token usage diagnostics
• Status: open draft
• Local worktree: clean

Validation included in the PR body:

• mise run check
• git diff --check
• Real checkpoint smoke test for checkpoint tokens

I’ll use the brainstorming workflow here because this is product-shape work rather than implementation. I’ll frame it around where the feature is most likely to be invoked: inside an active agent session, after a session, and across historical sessions.

The existing PR gives us the first primitive: deterministic session/checkpoint token reports. For the next layer, I’d think less in terms of “another dashboard” and more in terms of “token coaching surfaces” that agents and humans can invoke at the exact moment they are making context decisions.

Yes, and I think this points to a bigger product shape:

1. In-Session Token Coach This is the most natural use case. A user inside Claude/Codex/Gemini says:

The agent runs entire session tokens --json, then gives a short answer like:

For this, we should add an agent-friendly output mode later, maybe:

Not verbose. Designed to be pasted directly into the agent’s reasoning.

2. Post-Session / Future-Session Learning This is where users ask:

That suggests a future tokens aggregate layer:

The output should identify repeated patterns:

• “Large context replay after long debugging sessions”
• “Subagents are usually >25% of token volume”
• “Most token-heavy sessions involve repeated grep/read cycles”
• “Tests are rerun many times after broad changes”

Then optionally produce a memory candidate:

I would keep memory opt-in. Don’t silently write agent memory.

3. Codegen Waste Detection This is the most interesting, but also easiest to overclaim. We probably cannot say “comments cost X tokens” unless the agent transcript gives token attribution by content type. But we can infer waste patterns from checkpoints and diffs.

Useful waste categories:

• Context replay waste: cache read dominates token volume across many API calls.
• Tool-loop waste: many greps/reads/status checks with little resulting code change.
• Churn waste: files generated or edited, then reverted or heavily rewritten in later checkpoints.
• Test churn: repeated test edits or repeated failing test loops.
• Overbroad generation: large generated files where final diff keeps only a small slice.
• Subagent drift: subagents consume a lot of tokens but produce little retained code.
• Review/regression loops: agent creates code, later checkpoints undo or fix it.

The best next feature after the current PR is probably not a big dashboard. I’d add a compact agent-native brief first, then an aggregate token profile command.

Proposed progression:

1. entire session tokens --agent-brief
2. entire checkpoint tokens already done
3. entire tokens profile --since 30d
4. entire tokens profile --memory-suggestion
5. later: entire tokens waste --session <id> for code churn and retained-output analysis

The key product principle: users do not want “token analytics” during agent work. They want the agent to spend fewer tokens on the next step. So the output should lead with “what to do differently right now,” backed by usage data.

I’ll scope this as the next feature layer on top of the PR, not start implementation yet. I’m going to check the existing command surfaces and any memory/settings patterns so the scope fits the CLI instead of inventing a separate product shape.

I’d scope this as a second PR after the current token diagnostics PR. The current PR gives the raw primitives. The next scope should turn those primitives into an agent-native “what should I do differently?” layer.

Recommended Direction Build this in three phases, with Phase 1 as the next shippable slice.

Phase 1: Agent-Native Session Brief Add a compact mode to the current command:

Output shape:

This is what an agent can call when the user says:

Why this first: it fits the strongest native use case, uses data we already have, and does not require a new aggregation engine.

Phase 2: Historical Token Profile Add a top-level noun group for aggregate analysis:

This answers:

Output should find recurring patterns:

• repeated high cache/context replay
• long sessions with many API calls
• subagent-heavy sessions
• high context pressure before session boundaries
• checkpoint/session types where token usage clusters

Memory suggestion should be opt-in text only:

No automatic memory writes.

Phase 3: Codegen Waste Analysis Add later, once the aggregate profile is useful:

This should not claim exact token attribution to code constructs unless we truly have that data. Instead, use confidence-labeled heuristics:

• Churn waste: generated/edited files later reverted or heavily rewritten.
• Tool-loop waste: many reads/greps with little retained code.
• Test churn: repeated changes to test files or repeated failing-test loops.
• Subagent drift: high subagent tokens with low retained output.
• Overbroad generation: large diffs where only a small part remains.
• Comment/doc suspicion: comments/docs grew substantially, but label as “content volume,” not exact token waste.

Command Shape I’d avoid making the next thing only another report. The command family should look like:

Non-Goals For The Next PR

• No dashboards.
• No automatic agent memory writes.
• No exact “comments cost X tokens” claim.
• No transcript content inspection unless explicitly needed and privacy-reviewed.
• No optimization automation that changes agent behavior automatically.

Next PR Scope Smallest useful next PR:

1. Add --agent-brief to entire session tokens.
2. Reuse existing recommendation rules, but render them as “next best action.”
3. Add tests for high cache replay, no token data, and subagent-heavy sessions.
4. Include help text with an example prompt users can give an agent.
5. No new top-level entire tokens group yet.

That gives users something they can use naturally inside an active agent session, while keeping the broader historical/profile work cleanly separated.

I’d keep this separate.

The current draft PR is a clean first slice: raw deterministic visibility for session tokens and checkpoint tokens, plus recommendations. It already passed mise run check. Adding --agent-brief now would change the PR from “token diagnostics primitive” into “agent coaching UX,” which is related but a different product layer.

Why separate is better:

• Review clarity: current PR answers “can we show token usage and recommendations correctly?” Next PR answers “can agents consume this and coach users well?”
• Lower merge risk: the current PR touches checkpoint/session reporting and aggregation correctness. It is already a meaningful change.
• Faster feedback: reviewers can validate the base data model and command shape before we build on it.
• Cleaner iteration: the agent-brief copy and output contract will likely need product tuning. Better not block the primitive on that.
• Revert safety: if the coaching UX is wrong, we can revert that PR without losing the diagnostics commands.

I would only fold it into the current draft if the goal is to ship one cohesive “token UX” bundle and reviewers expect the first PR to include the in-agent usage story. Since the current PR is draft, editing it is mechanically easy, but product-wise I’d still prefer separate unless you want a single larger review.

I’d branch the new PR off the current PR branch (tokens), not main, if the new work depends on entire session tokens.

Reason: --agent-brief would reuse the command, report structs, recommendation rules, and tests introduced in PR #1393. Branching from main would force us to duplicate or reintroduce that work, creating conflict and review noise.

So the stack would be:

Once #1393 merges, retarget/rebase the second PR onto main. This keeps the second PR focused on only the agent-native brief layer.

If we instead decide to build a totally independent historical profile command that does not rely on the new session/checkpoint commands, then branching from main could make sense. But for the next recommended slice, branch from tokens.

I’ll stack the next branch on top of tokens so the diff only contains the agent-native brief layer. I’ll create tokens-agent-brief, write the failing tests first, implement the brief renderer, run checks, then open a draft PR stacked on #1393.

The current tokens branch is clean and at the PR commit. I’m branching from it now into tokens-agent-brief.

I’m on the stacked branch. Next I’m adding tests for the new brief mode: one high cache replay case, one no-token-data case, and one session-group invocation through entire session tokens --agent-brief.

I’m adding the red tests now. They define --agent-brief as a concise, agent-consumable text mode and make it mutually exclusive with JSON.

The tests are in. I’m running only the new brief-focused tests now; they should fail because the flag does not exist yet.

The red run failed exactly as expected on the missing flag. I’m adding the flag, the compact renderer, and simple rule mapping from existing recommendation IDs into a next action plus signals.

The implementation is in. I’m formatting and rerunning the brief tests that were red.

The new brief tests pass. I’m running the full token command test slice next to make sure the original text and JSON modes stayed intact.

The whole token test slice is green. I’m checking the stacked diff and then I’ll run lint/checks.

The stacked diff is limited to session_tokens.go and its tests. I’m running lint and the CLI package tests before the full repo check.

Lint is clean. The CLI package test is still running; I’m waiting for it to finish.

Lint and the CLI package tests pass. I’m running the full mise run check now so this stacked PR has the same validation as the base PR.

Full check has cleared fmt and lint; the race/integration test pass is running now.

The Go packages have passed and the canary phase is running. I’m waiting for the final result.

mise run check passed, including lint, race tests, and canaries. I’m doing the final whitespace/status check, then I’ll commit and push the stacked branch.

The stacked diff is clean and limited to two files. I’m staging and committing it now.

I did run tests before attempting to stage. I’ll pause the publish step and give you the exact plan plus the verification already completed; first I’m checking whether the interrupted git add changed the index.

No files are staged. The interrupted git add did not change the index.

Plan from here:

1. Keep this as a stacked branch off tokens: current branch is tokens-agent-brief.
2. Finish only the --agent-brief slice:
   • entire session tokens --agent-brief
   • compact usage line
   • “Next best action”
   • short signal list
   • --json and --agent-brief mutually exclusive
3. No historical profile, no waste analysis, no memory writing in this PR.
4. Re-run verification if you want fresh output after the interruption.
5. Stage only:
   • cmd/entire/cli/session_tokens.go
   • cmd/entire/cli/sessions_test.go
6. Commit, push tokens-agent-brief, and open a draft PR targeted at tokens.

