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gstack/CLAUDE.md
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Garry TanandOpenAI Codex 636175d349 v1.87.6.0 fix: make checks reliable and everyday validation faster (#2898)
* fix: acknowledge seeded plans before invoking review skills

* fix: distinguish current plan input from conversation history

* fix: keep hermetic plan reviews on manual permissions

* fix: distinguish tool discovery from file permission ownership

* fix: preserve initial plan mode in observation tests

* fix: wait for scope decisions before writing review findings

* fix: carry autoplan decisions consistently into review artifacts

* test: retain native failure context in periodic assertions

* fix: advance active file permissions before queued questions

* fix: finish red-team attempts before retry and cleanup

* fix: finalize plan format captures and judges before retry

* fix: cancel setup-gbrain SDK attempts before fixture cleanup

* test: select periodic consumers of the bounded attempt helper

* fix native Bash permission cards and queued questions

* fix: preserve independent decisions and review scope

Keep CEO approach, engineering scope and outside-review choices from approving independent remedies together. Carry declared contracts through DX polish and resolve new gaps before editing the plan. Regenerate every host and retain existing stop boundaries.

Validation: 654 focused tests passed across nine files; all-host generation passed. Full free and periodic validation pending.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: require approval before design plan amendments

Align the Design review philosophy and rating recipe with its section protocol: resolve one proposed fix, then apply only that approved decision and retain honest scores for declined fixes.

Validation: 469 focused tests passed across four files; all-host generation passed.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: observe native question completion before transcript persistence

Match owned completion hooks to submitted choices, reject conflicting or late answers, and retain bounded failure evidence.

* test: recognize review posture in acknowledged native questions

Require the selected mode acknowledgement, a completed follow-up question, and its current decoded display while preserving existing posture assertions.

* fix: preserve settled CEO choices and isolate pending remedies

Resolve established approach gates with cited authority and keep independent fixes out of unrelated option commitments and plan amendments.

* fix: carry approved DX choices through later review steps

Choose documentation approaches within the accepted scope and map resolved confusion points without reopening them through a bulk menu.

* test: handle native settings-file edit prompts

Keep one-time owned-file approvals and retain the actual sampled Autoplan permission frame with its matching barrier state.

* test: accept standard CEO reply directives with tuning footers

Recognize the exact trailing preference footer and letter-list directive while preserving current-display and exact acknowledgement checks.

* test: scope split reviewers to their generated plan artifacts

* test: observe native Bash permissions and invocation results

* test: handle owned Bash prompts during mode preference checks

* test: preserve synchronous subprocess rejection in Codex fixture

* Fix periodic review handoff navigation

Recognize review-first and explicit manual-next-step labels while preserving exact action families, manual preference, and ambiguous-menu rejection.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Bind pending file permissions to distinct current targets

Allow one captured file request to own the complete current dialog while unrelated file work is pending. Preserve same-path ambiguity, exact input ownership, and one-time grant checks.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Make paired CEO verification choices genuinely unresolved

Start the positive control with proposed manual checks so its unchanged oracle measures two new coverage decisions. Preserve runtime contracts, targets, count bounds, and all assertions.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Keep CEO review options and verification within approved scope

Audit every offered option for independent add-ons and keep new verification depth pending until accepted. Preserve already requested coverage and trace plan changes to the actual decision.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Assemble DX review artifacts before appending the final report

Keep early DX evidence above decisions, update artifact sections in place, and append the report using the actual current file suffix. Re-read after deleting an existing report before choosing the append anchor.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Keep outside plan reviews exclusive and invocation-owned

Follow one preflight-selected backend, terminate failed Codex work before fallback, and allocate extra prompt/output files uniquely. Consume only the current invocation’s completed output.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Select periodic completion evaluations for report writer changes

Register the shared review resolver for eight missing consumers and regress selection for all nine completion cases without changing their IDs or tiers.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Keep permission ambiguity fixtures on the same normalized target

Use distinct raw spellings of one target in the four negative fixtures so they exercise the normalized duplicate-owner guard after exact current-file disambiguation. Preserve the existing exception, no-input, diagnostic and cleanup assertions.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Clarify preserved contracts in engineering review fixture

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Recognize the offered DX follow-up handoff

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Check independent commitments before presenting review options

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Keep Codex review output and status in one shell invocation