Tests already run and passed before staging attempt:

• Red test first: failed on unknown flag: --agent-brief
• Focused brief tests passed:
  • TestTokensCmd_AgentBrief...
  • TestSessionsCmd_TokensSubcommandAgentBrief
  • REDACTED
• Full token command slice passed
• mise run lint passed
• go test ./cmd/entire/cli -count=1 passed
• mise run check passed, including race tests and canaries
• git diff --check passed

I can rerun mise run check again before committing if you want the freshest possible verification immediately before publish.

Not yet for this stacked --agent-brief change.

I did real checkpoint smoke testing for the previous PR:

For this new branch, I tested via unit tests and full mise run check, but I have not yet run the new flag against an actual saved session state.

Good next manual smoke test would be:

or, if the current session resolver does not pick the useful one:

I should run that before committing this stacked PR.

Agreed. I’ll run the actual CLI command against real local session state before any commit/push. I’m going to list recent sessions first, pick one with token data if available, then run session tokens --agent-brief against it.

The real session smoke test worked mechanically, but it exposed a weak brief: a session with 95.5% cache replay and only 3 API calls got “Continue normally,” while still listing cache replay as a signal. That is inconsistent, so I’m going to fix the brief logic before committing.

I’ll continue from the real-session smoke test: it exposed a logic issue in the compact agent brief, so I’m going to lock that with the focused test, patch the recommendation order, then rerun the actual command and the checks.

I’ve got the bug reproduced from the real command: the token numbers were present, but the brief’s “next action” missed the standalone cache-replay case. I’m checking the current diff and then I’ll run the new focused test red before patching.

The repo is still only modified in the two expected files, and the new regression test is present. Next I’m running just that test to confirm it fails for the right reason before changing production logic.

The focused regression failed exactly on the real-session mismatch: high cache replay was detected as a signal, but the next action still fell through to “Continue normally.” I’m patching that specific priority case now.

That change is intentionally narrow: the brief now treats cache/context replay alone as actionable, while keeping the stronger combined cache-plus-API recommendation first. I’m formatting and rerunning the focused tests next.

Formatting didn’t produce any unexpected noise. I’m rerunning the focused regression and the agent-brief slice now.

The regression is green now. I’m rerunning the actual CLI command against the current real session to confirm the user-facing output changed, not just the unit test.

The actual command now returns the improved recommendation for this real session, matching the signal it detected. I’m moving into the wider verification pass so the branch is ready to commit/PR if everything stays clean.

The token-command test slice and whitespace check passed. I’m running lint and the full CLI package tests next; after that I’ll run the repo’s required mise run check because this is headed toward a stacked PR.

Lint passed. The full CLI package test hit the sandbox’s network-listener restriction in an unrelated httptest logout test, so I’m rerunning that same package test outside the sandbox as required by the escalation rules.

The same full package test passes outside the sandbox, so the earlier failure was environmental. I’m running mise run check now to cover the repo’s required fmt, lint, unit, integration, and canary sequence before any commit/PR.

mise run check is still running; lint and formatting have already cleared, and it’s into the test suite.

The required check is still progressing through package tests successfully. I’m letting it finish rather than treating partial output as enough.

mise run check failed on one integration test, TestExternalCommand_SigintReachesPlugin, where the fake plugin never reached its readiness marker. That is outside the token code path, but I’m not going to ignore it; I’m rerunning that exact test to separate a flaky integration timing issue from a real branch failure.

The exact failing integration test passes on rerun, which points to a transient readiness/timing flake rather than this branch. I’m rerunning the full required check once more so the final state has a clean full pass.

The rerun is still healthy through formatting, lint, and the early package tests. I’m waiting for the integration and canary portions to finish.

No new output yet from the full check; it’s still running. I’ll keep polling until it exits.

Integration passed on the full rerun, and the check has moved into the canary tests. Still waiting for final exit.

The full mise run check rerun passed, including lint, integration, Vogon canary, and roger-roger canary. I’m checking the working tree now for any generated artifacts before I commit the scoped changes.

Only the two intended files are modified, and the diff is scoped to the --agent-brief flag plus tests. I’m doing one last diff whitespace check, then I’ll stage and commit just those files.

The diff whitespace check is clean. I’m staging only the token brief implementation and its tests now.

Real command run:

Output:

Before the fix, the same real session incorrectly said Continue normally; the smoke test caught that mismatch.

Proceeding with the scoped commit and stacked draft PR. I’ll first verify the interrupted git add state so I don’t accidentally include anything unexpected.

The GitHub publishing skill file is missing in this local cache, so I’m using the PR-prep flow plus the gh fallback. The interrupted add did not stage anything; the tree still has only the two intended unstaged files.

The scoped files are staged. I’m checking the staged diff before committing so the commit contains only the intended implementation and tests.

The staged diff is clean and limited to the two token files. I’m committing it with a focused message now.

Commit f0a30be88 is created. I’m checking branch status and recent history before pushing the stacked branch.

The branch is a clean stack: tokens-agent-brief sits one commit on top of tokens / PR #1393. Lint and full check already passed on this exact tree, so I’m pushing this branch now.

The branch is pushed. I’m creating the draft PR against base tokens, so it stays stacked on the existing token diagnostics PR instead of mixing both changes into a main-based PR.

I’m using a short reviewer-facing PR description: what changed, why it is stacked, and the exact validation including the real-session smoke test that caught the recommendation bug.

Draft PR #1400 was created. I’m verifying the base/head/draft metadata and final local state now.

The PR metadata is correct: draft, base tokens, head tokens-agent-brief. I’m doing the final verification sanity check before I close this out.

Created the stacked draft PR:

https://github.com/entireio/cli/pull/1400

Details:

• Branch: tokens-agent-brief
• Base: tokens / PR #1393
• Commit: f0a30be88 add agent brief for token diagnostics
• Local tree is clean.

Real command tested:

Verification completed:

• Focused regression test passed.
• Token command test slice passed.
• mise run lint passed.
• go test ./cmd/entire/cli -count=1 passed outside sandbox.
• mise run check passed on rerun, including integration and canaries.
• git diff --check passed.

One note: the first mise run check hit a transient integration timing failure in TestExternalCommand_SigintReachesPlugin; that exact test passed on rerun, then the full required check passed.

Yes, there are possible quality consequences, and no, we should not claim this automatically reduces future token use yet.

The current feature is diagnostic/guidance only. It does not change prompts, agent behavior, context compaction, tool usage, or caching. So the safe claim is:

“This gives users and agents visibility into token drivers and recommends lower-token next steps. It may reduce future token use when the user or agent follows the recommendations, but reduction should be measured across subsequent checkpoints or sessions.”

Quality tradeoffs:

• Narrowing prompts can reduce exploratory churn, but may miss useful context if too constrained.
• Restarting/compacting can reduce context replay, but can hurt quality if decisions, constraints, failed attempts, and file references are not preserved.
• Cache-read-heavy sessions are not always “bad”; cached tokens may be cheaper and useful for continuity. We should treat them as “context replay pressure,” not automatically “waste.”
• Token reduction can conflict with answer quality if the agent stops reading necessary code or skips tests.

What we can qualify now:

• It surfaces likely token drivers.
• It recommends concrete next actions.
• It was tested on a real session and changed the recommendation from a misleading “continue normally” to a better context-narrowing action.

What we cannot qualify yet:

• That following it actually reduces tokens.
• That it preserves or improves task quality.
• That high cache/context replay is always waste.

Best next measurement would be: compare token usage for the next checkpoint/session after following the brief, especially total tokens, non-cache input tokens, cache-read ratio, API calls, and whether tests/task outcome still pass. That would let us say “in observed sessions, this reduced follow-on token use by X without quality regressions,” instead of just “this should help.”

Yes. I’ll treat this as the next scoped implementation: add measurement language and a follow-up comparison path so we can qualify token reduction from observed sessions instead of implying it. I’m going to inspect the current token command code and checkpoint/session metadata shape first, then I’ll pick the smallest implementation that gives us real before/after evidence.

I need one design checkpoint before coding this because it changes the product claim from “visibility” to “measured impact.” I’ll keep it inline and lightweight, respecting the earlier “no docs” direction.

The current code already has session-level totals, checkpoint-level totals, JSON output, and the compact --agent-brief. The missing piece is not more inference; it is an explicit “measurement status” that says whether reduction has actually been observed and, when there is comparable data, reports the delta.

There are three plausible ways to do it, with different strength of claim:

1. Add only caveat text: quickest, but it still cannot qualify reduction.
2. Add manual checkpoint/session comparison: lets users measure “after following this recommendation, the next checkpoint used fewer/more tokens.” This is measurable and local.
3. Add automatic tracking when --agent-brief runs: strongest UX, but it requires persisting observation state and deciding what counts as the “following call,” which is more product surface and more privacy/semantics risk.

My recommended first version is option 2. It gives us an honest measurable claim without hidden state: entire checkpoint tokens <next> --compare <previous> and/or the same for sessions later. It can say token use went down/up, while explicitly noting that quality is not proven by token deltas.

Yes. I’d do it as a measured comparison feature, not as an automatic claim.

Recommended first scope:

• Add entire checkpoint tokens <next-checkpoint> --compare <previous-checkpoint>.
• Report token delta: total tokens, cache/context replay, API calls, maybe output tokens.
• Label the result carefully: “observed token reduction/increase,” not “quality improved.”
• Include a quality caveat: token reduction is only qualified if the task outcome/tests are still acceptable.
• Keep --agent-brief conservative: it can say “Measure impact after the next checkpoint with …” instead of claiming savings.

Example target output:

I’d put this on the current stacked PR branch only if we want #1400 to be “agent-native token optimization loop.” If we want cleaner review boundaries, it belongs in the base token diagnostics PR #1393 because it extends checkpoint tokens, not just --agent-brief.

I’m not going to start a separate real agent session just to prove this yet. That would spend tokens and produce a noisy measurement, because task difficulty and context shape would dominate the result.

The plan is:

1. Implement a local comparison feature first: entire checkpoint tokens <next> --compare <previous>.
2. Test it with synthetic checkpoints where the token delta is known, so we verify the math and language.
3. Run it against real local checkpoints if this repo has comparable checkpoint token data.
4. Use the output as the “experiment” result: observed token delta only, with an explicit quality caveat.

That gives us a defensible claim: “we can measure whether following the recommendation reduced subsequent checkpoint token use.” It does not overclaim that quality improved or that future calls will always be cheaper.

I’m going to implement this on the current stacked branch, without creating a new agent session. If real checkpoint data is available locally after the code exists, I’ll run the new command against actual checkpoint IDs as the smoke test.

The checkpoint token command is already split into its own file, so the comparison can stay there and reuse the shared token formatting helpers. I’m reading that file and the checkpoint metadata structs closely before adding tests.

The implementation shape is straightforward: the command will resolve the target checkpoint and optional baseline checkpoint, build both existing reports, and attach a comparison object to the target report. Text output will show comparison after token usage; JSON will include structured deltas.

The only subtlety is lookup lifetime: I’ll resolve both checkpoint prefixes through the existing resolver, read both summaries/metadata, and close each lookup after use. The first tests will define the expected text and JSON shape before implementation.

I’ll keep the comparison wording deliberately conservative. The command can say “observed token use decreased,” but it will also say that quality still has to be checked through task outcome or tests.

One implementation choice: I’m putting the comparison under checkpoint tokens rather than session tokens first, because checkpoints are the natural “after a recommendation boundary” unit and already contain committed per-checkpoint token usage.

I’m adding tests first for two concrete cases: text output with a known reduction and JSON output with structured signed deltas. That keeps both the human-facing claim and machine-readable claim pinned down.

The comparison tests are in place. I’m running just those now to confirm they fail because the flag/report fields do not exist yet.

The failure is the expected build failure: checkpointTokensReport has no comparison field yet. I’m adding the minimal production code now: flag parsing, report comparison data, text rendering, and JSON fields.

The production path is in. I’m formatting and rerunning the comparison tests next.

The formatter completed cleanly. I’m running the two comparison tests now; if they pass, I’ll broaden to the existing checkpoint token tests.

The new comparison tests are green. I’m running the full checkpoint-token/session-token slice to make sure the new comparison path did not disturb the existing reports.

The focused token test slice and whitespace check passed. Next I’m going to find local real checkpoints with token metadata so the new command can be smoke-tested against actual checkpoint data.

This branch has two real local checkpoints with token metadata candidates: ab4dd5b77ca7 from the base diagnostics work and f1dfd807cfdc from the agent-brief work. I’m running the new comparison against those now.

The real checkpoint comparison works and, importantly, does not overclaim: for these two real checkpoints it reports an increase, not a reduction. I’m also checking JSON output so downstream tooling can use the comparison fields.

The JSON smoke test also worked: it includes signed deltas and status: observed_increase. I’m moving to lint/package verification now.

I’m going to run the repo checks before updating the PR branch. Since this touches CLI behavior and JSON shape, I’ll do lint, the full CLI package test, and then the required mise run check before committing.

Verification found two concrete issues: I used a helper name that conflicts with formatPlainCount elsewhere, and lint wants repeated comparison status strings as constants. I’m fixing those now, then rerunning the same checks.

The undefined strconv is only in the API-call formatter, so I’ll switch that to the existing fmt import. I’ll also add constants for comparison statuses to satisfy lint.

Those fixes are applied. I’m formatting and rerunning the focused tests before restarting lint/package verification.

The focused comparison tests and diff check are green again. I’m rerunning lint and the full CLI package test now.

Lint and the full CLI package test both pass. I’m running the required full mise run check now before committing and pushing the PR update.

mise run check runs gofmt -s, which simplified fmt.Sprintf("%d", value) to strconv.Itoa(value) without adding the import. I’m adding the explicit import, then I’ll rerun the checks.

The missing import is fixed. I’m running gofmt -s locally this time so it matches the check task before rerunning tests.

Now I’m rerunning the focused test, lint, and full CLI package test after the gofmt -s pass.

Focused tests, lint, and full CLI package tests pass after the import fix. I’m rerunning the full required mise run check.

The full check is through lint, package tests, and building the e2e binary; it’s now in the canary section. I’ll keep polling until it exits.

The full required check passed, including lint, package tests, integration tests, Vogon canary, and roger-roger canary. I’m checking the final diff, then I’ll commit and push the PR update.

Only the two intended files changed, and the diff check is clean. I’m staging and committing this as a second scoped commit on the stacked PR branch.

Test results so far:

• New comparison tests:

  • go test ./cmd/entire/cli -run 'TestCheckpointTokensCmd_(TextOutputWithComparison|JSONOutputWithComparison)' -count=1
  • Passed.

• Existing token command slice:

  • go test ./cmd/entire/cli -run 'TestCheckpointTokensCmd|TestTokensCmd|TestSessionsCmd_TokensSubcommand|TestSessionsCmd_HelpIncludesTokensSubcommand' -count=1
  • Passed.

• Lint:

  • mise run lint
  • Passed after fixing goconst statuses and the strconv import issue.

• Full CLI package:

  • go test ./cmd/entire/cli -count=1
  • Passed.

• Full required check:

  • mise run check
  • Passed, including integration tests, Vogon canary 59/59, and roger-roger canary 4/4.

Real checkpoint smoke test also worked:

One important note: you interrupted during git add, so I need to re-check whether anything was staged before committing.

I’m treating this as product scoping, not coding yet. The key distinction is automated tests prove the command works; data experiments prove whether the workflow actually changes token usage.

Yes, we can add more tests, but there are two different meanings:

1. More automated tests These prove the command behaves correctly: reduction, increase, no change, missing token data, multi-session checkpoints, JSON shape.

2. More data This means running the comparison across real existing checkpoints or future sessions. That tells us whether a workflow actually reduced token usage.

The current work is not just “agent brief” anymore. It is becoming a loop:

But important: the agent brief does not automatically reduce tokens. It only gives guidance. Reduction is only qualified after comparing later checkpoints/sessions.

I’d do this next:

• Add more automated tests for --compare:

  • observed reduction
  • observed increase
  • no change
  • missing baseline/current token data
  • multi-session checkpoint comparison
  • zero-token baseline edge case

• Add a real-data smoke test over existing local checkpoints:

  • compare adjacent checkpoints on this branch
  • report whether usage increased/decreased
  • do not start a new paid agent session for this

The “gradual memory / learning over time” idea is a bigger, separate lane. That would be something like:

It could aggregate historical checkpoints and say:

• repeated high cache replay
• repeated high API calls
• repeated broad search/read loops
• subagents consuming large share
• sessions where token use rose after recommendations

Then optionally suggest memory like:

Prefer Entire search for prior work/checkpoints before broad re-investigation.

Using entire search instead of other search is adjacent but separate: it should be recommended when the agent is looking for prior sessions, decisions, checkpoints, or historical context. It should not replace rg for current codebase search.

Yes. I’ll implement the extra automated coverage for the comparison edge cases now, and use the existing local checkpoints as the real-data smoke test. I’ll keep entire tokens profile as a scoped follow-up lane rather than mixing a new historical aggregation command into this PR update.

The interrupted git add did not stage anything; we’re still at the two intended modified files. I’m going to add the remaining edge-case tests first, then only adjust production code if a test exposes a gap.

The current comparison tests already cover reduction and increase. I’m adding the missing cases now: no-change status, missing token data, aggregate multi-session comparison, and zero-baseline percent handling.

To keep the test additions readable, I’m adding a small checkpoint-writing test helper for the new comparison cases only. That avoids burying the edge cases in repeated metadata setup.