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Distinguish seeded plans from reports written by a test attempt

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Recover clipped Autoplan file approvals with bounded viewport resizing

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Recover clipped Bash approvals before binding the complete command

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Isolate setup message tests from the shared checkout

Run the real installer in a temporary payload with private config, require successful completion, and guard source and binary contents and mtimes.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Fix periodic native permission and report completion handling

Match the pinned CLI's soft wraps and clipped headings without granting from incomplete frames. Retire completed file requests, retain mode annotations, and ask section captures for a short final acknowledgement after their full report is saved.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Preserve review approvals and validate DX comparison artifacts

Keep independent remedies and approved amendments explicit. Give the synthetic DX review its existing documentation and validate peer comparison as required analysis alongside four native decisions. Add positive and negative semantic calibrations while preserving review counts, model budgets and prompt size limits.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Make the five-finding CEO fixture's application boundary explicit

Materialize the request adapter and service composition used by the synthetic payment application. Explicitly declare the revised unregistered-event and mail-telemetry assumptions while preserving uncaught handler errors, the original invoice path and all five unresolved findings.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Keep CEO state-path checks scoped to directory preparation

Co-authored-by: OpenAI Codex <noreply@openai.com>

* Use checked ports and bounded cleanup in pair-agent tests

Discover the daemon port from its owned state file, retain startup diagnostics, and await failed-start cleanup. Add occupied-port, early-exit, deadline, and foreign-state regressions while preserving the existing HTTP assertions and hook budgets.

Co-authored-by: Codex <noreply@openai.com>

* Preserve queued edit identity and recover clipped Bash permissions

Distinguish separately queued unfinished edits from mutation of one native tool ID. Keep grants bound to an exact owned request and reject reused IDs, ambiguous inputs, and competing owners.

Support the pinned renderer's literal em dash and request a repaint when only the Bash card's top rule is clipped. Grants still require the complete fresh card and an exact native acknowledgment.

Validation: 413 integrated parser/event tests passed; private repaint controls and joint source review passed. Full canonical suite and native periodic rerun remain pending.

Co-authored-by: Codex <noreply@openai.com>

* Keep periodic reviews within their approved contracts and deliverables

Carry exact approvals through engineering review, preserve declared contracts when amending CEO plans, and keep prioritization at the requested decision level. Materialize the revised synthetic SDK reference contract while retaining the five original documentation gaps.

Accept the observed semicolon in the finite DX handoff menu and register the direct source dependencies used by the engineering cases. Regenerate canonical review documents without changing model budgets, retries, count bands, or native completion assertions.

Validation: all-host generation and 275 review, fixture, selection and parity tests passed. Full free-suite and native periodic validation remain pending.

Co-authored-by: Codex <noreply@openai.com>

* Keep Eng approval cadence and independence guards explicit

* Accept ordinary punctuation in manual review handoffs

* Recover file permissions alongside queued Bash calls

* Carry approved DX work through later review findings

* Clarify the synthetic auth internal failure decision

* Bound the periodic DX fixture to onboarding changes

* Recognize native Design review handoff labels

* Hold scope in the integration-choice review fixture

* Carry approved Design decisions through review evidence

* Capture listener state when feedback reload fails

* Exclude workspace caches before checking deprecated flags

* Verify Design UI scope against a seeded review plan

* Clarify plan review decisions and outside-voice approval flow

* Reject setup menus in the Design UI gate

* docs: require focused repair validation before final acceptance

* fix: separate review commitments within existing prompt budgets

* docs: align generation and contributor validation guidance

* fix: advance native review prompts and count acknowledged findings

* chore: bump version and changelog (v1.87.1.0)

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* chore: enforce cheap checks and side-effect-free validation previews

* fix: handle owned Fetch permissions and oversized native cards

* test: ground review fixtures in independent executable contracts

* fix: preserve review decisions and verify reports before completion

* test: construct the synthetic credential URL without a scanner false positive

* test: materialize DX examples and verify their actual local behavior

* fix: clarify CEO review decisions and execution order

* fix: clarify review workflow ordering and select Design quality checks

* Fix review decision gates and incomplete evaluation fixtures

Persist CEO and engineering commitment ledgers before menus, preserve exact
approvals, and distinguish implementation structure from feature scope.
Route Autoplan through the canonical CEO Step 0 ordering. Classify DX findings
before requesting approval and ground runtime claims in actual evidence.

Complete neutral non-target fixture contracts and accept the captured Design
handoff purpose without relaxing its ownership or acknowledgment checks.
Record runtime-capability verification in AGENTS.md validation discipline.

Validation: 1,335 focused tests passed across 21 files; build, all-host freshness,
skill validation (647 artifacts / 107 tracked), and credential checks passed.
Prior paid failures are preserved; behavioral acceptance remains pending.

* Fix review decision boundaries and owned Read prompts

Preserve exact approvals across review options, compare consistent DX milestones,
and keep proposed implementation separate from review evidence. Bind modern
Read prompts to one immutable native request and wait for its result.

Retain captured regression verdicts, correct fixture error names, improve import
probe diagnostics, and record focused-first validation discipline in AGENTS.md.

* Clarify CEO and engineering review decisions

Use explicit decision steps, one engineering ledger, and clear scope/write transitions. Preserve exact approvals and distinguish pending test requirements. Keep unrelated generated content unchanged.

* Fix review decision ordering and native evaluation interactions

* Clarify engineering decisions and test artifact order

* Clarify pending choices and approvals in CEO reviews

* Make CEO review phases sequential and clarify completion

* Fix Design board submission intent matching

* Seed an existing browser test baseline for Autoplan

* Document decision-log payloads before state initialization

* Preserve exact review scope and decide one change before drafting options

* Require input identity before repeating passing model judges

* Honor permitted storage throughout CEO review completion

* Match complete native permission text within the pinned renderer contract

* Align review approvals, independent choices, and bounded validation

* fix: preserve reopened approvals and declare fixture interfaces

* fix: isolate review artifacts and audit complete questions

* fix: match detector artifact permissions to configured storage

* fix: complete native permissions and review fixture workflows

* fix: order CEO review work and separate engineering guarantees

* fix: preserve native validation and separate review choices

* fix: clarify review decisions and judge complete report context

* fix: constrain review judgments and retain parse failures

* fix: compare each affected value before review decisions

* fix: make engineering review decisions and completion order explicit

* fix: give the complete Autoplan evaluation a bounded chain budget

* fix(cso): diagnose forbidden Docker endpoints before tool lookup

* fix(reviews): reconcile workflow contracts and generated artifacts after main integration