The new edge-case tests are added. I’m formatting and running the comparison test suite to see what the added coverage exposes.

The added comparison tests all pass, so the existing comparison implementation already handled those edge cases. I’m running the broader token-command test slice and then the real checkpoint smoke comparisons again.

The broader token slice and whitespace check passed. I’m running the command against the real adjacent checkpoints now so the final answer has actual local data, not just synthetic tests.

The real smoke test found three checkpoints on this branch, but one is temporary/current and not a committed checkpoint-token comparison target. The two adjacent committed checkpoints compare cleanly and show an observed increase, which is useful data because it proves the command does not assume savings.

I’m rerunning lint, the full CLI package test, and the required full check now because the test file changed after the last full verification.

The full CLI package test passed. Lint found one style issue in the new test helper: context.Context has to be the first argument. I’m fixing that and rerunning verification.

The helper signature and call sites are fixed and formatted. I’m rerunning the comparison tests plus lint before the full check.

Focused comparison tests, lint, and diff check are green. I’m rerunning the full CLI package test and then the full required check.

The full CLI package test passed. I’m running mise run check now for the full pre-PR verification.

The full check is through lint, unit/integration package tests, and is now running the canary section. I’ll wait for the final exit before committing anything.

The full required check passed after the added edge-case tests. I’m checking the final diff and then I’ll update the existing stacked PR branch.

Only the intended two files are modified, and the diff check is clean. I’m staging those files and committing the comparison coverage/update now.

Yes. The added implementation and extra tests are specifically for:

It is not adding entire tokens profile yet.

What --compare now covers:

• observed reduction
• observed increase
• no change
• missing baseline token data
• missing current token data
• multi-session checkpoint aggregation
• zero-baseline metric edge case, like API calls going 0 -> 3

The real local smoke test was also for --compare:

That showed:

So this gives us the measurement loop. The profile/memory idea is the next lane after this.

Proceeding. I’ll first verify whether the interrupted git add staged anything, then I’ll commit the scoped --compare update, push it to PR #1400, and update the PR title/body so reviewers see the expanded scope.

Nothing is staged from the interrupted add; the unstaged diff is still only the two intended files. I’m staging them again now.

The scoped files are staged. I’m checking the staged diff summary and whitespace before committing.

The staged diff is clean and still limited to the comparison implementation/tests. I’m committing it as a second commit on the stacked branch.

Commit 5e86ec38f is created. I’m checking the branch state, then I’ll push it to update the draft PR.

The branch is clean and one commit ahead of the remote. I’m pushing it now.

The branch is pushed. I’m updating the draft PR metadata so it reflects both the agent brief and the checkpoint comparison measurement loop.

The PR is updated. I’m verifying the PR metadata and final local status, then I’ll summarize exactly what changed and what was tested.

Updated PR #1400: https://github.com/entireio/cli/pull/1400

Changes pushed:

• 5e86ec38f add checkpoint token comparison
• Branch: tokens-agent-brief
• Base: tokens
• PR is still draft.
• Local tree is clean.

What’s now included:

• entire session tokens --agent-brief
• entire checkpoint tokens <current> --compare <baseline>
• JSON comparison output with signed deltas and status.
• Tests for reduction, increase, no change, missing baseline/current token data, multi-session aggregates, and zero-baseline metrics.

Real checkpoint smoke result:

Verification passed:

• focused comparison tests
• broader token command tests
• mise run lint
• go test ./cmd/entire/cli -count=1
• mise run check including integration + canaries
• git diff --check

I left entire tokens profile out of this PR as planned; that’s the next lane for historical aggregation and memory-style recommendations.

I’d proceed, but as a separate stacked PR rather than continuing to widen #1400. The comparison loop is now a coherent PR; historical profiling is a broader aggregation feature with its own review surface.

Yes. I’d proceed next with entire tokens profile as a new stacked PR.

Recommended scope:

• Branch from tokens-agent-brief.
• New draft PR base: tokens-agent-brief.
• Add read-only historical aggregation over committed checkpoints.
• Surface repeated patterns:
  • high cache/context replay
  • high API call counts
  • subagent-heavy usage
  • missing token data by agent
  • checkpoints where usage increased after comparison-style recommendations
• Add conservative recommendations, including:
  • use entire search for prior decisions/checkpoints before broad re-investigation
  • batch diagnostics when API-call amplification repeats
  • summarize/restart only when older context is no longer useful

I would not start a new paid agent-session experiment for this. First pass should use existing checkpoint metadata and tests with synthetic checkpoint history.

Yes, existing checkpoints are the right source for the first profile pass. I’ll build this as a read-only aggregation over committed checkpoint metadata, using real local checkpoints for smoke testing and synthetic checkpoint histories for deterministic tests.

That’s better. I’ll use local synthetic tests for deterministic correctness, and use the public entireio/cli-checkpoints metadata as the real-world sample for profile/smoke data. The product command should still be read-only and local-cache-friendly, but the validation can pull public checkpoint metadata.

For the feature itself I’ll avoid network dependence: entire tokens profile should summarize whatever checkpoint metadata is present locally, with an optional fetch path later if we want it. For validation, I’ll fetch/read the public checkpoint metadata so we’re not relying only on this worktree’s two committed checkpoints.

I’m checking the branch state and checkpoint remotes first, then I’ll branch cleanly for the profile work.

The tree is clean on tokens-agent-brief, which is the right base for a stacked profile branch. I’m creating tokens-profile from here.

Branch tokens-profile is active. I’m reading the checkpoint store/listing and root command wiring now so the profile command uses existing APIs instead of inventing a new storage path.

The profile command will fit as a new top-level tokens group because session tokens and checkpoint tokens already own point-in-time reports. tokens profile is cross-checkpoint aggregation, so a separate noun group is cleaner than forcing it under one of those.

There is an existing ListCommitted summary API and a ReadSessionMetadata API. The profile command can aggregate summaries cheaply and only read per-session metadata when it needs agent/model/session-level detail.

ListCommitted already reads session metadata while walking checkpoints, so for a first profile we can avoid loading transcripts entirely. I’m going to design the profile around that summary data and TokenUsage from committed summaries.

I’ll treat the public checkpoint branch as valid test data for smoke validation, while keeping the command itself useful against whatever checkpoint metadata a user has locally. I’m going to check the current branch state, then wire the profile command and test it against both synthetic checkpoints and the public checkpoint refs if available.

I’m using the product/test-writing guidance here because this is a small product surface plus a new behavior that needs focused regression coverage. The working tree is on tokens-profile and appears clean, so I’m going straight into the command shape and tests.

The existing checkpoint token path already gives us most of what we need: committed checkpoint summaries carry aggregate token usage, and we can read each checkpoint without transcripts. For the first version I’m going to keep this metadata-only, then explicitly say when a “wasted search/read loop” cannot be diagnosed because tool-level spend is not stored yet.

I’m going to add the tests before the implementation now. They’ll exercise the behavior that matters: aggregate totals, repeated signal counts, JSON shape, and the empty-history case without depending on private transcripts or remote state.

The first tests are in place. I’m running just the new profile tests now to confirm they fail for the expected reason before adding the command.

The targeted test fails exactly because the new command/types do not exist yet. I’m adding the command now as a top-level tokens profile, backed by committed checkpoint summaries only, so it stays cheap and deterministic.

The command implementation is now added, and I’m registering it on the root command so users can run entire tokens profile directly rather than only through tests.

I’ve kept the scope intentionally narrow: the profile uses aggregate checkpoint metadata and does not inspect transcripts. I’m formatting and running the focused tests next; if there’s a behavioral mismatch, I’ll fix it before broader checks.

The first run exposed a useful implementation bug: root checkpoint summaries can under-report subagent totals, while session metadata has the full usage. I’m switching the profile aggregation to the same per-session aggregation path used by checkpoint tokens, with the root summary only as a fallback.

That fix keeps the profile aligned with checkpoint-level diagnostics rather than relying on a shortcut summary field. I’m formatting and rerunning the focused tests now.

The focused profile tests now pass, including the subagent case. Next I’m going to run the command on real checkpoint metadata, then broaden to the token-related test slice and lint/checks.

For the public-checkpoint part, I’m checking what checkpoint refs are already present locally first. If the public metadata branch is not hydrated enough, I’ll request a network fetch from the public checkpoint repo rather than guessing from stale local state.

The real-data smoke surfaced a robustness issue I wouldn’t have caught with only synthetic fixtures: one public checkpoint advertises a second session directory that is not present. A history-wide profile should not fail the whole scan on one malformed checkpoint, so I’m making metadata reads best-effort with a visible limitation when fallback was needed.

The fallback is in place. I’m rerunning the focused tests, then I’ll retry the real profile command that found the malformed public checkpoint.

The focused tests still pass after the fallback change. I’m running the command against the real local checkpoint branch again to capture actual output.

The real-data run is scanning a much larger checkpoint history than the synthetic tests, so it’s still running. I’ll let it finish and use that timing to decide whether we need a --limit flag before this is reviewable.

The scan is also hitting missing-object reads in the real checkpoint store. That confirms a history-wide command should avoid unbounded scans by default; I’m going to stop this long smoke if it does not finish shortly and add a small --limit default or flag so normal usage is predictable.

The unbounded real scan is still running after roughly 90 seconds, so I’m stopping it and tightening the product behavior. The simplest fix is a bounded default scan with --limit and --all, which also gives us a cleaner public-checkpoint smoke.

The subprocess stdin is closed, so I can’t send an interrupt through that handle. I’m checking whether the process has actually exited; if not, I’ll avoid launching another unbounded scan and move straight to the bounded implementation.

I need to clean up that long-running smoke process before continuing. I’m locating the specific go run ... tokens profile child and will terminate only that process.

The stuck process is PID 94702 from the unbounded profile smoke. I’m terminating that specific process now.

The real scan result makes --limit more than a nicety: without a bound, users with large public checkpoint refs can hit many missing-object fetch attempts. I’m adding a default latest-50 scan, plus --limit and --all, and the output will show available vs analyzed counts.

I’m adding the visible scope line now so the default bound is not hidden. This matters for public checkpoint repos where “all” can mean a very large and partly sparse object graph.

The bounded scope is implemented. I’m formatting and rerunning the profile test slice before trying the real command with the default latest-50 scan.

The profile tests still pass. I’ll smoke the real command with a small --limit 5 first, then the default latest-50 if that behaves.

The real public/local checkpoint smoke with --limit 5 worked and found 4,306 available checkpoints, so this is using the broader public checkpoint history. I’m testing the default latest-50 scope now.

The default latest-50 real-data run completes quickly and produces the expected profile. I’m also checking JSON output on real metadata so downstream consumers can rely on the shape.

Since the smoke forced a --limit surface, I’m adding one regression test for that behavior so the default bounded scan doesn’t drift accidentally.

The limit regression test is added. I’m rerunning the focused tests, then I’ll move to the broader token command tests.

The new profile tests pass. I’m running the broader CLI token-related test slice now, including the earlier session/checkpoint token work this stacks on.

The broader token test slice passes. I’m running the full cmd/entire/cli package next because this touched root command registration and shared token helpers.

The full CLI package tests pass. I’m running lint now; if formatting or lint catches anything, I’ll fix that before the final full check.

Lint is clean. I’m doing a quick diff review now, then I’ll run the required full mise run check.

The diff is limited to root registration plus the new profile command and tests. I’m running whitespace validation, then the full check suite.

Whitespace validation is clean. I’m running mise run check now, which covers fmt, lint, unit, integration, and the Vogon canary suite.

mise run check found a real formatting interaction: gofmt -s rewrote a constant fmt.Errorf into errors.New, so the file needed the errors import. I’m fixing that and rerunning the checks from the point of failure.

The import fix is formatted with gofmt -s. I’m rerunning the focused CLI package test and lint before the full check again.

Focused tests and lint are clean after the gofmt -s fix. I’m rerunning the full mise run check now.

The full check is underway; lint has passed and the race-enabled test suite is still running.

The full unit/integration path and Vogon canary passed; the final roger-roger canary step is still running.

mise run check passed, including the canary tests. I’m doing final status and diff checks, then I’ll summarize exactly what changed and the real checkpoint output.

Implementation and verification are done. Since this is the separate stacked branch we discussed, I’m going to commit it and open a draft PR against tokens-agent-brief unless the remote rejects the push.

The changes are staged. I’m committing them with a scoped message now.

The commit is created. I’m checking the branch state, then I’ll push and create the stacked draft PR.

The branch is clean with commit 93eb40f6a on top of tokens-agent-brief. I’m pushing tokens-profile now; this requires network access.

The branch pushed successfully. I’m opening the draft PR against tokens-agent-brief with the verification details and the real public-checkpoint smoke output summarized.

Draft PR created: #1417. I’m doing a final branch/status check so I can close with the exact state.

Done. Implemented and opened draft PR:

https://github.com/entireio/cli/pull/1417

Added tokens_profile.go and registered entire tokens profile from root.go.

What it does:

• Shows token usage first, then repeated signals, then recommendations.
• Defaults to latest 50 committed checkpoints.
• Supports --limit, --all, and --json.
• Uses committed checkpoint metadata only, not transcripts.
• Handles incomplete public checkpoint metadata with a visible limitation instead of failing the whole scan.

Real public/local checkpoint smoke:

Default smoke:

Verification passed:

• focused profile tests
• broader token test slice
• full go test ./cmd/entire/cli
• mise run lint
• mise run check including Vogon and roger-roger canaries.

I’ll use the product-planning lens here and verify the current PR state before recommending a path. Since PR status can change, I’m checking GitHub rather than relying on the last local state.

Yes: do both, but sequence them.

Current PR state:

• #1393 base token diagnostics: draft, checks pass, but mergeStateStatus is DIRTY against main.
• #1400 agent brief + checkpoint compare: draft, clean, checks pass, stacked on tokens.
• #1417 historical profile: draft, clean, checks pass, stacked on tokens-agent-brief.

Recommended path:

1. Stabilize and close the stack first

   • Fix/rebase #1393 against main.
   • Once clean, mark #1393 ready for review.
   • Then merge/order the stack: #1393 -> #1400 -> #1417.
   • Don’t add more scope to these PRs unless review finds issues. They already form a coherent visibility MVP.

2. Run the optimization-quality investigation separately

   • The current PRs give visibility and recommendations.
   • They do not yet prove reduced token use or preserved quality in subsequent agent calls.
   • That should be a separate experiment branch/PR, because it needs measurement design, not just UI/CLI work.

I’d frame the next investigation as:

Measure:

• total tokens
• cache read %
• API calls
• tool/read/search/explain behavior
• completion quality: tests pass, diff quality, user acceptance, fewer regressions
• whether entire search / entire explain reduces repeated re-investigation

Experiment shape:

• Pick 5-10 comparable tasks/checkpoints.
• Run baseline agent sessions without token guidance.
• Run guided sessions using entire session tokens --agent-brief, entire tokens profile, and targeted entire search / entire explain.
• Compare token movement and outcome quality.

I would not block the current PR stack on proving optimization. Ship visibility first, then use it to run the proof.

I’ll use the GitHub review-comment workflow plus a code-review stance here. I’m going to pull the review threads/comments for all three PRs, start with #1393, and review #1393 in the context of the stacked follow-ups rather than treating it as isolated.

There is an unrelated local deletion of t1.txt in the worktree; I’m going to leave it alone. The named GitHub skill path in the plugin cache moved or is absent, so I’m locating the available copy and continuing with the same workflow manually if needed.

I found the current GitHub comment skill location. I’m reading its workflow now, then I’ll fetch flat comments and unresolved review threads for #1393, #1400, and #1417.

The workflow confirms we need thread-aware reads, not just gh pr view --comments. I’m checking the bundled fetch script usage and then I’ll pull review threads for the three PRs.

GitHub auth is good. I’m going to use GraphQL directly for all three PRs so we get unresolved inline thread state; gh pr view --comments would miss resolution/outdated context.

I have the review comments. For #1393 there are five unresolved inline threads: two about accidental t1.txt, one Ctrl+C cancellation handling, and two wording/behavior mismatches. I’m now reviewing the actual #1393 diff against main, while keeping #1400 and #1417 comments in view because fixes may be better applied across the stack.

The subagent review-swarm tool is available, but I’m not using it because you didn’t explicitly ask for parallel agents; I’ll do the adversarial pass locally. I’m fetching the latest refs now so the #1393 diff and “DIRTY” status are evaluated against current main.

Refs are refreshed. I’m reading the #1393 patch and the stacked deltas now so the review can separate base-PR issues from things already improved in #1400 or #1417.

The #1393 patch still includes t1.txt; the current local worktree has it deleted but not committed. I’m treating that as existing user/local work and will not stage or revert it while doing this review.

I’m checking the underlying session lookup and checkpoint lookup helpers now. The biggest adversarial question is whether the help text is merely imprecise or whether the command can operate outside the scope users think they requested.

The code confirms the wording issues are not just cosmetic: FindMostRecentSession deliberately falls back to other worktrees, and checkpoint token lookup uses the explain resolver. I’m checking whether the explain resolver already installs the blob fetcher, because that affects both the #1393 checkpoint command and the #1417 profile comment.

One additional adversarial edge case from the #1417 smoke applies back to #1393: some public checkpoint summaries advertise session paths that are incomplete locally/remotely. I’m confirming whether checkpoint tokens fails on that real checkpoint rather than falling back to the root token summary.

Confirmed: checkpoint tokens 5098e5414812 fails on a real public checkpoint with incomplete session metadata. That’s a material reliability finding for #1393, not just a future profile concern. I’m also checking the DIRTY merge status so we know whether close-out means a rebase conflict or just stale metadata.