* fix(evals): migrate retained regressions to the native review harness

* fix(tests): close native harness and workflow integration regressions

* fix(evals): preserve complete permission context and native menu contracts

* fix(tests): capture synchronous command output without pipe drain stalls

* fix(reviews): clarify decision and completion ordering

* fix(reviews): separate decision readiness from final completion checks

* refactor(reviews): consolidate decision rules and completion branches

* fix(plan-eng-review): order preparation and clarify decision routing

* fix(plan-eng-review): restore size and question-format guard parity

* fix(plan-eng-review): clarify scope phases and blocked completion

* fix(plan-eng-review): unify review flow and report destination

* fix(plan-eng-review): define bootstrap and question stage ownership

* fix(plan-eng-review): clarify review structure and design lookup

* fix(plan-eng-review): render report examples and show saved decisions

* fix: consolidate Eng review decisions and select their evaluations

* test: cover overlapping terminal attachments and clean merged runner type

* fix: preserve Office Hours relationship closings during review updates

* fix: retain pasted review targets across slash invocations

* docs: preserve validation traces and correct release scope

* test: cover pasted targets in both review skills

* fix: validate report artifacts before recording success

* fix: redact source roots at CSO report boundaries

* fix: bind native Design questions before answering

* test: select report privacy and native recovery regressions

* test: bind rejection predicate in extracted observers

* fix: bind complete boxed native questions

* test: keep the Design UI fixture on native review

* fix: preserve review decisions and evaluation completion outcomes

* fix: clarify CEO approval and report completion order

* fix: align native review evaluation ownership and completion

* fix: bind review evaluators to native decisions and owned artifacts

* fix: validate review decisions against native outcomes

* fix: preserve review evidence and Autoplan phase handoffs

* test: bind review evidence to owned decisions and completion

* fix: retain owned native history across compaction

* fix(evals): validate current review decisions and setup choices

* fix: bind Autoplan reviews and phase completion to current amended input

* fix: reconcile native review evidence and close Autoplan phases

* test: recognize owned whole-candidate complexity decisions

* test: preserve report freshness for approved investigation handoffs

* fix: recognize scoped review findings and isolate dual voice fixtures

* fix: make review handoffs and question dispatch self-contained

* test: recognize complete CEO decisions and procedural pauses

* fix: bind current CEO comparison options and risk intervals

* test: bind engineering decisions and completion to owned evidence

* fix: publish Autoplan phase reports before continuing tools

* test: verify actual Autoplan dual-review dispatch evidence

* test: select dual review when shared evidence fixtures change

* fix: clarify plan review decisions and completion gates

* fix: make CEO review decisions and return paths explicit

* test: keep Autoplan prompt files inside attempt state

* test: preserve source whitespace across permission dialog wraps

* fix: publish Autoplan phase reports before continuing

* test: recognize current CEO comparisons and reject inactive records

* fix: reconcile engineering decision states before completion

* test: recognize complete Design decisions and reports

* test: verify current engineering decisions before navigation

* Recognize source-owned component reduction choices

* fix: recognize current CEO ledger and commitment grids

* test: supply RequestPolicy context to Eng count fixture

* fix: save complete engineering decisions before asking

* fix: bind Autoplan publication to the complete phase readback

* chore: prepare 1.87.5.0 reliability release

* fix: clarify engineering review completion and preserve log failures

* fix: bind CEO saved choices and current section ancestry

* fix(evals): bind review execution and completion evidence

* fix(plan-ceo-review): verify complete decisions before asking

* fix(evals): preserve complete engineering choice records

* fix(evals): preserve complete review outcomes and bounded fixtures

* fix(autoplan): publish phase reports before advancing

* fix(plan-ceo-review): validate option fields before asking

* fix(plan-eng-review): verify current decisions after answers

* fix(evals): bind review decisions and bound fixture scope

* fix(plan-ceo-review): verify decision rows and edit saved checkpoints

* fix(evals): bind review evidence and scope document lookup

* fix(plan-eng-review): update resolution state with its answer

* fix(reviews): preserve complete questions through dispatch

* fix(evals): recognize completed mode declarations

* fix(evals): define cache consistency at wrapper completion

* fix(evals): validate owned initial scope and completed review handoffs

* fix: assemble complete CEO decision fields before saving

* fix: authenticate automatic mode decisions without guessing selectors

* fix: bind engineering coverage to approved regression contracts

* fix(evals): supply review helpers to native Eng capture

* fix(plan-eng-review): preserve the full selected option scope

* fix(evals): recognize owned engineering seed and regression evidence

* fix(evals): bind engineering retry reports to native approvals

* docs: clarify release guarantees (v1.87.5.0)

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix(evals): recognize owned engineering decisions and handoffs

* fix(evals): bind engineering decisions and completion evidence

* fix(tests): align review contracts and selection fixtures

* fix(skills): restore review prompt size limits

* fix(plan-eng-review): clarify review execution and completion

* fix(evals): preserve configured retries through all supervision layers

* Clarify Engineering decisions and report completion

* Keep native decision assertions within their source boundary

* fix: recognize owned engineering decisions and completed navigation

* fix: bind completed auto decisions to their current review

* fix: recognize explicit CEO source attribution

* fix: dispatch verified CEO decisions without recomposing fields

* test: expose existing execution deadlines to review actors

* fix: distinguish CEO decision records from incidental headings

* test: bind split-scope choices to the registered native actor

* test: connect reviewed regressions to required evaluation coverage

* Clarify CEO decision routing and completion stages

* test: expose existing section review deadlines to fixture actors

* test: recognize complete native CEO pacing inventories

* test: exclude answered history from current CEO payloads

* test: detect phase entry through owned skill HOME aliases

* test: validate native review completion and owned report permissions

* fix: make Autoplan close packets carry the parent handoff steps

* test: assess source-bound HOLD decisions within the existing deadline

* fix: keep CEO native decision fields under one formatting authority

* test: register integrated review and permission dependencies

* test: align native review adapters and finding coverage

Preserve explicit AUTO decisions, apply native single-select defaults, and bind complete cropped questions and report permissions to their owned requests. Require seeded review findings instead of crediting setup menus.

Keep captured failure controls and additive selection dependencies. The integrated candidate passed 3,099 focused tests across 65 files; affected paid validation remains required before publication.