The merge conflict is narrow: cmd/entire/cli/checkpoint_group.go help text changed on main while #1393 added tokens. That should be easy to resolve during rebase, but it is currently why GitHub marks #1393 dirty.

PR Comments I checked thread-aware comments on all three PRs.

#1393 unresolved:

• t1.txt: accidental scratch file. Cursor and Copilot both flagged it.
• session_tokens.go: Ctrl+C/context cancellation can return noisy wrapped errors.
• checkpoint_tokens.go: help says “local and deterministic”, but checkpoint resolution can fetch remote metadata and resolve commit refs.
• session_tokens.go: help implies current-worktree-only, but FindMostRecentSession can fall back to another worktree.

#1400 unresolved:

• session_tokens.go: --agent-brief has no next action for API-call-only amplification.

#1417 unresolved:

• tokens_profile.go: profile store lacks SetBlobFetcher(FetchBlobsByHash).
• tokens_profile.go: --limit and --all should be marked mutually exclusive.

Review Findings For #1393 Medium: checkpoint_tokens.go fails the whole command when one advertised session metadata directory is missing. I confirmed this on real checkpoint data:

This should fall back to root token summary or readable session metadata and include a limitation, similar to what we added for profile.

Medium: t1.txt should be removed from #1393. There is already an unstaged local deletion of t1.txt; I did not touch it.

Low/medium: cancellation handling should wrap context.Canceled / DeadlineExceeded in NewSilentError for session/checkpoint token commands so Ctrl+C does not print noisy internal errors.

Low: Help text needs to match behavior for both session and checkpoint token commands.

Stack Context #1393 is currently DIRTY against main. The merge conflict appears narrow: cmd/entire/cli/checkpoint_group.go help text changed on main while #1393 added tokens.

Recommended fix order:

1. Fix #1393: remove t1.txt, cancellation handling, help text, malformed checkpoint metadata fallback, rebase conflict.
2. Rebase/fix #1400: add API-amplification-only next action and test.
3. Rebase/fix #1417: add blob fetcher, mark --limit/--all mutually exclusive, test.
4. Run mise run check, push stack, then mark PRs ready in order.

I’ll implement only the fixes surfaced by the comments/review, not new product scope. I need to apply them on the right stacked branches so #1393, #1400, and #1417 each get their own relevant corrections.

The fixes are clear and technically valid. I’m starting with #1393 on the tokens branch: remove the stray file, fix cancellation handling/help text, and make checkpoint token reads tolerant of incomplete session metadata.

For #1393, I’m making the cancellation and fallback behavior explicit in code rather than only changing text. The checkpoint command will still report token data when root checkpoint metadata has usable totals even if one session metadata path is missing.

I’m adding focused tests for the two behavioral fixes on #1393: cancellation is silent, and incomplete checkpoint session metadata falls back to root token totals instead of failing.

The #1393 code and tests are updated. I’m formatting and running the targeted token tests on the base branch before committing.

Formatting caught a syntax issue in the edited checkpoint help string. I’m inspecting that block and fixing it before rerunning tests.

I’ll keep this pass scoped to the review-comment fixes on the existing stack, starting with tokens / #1393. I’m going to repair the syntax issue from the help text patch, run the focused tests, then move through the stacked branches only for their actionable review fixes.

Using the receiving-code-review workflow here: verify each comment maps to a real issue, then apply the narrow fix. The current branch has only the expected token command files plus the scratch-file deletion.

I found the first local issue: the checkpoint help copy patch used command backticks inside a Go raw string, which broke parsing. I’m fixing that first, then I’ll run gofmt and the focused token tests before touching the stacked branches.

The files now format cleanly. I’m checking the exact diff before running tests so I only verify the changed behavior and don’t accidentally include unrelated edits.

The #1393 diff is narrowly the four reviewed items: help text truthfulness, cancellation suppression, incomplete checkpoint metadata tolerance, and removing the scratch file. I’m running the focused CLI tests now.

The focused unit tests passed. I’m also rerunning the real checkpoint case that previously failed on incomplete session metadata, because that was the practical regression behind one of the review comments.

The real checkpoint command now succeeds and reports the limitation instead of aborting. I’m going to run lint for the branch before pushing, per repo rules, then commit just these #1393 fixes.

Lint passes on #1393. I’m staging only the reviewed files and the accidental scratch-file deletion, then I’ll push the existing PR branch.

The #1393 fixes are committed locally as 466acdb14. I’m pushing that branch now, then I’ll move to the next stacked branch for its single actionable fix.

The base PR branch is pushed. Next I’m switching to tokens-agent-brief and updating it on top of tokens so the #1400 fix is based on the just-pushed base changes.

The worktree is clean after the base push. I’m switching branches now; if the stack is already linear this should be a fast rebase, otherwise I’ll resolve only conflicts caused by the token fixes.

The rebase has one expected conflict in session_tokens.go: the agent-brief branch touched the same command help area that #1393 just corrected. I’m resolving that by keeping the truthful help text and the agent-brief behavior.

I’m keeping --agent-brief and the conflict-free cancellation helper, while retaining the corrected “fallback to newest session” description from #1393. No behavior beyond the reviewed branch is being added here.

The conflict is resolved in the help/flag block. I’m formatting and continuing the rebase now, then I’ll apply the #1400-specific review fix.

The unresolved marker is gone; Git still needs the resolved file marked during the rebase. I’m staging the two files from this rebase step and continuing.

The second stack commit also conflicts where checkpoint token reporting changed. I’m resolving it by preserving the new incomplete-metadata fallback and the existing comparison feature from this branch.

The resolution keeps error suppression at the command boundary: loaders return normal wrapped errors, and runCheckpointTokens converts cancellation/deadline into silent errors. That avoids duplicating the concern while covering both target and baseline checkpoint loads.

The checkpoint command conflict is resolved with both features intact. I’m cleaning up the test conflict the same way: keep the incomplete-metadata regression test plus the comparison coverage from the stacked branch.

The test conflict is just an ordering/merge-marker issue. I’m placing the incomplete-metadata test before the comparison tests and leaving the comparison helper unchanged.

All merge markers are removed. I’m formatting the resolved files and then I’ll continue the rebase.

The combined code formats cleanly. I’m staging the resolved checkpoint files and continuing the rebase.

The branch is rebased. Now I’m applying the actual #1400 review fix: an API-call-heavy brief should tell the agent what to do next, even when the problem is not subagent-heavy.

The code already handles cache+API and cache-only brief cases; the gap is API-only. I’m adding the missing branch and a focused test that would have failed before.

The API-only branch is in place. I’m adding the regression test beside the existing agent-brief tests so the priority order stays explicit.

The #1400 fix and test are in place. I’m formatting and running the focused agent-brief and checkpoint-token tests on this rebased branch.

The focused tests pass on the rebased #1400 branch. I’m checking the diff, then I’ll lint, amend/commit the small review fix, and push the updated branch.

The only uncommitted #1400 change is the API-only next action plus its regression test. Since the branch was rebased, the eventual push will be a force-with-lease update to the existing draft PR branch.

Lint passes on #1400. I’m committing the API-only agent-brief fix as a separate review-feedback commit.

The #1400 fix is committed as f7bd58217. I’m force-with-lease pushing because the branch history changed during the rebase onto the updated base PR.

The #1400 branch is updated. I’m moving to tokens-profile next and rebasing it onto the fixed tokens-agent-brief branch before applying only the #1417 review fixes.

The worktree is clean after the #1400 push. I’m switching to the profile branch and replaying it on top of the fixed stack.

The profile branch contains old copies of the lower-stack commits, so the rebase is trying to replay add agent brief... even though the fixed version is already in the new base. I’m skipping duplicate lower-stack commits and will only resolve/apply the actual profile commit if needed.

The next conflicting commit is the old checkpoint-comparison commit, also already present in the fixed base. I’m skipping that duplicate too, then the profile-specific commit should replay.

The profile branch is now based on the fixed stack. I’m locating the profile command implementation and tests to add the missing blob fetcher and the --limit/--all flag exclusivity.

The first search was too broad because all matches everywhere. I’m narrowing to the profile command files before editing.

I found the profile command in tokens_profile.go with dedicated tests. I’m reading that small file and its tests to make the two review fixes in place.

For #1417, I’m making the two direct fixes: configure the committed store with the same blob fetcher used by checkpoint explain, and let Cobra reject --limit with --all. I’ll add a focused mutual-exclusion test; the blob fetcher path is covered by the command using the configured store.

The implementation changes are in. I’m adding the flag validation test now so --limit --all cannot regress silently.

The #1417 test is in place. I’m formatting and running the focused profile tests, plus the token command tests affected by the lower-stack rebase.

The focused tests pass. I’m checking the #1417 diff, then I’ll lint and push the profile branch update.

The #1417 diff is just the two reviewed fixes and the mutual-exclusion test. I’m running lint now before committing and force-with-lease pushing the rebased profile branch.