* fix(autoplan): require phase reports before advancing

* fix(evals): bind setup and evidence to complete attempts

* fix(evals): bind native answers and pending writes to fixture scope

Preserve complete option rows when native descriptions wrap, retain current
owned Write arguments before journal publication, and keep engineering and
DX answers within their declared fixture interfaces. Add captured free
regressions without increasing model budgets or relaxing completion checks.

* fix(autoplan): verify phase reports across native tool paths

Guard owned methodology reads and reviewer dispatches, detect complete driver
loads through Bash, and distinguish report-only edits from implementation
changes. Follow authenticated native UUID ancestry when journal writes arrive
out of order and verify earlier native content for cached phase reads.

Keep current close acknowledgment and parent publication in order, require CEO
entry before later phases, and register captured failure regressions.

* fix(evals): honor native input and collection lifecycles

Match complete native Edit panes and truncated question borders, reject stderr close before EOF, and stop the CEO split fixture once its acknowledged scope decisions are collected. Keep semantic validation, process failures, report requirements, and absolute deadlines authoritative.

Add captured-event and real-process regressions with selection dependencies. Focused checks pass; final integrated paid and full-suite acceptance remain pending.

* fix(autoplan): retain native session ownership across directory changes

Recover missed native UUID ancestry through the existing strict graph while preserving ordinary event order and legacy scoping. Bind publication hooks to Claude's original project directory while retaining current cwd for requested file paths.

Captured public-event regressions, existing caller checks, and a pinned native CLI loopback verify both fixes. Preserve failed attempts and require fresh paid and final full-suite acceptance.

* docs: align evaluation limits and completion version

* fix(autoplan): allow authenticated phase reads during journal streaming

* fix(evals): bind clipped native questions and owned edit dialogs

* fix: preserve overlay retries and bounded cleanup

* fix: recognize owned planning preludes in native questions

* docs: explain overlay scheduling and cleanup guarantees

* fix: require fresh publication after Autoplan phase reruns

* Release gstack 1.87.6

* fix: preserve CI paths, process identity, and test deadlines

* fix: keep informational setup commands independent of install probes

* fix: clarify plan review decisions and bound source audit reports

* Fix remaining Windows identity and native path CI failures

* Clarify CEO review decision and reviewer-result routing

* test: accept no-install planner in retry supervision

* fix(ceo-review): make review decisions and report completion explicit

* perf(test): add fast PR gates, input-keyed judge reuse and isolated free shards

* fix(test): start isolated CEO smoke from its existing project plan

* fix(test): repair CI fixture races and preserve retry evidence

* fix(ceo-review): clarify approvals, depth and saved completion

---------

Co-authored-by: OpenAI Codex <noreply@openai.com>
2026-09-22 14:57:52 -04:00

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# gstack development
## Commands
```bash
bun install # install dependencies
bun run test:quick # measured fast deterministic subset for edit feedback
bun run test # complete free suite via the strict parallel runner
bun run test:pr # changed fast live probes + selected judges (CI PR default)
bun run test:evals # run paid evals: LLM judge + E2E (diff-based, ~$4.35/run max)
bun run test:evals:all # run ALL paid evals regardless of diff
bun run test:gate # broad gate-tier tests (legacy diff-based command)
bun run test:release # fresh full gate + periodic censuses
bun run test:periodic # run periodic-tier tests only (weekly cron / manual)
bun run test:gate:sharded # gate tier via the sharded paid runner (one Bun process per test file)
bun run test:periodic:sharded # periodic tier via the sharded paid runner (implies EVALS_ALL=1)
bun run test:e2e # run E2E tests only (diff-based, ~$4.20/run max)
bun run test:e2e:all # run ALL E2E tests regardless of diff
bun run eval:select # show which tests would run based on current diff
bun run dev <cmd> # run CLI in dev mode, e.g. bun run dev goto https://example.com
bun run build # gen docs + compile binaries
bun run gen:skill-docs # regenerate SKILL.md files from templates
bun run skill:check # health dashboard for all skills
bun run dev:skill # watch mode: auto-regen + validate on change
bun run eval:list # list all eval runs from ~/.gstack/projects/<slug>/evals/
bun run eval:compare # compare two eval runs (auto-picks most recent)
bun run eval:summary # aggregate stats across all eval runs
bun run eval:flake-rank # rank tests by flake signal (retried passes first; --json, --dir, --since-days)
bun run slop # full slop-scan report (all files)
bun run slop:diff # slop findings in files changed on this branch only
```
`test:evals` requires `ANTHROPIC_API_KEY`. Codex E2E tests (`test/codex-e2e.test.ts`,
`test/codex-e2e-sol-scope.test.ts`) use Codex's own auth — the hermetic runner copies
only `auth.json` from `${CODEX_HOME:-~/.codex}` and pins `CODEX_HOME` in the child
env — no `OPENAI_API_KEY` env var needed.
**Hermetic E2E + env keys:** every E2E runner spawns children through
`test/helpers/hermetic-env.ts` (allowlist-scrubbed env, fresh seeded
`CLAUDE_CONFIG_DIR`, temp `GSTACK_HOME`, `--strict-mcp-config`); per-test
`env:` overrides merge last onto a COMPLETE hermetic env, so they're safe.
A PTY test that types a `/skill` command must pass `seedSkills: true`.
Debug against real operator state with `EVALS_HERMETIC=0`. Full detail
(env-shim, seeding tripwires, wiring tests):
[docs/TESTING_INTERNALS.md](docs/TESTING_INTERNALS.md).
**Diff-based test selection:** `test:evals` and `test:e2e` auto-select tests based
on `git diff` against the base branch. Each test declares its file dependencies in
`test/helpers/touchfiles.ts`. Changes to global touchfiles (session-runner, eval-store,
touchfiles.ts itself) trigger all tests. Use `EVALS_ALL=1` or the `:all` script
variants to force all tests. Run `eval:select` to preview which tests would run.
**Two-tier system:** Tests are classified as `gate` or `periodic` in `E2E_TIERS`
(in `test/helpers/touchfiles.ts` — a facade over `touchfiles-data.ts` +
`test-selection.ts`). CI runs the changed fast PR profile and selected judges
per PR via evals.yml's sliced lane
(planner manifest → executors → fail-closed report; engine =
scripts/test-paid-shards.ts, the same runner as local eval:bg:pr); the free
suite runs on every PR via `.github/workflows/free-tests.yml` (a REQUIRED
check, secretless — fork PRs get real signal); ALL periodic tests run weekly
via evals-periodic.yml (EVALS_ALL, minus the reasoned exclusions in
`test/helpers/periodic-exclude-data.ts` — reason + tracking required per
entry), plus a weekly EVALS_ALL gate census. Use `EVALS_TIER=gate` or
`EVALS_TIER=periodic` to filter locally. When adding new E2E tests, classify them:
1. Safety guardrail or deterministic functional test? -> `gate`
2. Quality benchmark, Opus model test, or non-deterministic? -> `periodic`
3. Requires external service (Codex, Gemini)? -> `periodic`
Tier declarations are enforced by `test/e2e-tier-alignment.test.ts` (free, runs
in `bun test`): a `skill-e2e-*` file named in a touchfiles dep list whose
`EVALS_TIER` self-gate disagrees with its declared tier in `E2E_TIERS` fails the
suite. Files not named in any dep list are reported, not enforced — keep both
in sync.
## Testing
```bash
bun run test # final full free acceptance after focused repairs and source freeze
bun run eval:bg:pr # required changed PR coverage, with explicit deferrals