Lint passes on #1417. I’m also running the real CLI flag path once to confirm Cobra rejects --limit plus --all outside the unit test harness.

The real CLI invocation also rejects the conflicting flags with Cobra’s mutual-exclusion error. I’m committing the #1417 fixes now.

The #1417 fixes are committed as 5315c6280. I’m force-with-lease pushing the rebased profile branch to update the draft PR.

All three branches are pushed with only the review-comment fixes. I’ve run focused tests and lint on each affected branch; I’m running mise run check on the top branch now as the final full verification pass.

mise run check is still running; lint has passed and the race-enabled test suite is in progress.

The main Go packages are passing under the race-enabled CI test run. The remaining integration/canary pieces are still running under mise run check.

No new output yet; the full check is still active. I’m waiting for completion rather than starting another verification in parallel.

The unit and integration portions have passed; mise run check is now in the Vogon canary phase, which is the deterministic no-API e2e pass.

mise run check passed end to end, including lint, race-enabled tests, integration tests, and deterministic canary e2e. I’m doing one final git status check so I can report exactly where the branches landed.

Implemented and pushed the review-comment fixes only.

Updated branches:

• tokens / #1393: 466acdb14
  • Removed accidental t1.txt
  • Suppressed noisy cancellation/deadline errors for token commands
  • Corrected session tokens / checkpoint tokens help text
  • Made checkpoint tokens tolerate missing per-session metadata and fall back to root summary with a limitation
• tokens-agent-brief / #1400: f7bd58217
  • Added API-only next-action guidance for --agent-brief
• tokens-profile / #1417: 5315c6280
  • Added checkpoint blob fetcher for profile reads
  • Made --limit and --all mutually exclusive

Verification:

• Focused Go tests passed for token/session/checkpoint/profile paths.
• Real checkpoint smoke passed: checkpoint tokens 5098e5414812 now reports usage and a limitation instead of failing.
• Real CLI flag smoke passed: tokens profile --limit 2 --all now rejects the invalid flag combo.
• Full mise run check passed, including lint, race-enabled tests, integration tests, and canary e2e.

Current worktree is clean on tokens-profile.

I’ll check the current PR state quickly rather than rely on the pre-push snapshot. The key distinction is “fixes already handled” versus “new comments that appeared after the pushes.”

The GitHub skill file path listed in the environment isn’t present locally, so I’m falling back to gh for the PR state check.

Not only two. The review-comment fixes were on all three PRs, and I pushed fixes to all three:

• #1393 tokens: fixes pushed, but PR still shows DIRTY against main and REVIEW_REQUIRED.
• #1400 tokens-agent-brief: fixes pushed, merge state CLEAN, checks passing.
• #1417 tokens-profile: fixes pushed, merge state CLEAN, checks passing.

So the only obvious remaining fix-work from the current PR state is #1393’s merge conflict against main. The two stacked PRs look clean after the fixes.

I’ll verify the thread-level review comments before saying yes. GitHub’s PR summary does not show whether inline threads are still unresolved or whether a new comment came in after the fixes.

The bundled GitHub skill file is missing in this local plugin cache, so I’m using gh api graphql directly to inspect unresolved review threads.

The GraphQL calls hit the sandbox network block. I’m rerunning the same read-only PR-thread queries with network access so I can answer accurately.

Yes. Based on the current GitHub thread state, all review comments across the three PRs are addressable/resolvable now.

Current thread status:

• #1393: 5 unresolved threads, all isOutdated: true
  • These are the t1.txt, cancellation, and help-text comments. They’re fixed in 466acdb14.
• #1400: 1 unresolved thread, not outdated
  • API-only --agent-brief next action. Fixed in f7bd58217.
• #1417: 1 unresolved thread, not outdated
  • Missing profile blob fetcher. Fixed in 5315c6280.
  • The --limit / --all thread is already resolved.

So yes: the comments can be resolved. Separate from comments, #1393 still has a merge conflict against main, but that is not a remaining review-comment fix.

I’m answering this directly rather than implying a review happened. The verification I ran was tests/lint/checks, not a fresh full review pass.

No. After the fixes, I ran:

• Focused token/profile tests
• Real CLI smoke checks
• mise run lint
• Full mise run check

I did not run a fresh review + adversarial review across all three PRs after the fixes.

I did manually verify the review comments before fixing them, but that is not the same as a full post-fix review/adversarial review pass.

I’ll do this as a read-only review pass: first a normal code-review sweep, then a more adversarial pass looking for edge cases and contract breaks across the stacked diffs. I’ll use the review skills and keep the output focused on actionable findings.

I’m going to review the three PRs as their actual stacked diffs: #1393 origin/main...tokens, #1400 tokens...tokens-agent-brief, and #1417 tokens-agent-brief...tokens-profile. First I’m refreshing refs so the review is against the current remote state.

Refs are refreshed. I’m collecting the changed-file lists and patch context for each PR before launching the adversarial review pass, so reviewers get the right scope instead of the whole top branch.

The three diffs are substantial enough to justify a parallel read-only review. I’m loading the multi-agent tool now and will give each reviewer the same scoped intent packet.

I won’t spawn subagents because the current tool rules only allow that when the user explicitly asks for parallel/sub-agent work. I’ll still do two passes locally: normal review for correctness/maintainability and an adversarial pass for edge cases, stale stack interactions, and failure modes.

Whitespace/diff checks are clean across all three PR diffs. I’m now reading the implementation around command wiring, report construction, comparison logic, and profile aggregation with line numbers so findings can be precise.

One read-only merge-tree check hit a sandbox temp-file restriction, so I’m rerunning that with the allowed tmp/cache context. This is to inspect the known #1393 DIRTY state, not to modify the branch.

The merge conflict is confirmed and limited to checkpoint_group.go help/wiring text. I’m now checking the exact base/main/head versions and then I’ll continue the code review for behavior issues.

I’m in the adversarial pass now. I’m specifically checking for unintended behavior drift from .gitignore changes, stale command wiring, cancellation/error handling, partial checkpoint metadata, and profile scan failure modes.

A concrete issue surfaced in the adversarial pass: the new .gitignore entry skills/ is broader than a root-local scratch ignore and will ignore nested skills directories anywhere in the repo. I’m checking whether there are any other similar behavior-level issues before I summarize.

I’m checking token usage semantics next: if a provider records API-call count without token totals, the current helper may drop that data. That would matter because API-call amplification is one of the new diagnostic signals.

I found a stronger behavioral issue than the .gitignore one: TokenUsage explicitly treats APICallCount as real usage data, but the new reporting helper drops reports when token totals are zero. That means an API-call-only session/checkpoint/profile can be misreported as “no token data” and never trigger API amplification.

The adversarial review found two material implementation concerns and one merge blocker. I’m doing one last pass over the exact line references and current verification status before I give you the findings-first summary.

Findings

1. High, #1393: PR is still not mergeable into main. git merge-tree origin/main tokens reports a content conflict in checkpoint_group.go. This needs to be resolved before #1393 can land.

2. Medium, #1393/#1400/#1417: API-call-only token data is dropped. session_tokens.go returns nil whenever token total is 0, but TokenUsage.APICallCount is explicitly valid usage data in types.go and hasTokenUsageData treats API calls as data in manual_commit_condensation.go. Result: a session/checkpoint/profile with only API-call counts gets reported as “no token data” and misses API amplification recommendations.

3. Low, #1393: .gitignore ignores every nested skills/ directory. .gitignore uses skills/, which matches nested paths like docs/skills/ or cmd/.../skills/. If the intent is only root-local scratch/plugin state, this should be /skills/.

No security/privacy issues found in the review pass.

Checks I ran for the review:

• git diff --check across all three stacked diffs: clean
• git merge-tree origin/main tokens: confirms the #1393 conflict
• Read-through/adversarial pass on token usage construction, checkpoint comparison, profile aggregation, command wiring, and ignore patterns

The full mise run check had already passed after the fixes, but these findings are still worth addressing before merge.

I’ll fix these in the stack order: base tokens first, then rebase/update tokens-agent-brief, then tokens-profile. The API-call-only fix belongs in the base helper, so the stacked PRs should inherit it after rebasing; profile likely needs one focused regression test on top.

The worktree is clean. I’m switching to the base PR branch and rebasing it onto current origin/main to resolve the merge blocker before changing behavior.

Now I’m rebasing tokens onto origin/main. The expected conflict is in checkpoint group help/wiring, and I’ll preserve both main’s current command text and the new tokens subcommand.

The rebase hit .gitignore first, not checkpoint help. This is adjacent to one of the findings, so I’m resolving it now by keeping the local scratch ignores but scoping skills to the repo root.

This conflict is just ordering around existing /git-remote-entire and the two scratch directories. I’m keeping all three entries. The root-scoped /skills/ fix will be applied after the rebase finishes, so it lands in a clean review-fix commit.

The .gitignore rebase conflict is resolved. I’m continuing the rebase to handle the next conflict, if any.