```
Follow [Validation discipline in AGENTS.md](AGENTS.md#validation-discipline):
prove repairs with focused checks first, complete required selected evaluations,
then run the full free suite once on the final integrated code. During repairs,
focused checks replace a full-suite run before every commit.
`bun run test` routes through `scripts/test-free-shards.ts` (N concurrent
shard processes, serial within each, packed by recorded per-file durations
when `scripts/free-test-durations.json` exists — refresh occasionally with
`bun run test:free --record-durations`; strict-output classification per
shard: a shard without bun's terminal summary line FAILS — silent truncation
cannot report green). The former trailing serial tree-mutating shard is
gone: `TREE_MUTATING` is empty (gen-skill-docs has a main() guard and
`--out-dir` renders every host, so tests render into mkdtemps — see
docs/TESTING_INTERNALS.md). Never type bare `bun test` for the suite: it
walks the whole repo, loading paid eval files and missing the strict
classifier.
It covers skill validation, gen-skill-docs quality checks, browse
integration tests, the Aside contract pins, and the render-wrapper pins.
`bun run test:pr` runs the selected short live behaviors and quality judges.
It reports deferred broad coverage; unknown dependencies restore the full gate,
and an unmapped prompt without registered coverage blocks planning. Full free
acceptance and required PR checks must pass before publishing. CI can reuse the
14 workflow-judge passes for 24 hours when their complete consumed inputs and
runtime match; records preserve original provenance. The other 11 judge cases,
dynamic agent tests, and local runs without scoped cache configuration stay fresh.
Scheduled/manual full coverage and `test:release` always run fresh.
See [testing policy](CONTRIBUTING.md#test-tiers) for commands and measured targets.
Anything that needs Aside
itself (`test/skill-e2e-aside.test.ts`, the Aside qa/design E2E cases, the
live render in `test/aside-render.test.ts`) runs only on a Mac with the Aside
app open and self-skips elsewhere (`asideAvailable()`). make-pdf's render
gates and `test/skill-e2e-diagram.test.ts` run through whichever engine
resolves (`browserAvailable()` — Aside, or the browse binary CI builds with
`bun run build:gates`) and skip only when neither exists; the fallback
engine's own tests run everywhere.
## Project structure
Full annotated tree: [docs/PROJECT_STRUCTURE.md](docs/PROJECT_STRUCTURE.md).
Quick map: `browse/` gstack's own headless-browser CLI (the fallback
engine) plus the `/browse` skill, `design/` design binary, `make-pdf/` PDF
binary, `hosts/` typed host configs, `scripts/` build+DX tooling
(gen-skill-docs, resolvers — `resolvers/aside.ts` is the Aside contract),
`test/` validation+evals, `lib/` shared libraries (`aside-render.ts` renders
local HTML through Aside, falling back to the engine; `design-catalog.ts` is
the typed design anti-pattern catalog every design skill renders from), `bin/`
CLI utilities (`gstack-render.ts` is the render CLI skills call;
`gstack-design-detect.ts` and `gstack-design-md.ts` are the design detector
and open-DESIGN.md tools), `extension/` Chrome
extension, one directory per skill (`ship/`, `review/`, `qa/`, ...),
`.github/` CI, `contrib/` contributor tools, `docs/designs/` design documents.
## SKILL.md workflow
SKILL.md files are **generated** from `.tmpl` templates. To update docs:
1. Edit the `.tmpl` file (e.g. `SKILL.md.tmpl` or `browse/SKILL.md.tmpl`)
2. Run `bun run gen:skill-docs` (or `bun run build` which does it automatically)
3. Commit both the `.tmpl` and generated `.md` files
The same `gen:skill-docs` run writes two more generated files from `lib/`:
`review/design-checklist.md` (from `lib/design-catalog.ts`, through
`scripts/resolvers/design-checklist.ts`) and `lib/dom-dump.js` (from
`lib/dom-dump-script.ts`). Edit the catalog or the script source, regenerate,
and commit both; never edit the generated file
(`test/design-checklist-sync.test.ts` fails on drift).
Generation uses each host's `defaultModel` (`claude` for existing hosts, `gpt`
for Codex) unless `--model` is explicit. Codex installs additionally read the
top-level model from `${CODEX_HOME:-~/.codex}/config.toml`; rerun
`./setup --host codex` after changing that model. Note: `bun run build` and a
bare `gen:skill-docs --host codex` render the host default (gpt) — if your
Codex config.toml pins a different model, rerun `./setup --host codex`
afterwards to restore your profile (single-owner persistence is filed in
TODOS.md).
Browser steps in skills are `aside repl` scripts per
`scripts/resolvers/aside.ts`, each with its `$B` equivalent for the fallback
engine. To add a new browse command: add it to `browse/src/commands.ts` and
rebuild. To add a snapshot flag: add it to `SNAPSHOT_FLAGS` in
`browse/src/snapshot.ts` and rebuild. Local-HTML rendering in a skill template