The next replayed commit is the skills ignore. This is the finding directly: I’m resolving it as /skills/ so nested skills directories remain trackable.

This conflict is resolved by keeping /git-remote-entire and replacing the broad skills/ pattern with /skills/.

The root-scoped ignore pattern is now part of the rebased history. I’m continuing; the checkpoint command help conflict may still appear later in the rebase.

The expected checkpoint group conflict is here. I’m resolving it by keeping main’s current checkpoint group wording and adding the new tokens command and example.

Main currently omits rewind from the manual help list while still registering the command. I’m preserving that main behavior and adding only the new tokens line/example to avoid reintroducing help text drift.

The checkpoint group conflict is resolved with the new tokens command and main’s help shape. I’m formatting and continuing the rebase.

The conflict files are staged for the rebase step. I’m continuing to replay the remaining base-branch fix commit.

The base branch is now rebased onto current main. I’m checking the resulting log and then applying the remaining API-call-only reporting fix on top.

The root ignore is fixed in the rebased base branch. One caveat: this local repo’s .git/info/exclude also has a broad skills/ pattern, so git check-ignore still reports nested skills via local metadata, but the PR’s .gitignore no longer causes that. I’m patching API-call-only reporting now.

The helper now treats API-call counts as reportable usage even when token totals are zero. I’m adding a regression test so API-call-only sessions trigger the amplification recommendation instead of “no token data.”

The existing session token tests are grouped in sessions_test.go; I’m inserting the API-only regression there, before the subcommand wiring tests.

This test uses the real command path and JSON output, so it checks both report construction and recommendation generation without depending on text formatting.

The API-call-only regression test is in place. I’m also correcting the nearby checkpoint group comment so it reflects the newly registered tokens child after the conflict resolution.

The base branch changes are now the merge fix, scoped ignore pattern, and API-call-only reporting. I’m formatting and running focused tests before committing.

The focused test exposed two real rebase fallout items: base tests now need the new checkpoint.NewGitStore(repo, refs) signature from main, and my new base test referenced a helper that only exists in the next stacked PR. I’m fixing both on the base branch.

The new checkpoint store constructor requires explicit refs after rebasing onto main; I’m updating the added token tests to use checkpoint.DefaultV1Refs(), matching the surrounding test suite.

I added a base-branch-only test helper so it won’t depend on the agent-brief helper introduced in the next PR. Now I’m updating the checkpoint stores in the added tests.

There are three added NewGitStore calls in this base test block. I’m changing them to the explicit v1 refs constructor used by the rest of the codebase.

I’m applying the constructor updates mechanically across the three added test call sites.

The base test compile issues are fixed. I’m formatting and rerunning the focused base tests.

The focused base tests pass. I’m checking that the #1393 merge conflict is gone before committing the base review fixes.

The only uncommitted base changes are the API-call-only fix, the rebase fallout for the store constructor in tests, and a comment cleanup. The merge-tree check needs temp-file access again, so I’m rerunning it with /private/tmp.

The merge-tree check now returns a merged tree ID with no conflicts, so #1393’s merge blocker is fixed. I’m committing the base API-call-only/reporting fixes next.

The base fix is committed as 70ab79474. I’m running lint on the base branch before force-with-lease pushing the rebased #1393 branch.

Lint passes on #1393. I’m pushing the rebased base branch, then I’ll rebase the two stacked branches on top of it.

#1393 is pushed. For #1400, I’m rebasing only its unique commits onto the new tokens tip, using the old base SHA as the cutoff so I don’t replay the whole lower stack.

The branch is on the old stack. I’m rebasing commits after the previous #1393 tip onto the new tokens branch.

The first #1400 commit conflicts only in tests, where the new base API-only regression sits near the agent-brief tests. I’m resolving by keeping both the base regression and the agent-brief coverage.

The conflict is a block replacement, not a semantic disagreement. I’m reconstructing the test block with the base JSON API-only test first, then the agent-brief tests from #1400.

I’m replacing the conflicted chunk with the combined sequence explicitly; this keeps test order readable and avoids depending on conflict markers.

The combined test block is resolved. I’m checking for leftover markers and then continuing the rebase.

No conflict markers remain. I’m formatting the touched files and continuing the #1400 rebase.

The resolved files format cleanly. I’m staging and continuing the rebase.

The #1400 branch rebased cleanly after resolving the test overlap. I’m running focused #1400 tests now, including API-only brief and checkpoint comparison.

The #1400 comparison tests have the same constructor drift from main. I’m updating the remaining added checkpoint store calls to use explicit v1 refs.

All remaining constructor misses are in the newly added comparison tests. I’m replacing them with checkpoint.NewGitStore(repo, checkpoint.DefaultV1Refs()).

The constructor update is mechanical across those test call sites. I’m formatting and rerunning the #1400 focused tests.

The #1400 focused tests pass. I’m committing the rebase fallout fix for the comparison tests, then I’ll lint and push the rebased #1400 branch.

The only uncommitted #1400 change is the constructor update in comparison tests. I’m committing that as a stack-rebase compatibility fix.

The #1400 compatibility fix is committed. I’m running lint before pushing the rebased branch.

Lint passes on #1400. I’m force-with-lease pushing the updated stacked branch.

#1400 is pushed. Now I’m rebasing #1417’s unique profile commits onto the updated tokens-agent-brief branch.

The profile branch is on the old stack. I’m rebasing commits after the previous #1400 tip onto the new tokens-agent-brief.

The profile branch rebased without conflicts. I’m checking the profile tests for the constructor drift and adding a regression test that API-call-only checkpoints count as token data and produce profile signals.

The profile tests need the same explicit refs constructor update. I’m making that and adding a JSON test for an API-call-only checkpoint profile.

The profile tests now use explicit committed refs and cover API-call-only profile data. I’m formatting and running the focused profile/token tests.

The constructor grep returned no matches, which is the expected result, but because rg exits 1 on no matches it prevented the test command from running. I’m rerunning the tests directly.

The profile command itself now has rebase fallout: NewCommittedReadStore no longer exists on current main; read stores are created via NewGitStore(repo, checkpoint.ResolveCommittedRefs(ctx)) in the rebased code. I’m updating that path.

I’m replacing the removed read-store helper with the current NewGitStore(repo, checkpoint.ResolveCommittedRefs(ctx)) pattern and keeping the blob fetcher from the prior review fix.

The profile command is updated to the current committed-ref API. I’m formatting and rerunning focused tests.

The focused top-branch tests pass. I’m checking the profile diff, then committing the profile rebase/API-only test fixes.

The profile diff is focused: current committed-ref API, test constructor updates, and the API-call-only profile regression. I’m committing it now.

The profile fix is committed. I’m running lint on the top branch before pushing, then I’ll push #1417 and run the full check once on the final stack.

Lint passes on the top branch. I’m pushing #1417 now.

All three branches have been pushed. I’m running the full mise run check on the top branch now; if it finds anything, I’ll fix and repush.

mise run check is still running. Lint and formatting completed cleanly; the race-enabled test suite is in progress.

No new output yet from the test run; I’m waiting for the full check to finish before doing PR status checks.

The main CLI package and agent packages have passed under race-enabled tests. The integration and canary portions are still running.

The unit and integration suite passed; mise run check is now in deterministic canary e2e.

mise run check passed end to end. I’m checking for any formatting changes from the check and then I’ll verify the three PR states.

The worktree is clean after the full check. I’m querying GitHub for the current PR merge/check status on all three branches.

GitHub shows #1393 is no longer DIRTY; it’s BLOCKED because it is still draft/review-required, with checks passing. #1400 is clean with checks passing. #1417 checks are still running remotely, so I’m going to wait briefly and re-query.

I waited for the remote checks to advance. I’m querying #1417 once more for the current CI state.

Addressed the three review findings and pushed all three branches.

What changed:

• #1393 tokens → 70ab79474
  • Rebased onto origin/main, resolving the merge conflict.
  • Scoped .gitignore from broad skills/ to root-only /skills/.
  • Fixed API-call-only token usage so APICallCount is treated as reportable usage even when token total is zero.
  • Added regression coverage for API-call-only session token reports.
• #1400 tokens-agent-brief → c26b87f8b
  • Rebased onto updated tokens.
  • Fixed checkpoint comparison tests for the current checkpoint.NewGitStore(repo, refs) API.
• #1417 tokens-profile → 50d270998
  • Rebased onto updated tokens-agent-brief.
  • Updated profile store construction to current committed-ref API while preserving blob fetching.
  • Added API-call-only checkpoint profile regression coverage.

Verification:

• Focused token/profile tests passed.
• mise run lint passed.
• Full mise run check passed locally, including race tests, integration tests, and deterministic canary e2e.

Current GitHub state:

• #1393 is no longer DIRTY; GitHub shows BLOCKED because it is draft/review-required, with checks passing.
• #1400 is CLEAN, checks passing.
• #1417 is UNSTABLE only because remote GitHub test jobs were still in progress when last checked; local full check passed.