is a `bun run ~/.claude/skills/gstack/bin/gstack-render.ts` call; new render
options go into `lib/aside-render.ts` (which handles the fallback), never into
a skill's own bash.
**Token ceiling:** Generated SKILL.md files trip a warning above 160KB (~40K tokens).
This is a "watch for feature bloat" guardrail, not a hard gate. Modern flagship
models have 200K-1M context windows, so 40K is 4-20% of window, and prompt caching
makes the marginal cost of larger skills small. The ceiling exists to catch runaway
preamble/resolver growth, not to force compression on carefully-tuned big skills
(`ship`, `plan-ceo-review`, `office-hours` legitimately pack 25-35K tokens of
behavior). If you blow past 40K, the right fix is usually: (1) look at WHAT grew,
(2) if one resolver added 10K+ in a single PR, question whether it belongs inline
or as a reference doc, (3) only compress carefully-tuned prose as a last resort —
cuts to the coverage audit, review army, or voice directive have real quality cost.
A second, harder ceiling guards the DISCOVERY surface: `test/catalog-budget.test.ts`
caps the aggregate frontmatter `name` + `description` across all skills at 1,150
token-equivalents (260-byte per-skill sub-cap), counted through the shared census
in `test/helpers/skill-census.ts`. This one is enforced, not a warning — every
host loads the full catalog every session, so growth here taxes every
conversation. The failure message carries the re-measure + ratchet protocol.
`bin/gstack-context-bill` shows the full token bill-of-materials for a skills
tree (always-on vs per-invocation, `--diff`, `--budget`; `--exact` opts into the
real tokenizer and POSTs file text to api.anthropic.com with an egress receipt).
The context-budget ratchet (`test/context-budget-ratchet.test.ts`, free, runs
in `bun run test`) pins ABSOLUTE ceilings on two more ledgers: the always-on
FULL-frontmatter aggregate (catalog-budget counts only name+description) and
each skill's per-invocation eager tokens (SKILL.md + forced-read references —
size floors and parity ratios guard these relatively, not absolutely), graded
against `test/fixtures/context-budget.json`. A skill that grows past its
ceiling fails; a new skill fails until it's consciously budgeted. For
legitimate growth or a landed reduction, re-run
`bun test/helpers/capture-context-budget.ts` and commit the refreshed fixture
in the same commit, so ceilings ratchet down and every win is locked.
**Merge conflicts on SKILL.md files:** NEVER resolve conflicts on generated SKILL.md
files by accepting either side. Instead: (1) resolve conflicts on the `.tmpl` templates
and `scripts/gen-skill-docs.ts` (the sources of truth), (2) run `bun run gen:skill-docs`
to regenerate all SKILL.md files, (3) stage the regenerated files. Accepting one side's
generated output silently drops the other side's template changes.
## Platform-agnostic design
Skills must NEVER hardcode framework-specific commands, file patterns, or directory
structures. Instead:
1. **Read CLAUDE.md** for project-specific config (test commands, eval commands, etc.)
2. **If missing, AskUserQuestion** — let the user tell you or let gstack search the repo
3. **Persist the answer to CLAUDE.md** so we never have to ask again
This applies to test commands, eval commands, deploy commands, and any other
project-specific behavior. The project owns its config; gstack reads it.
## Writing SKILL templates
SKILL.md.tmpl files are **prompt templates read by Claude**, not bash scripts.
Each bash code block runs in a separate shell — variables do not persist between blocks.
Rules:
- **Use natural language for logic and state.** Don't use shell variables to pass
state between code blocks. Instead, tell Claude what to remember and reference
it in prose (e.g., "the base branch detected in Step 0").
- **Don't hardcode branch names.** Detect `main`/`master`/etc dynamically via
`gh pr view` or `gh repo view`. Use `{{BASE_BRANCH_DETECT}}` for PR-targeting
skills. Use "the base branch" in prose, `<base>` in code block placeholders.
- **Keep bash blocks self-contained.** Each code block should work independently.
If a block needs context from a previous step, restate it in the prose above.
- **Express conditionals as English.** Instead of nested `if/elif/else` in bash,
write numbered decision steps: "1. If X, do Y. 2. Otherwise, do Z."
## Writing style (V1)
Default output from every tier-≥2 skill follows the Writing Style section in
`scripts/resolvers/preamble.ts`: jargon glossed on first use (curated list in
`scripts/jargon-list.json`, baked at gen-skill-docs time), questions framed in
outcome terms ("what breaks for your users if...") not implementation terms,
short sentences, decisions close with user impact. Power users who want the
tighter V0 prose set `gstack-config set explain_level terse` (binary switch,
no middle mode). See `docs/designs/PLAN_TUNING_V1.md` for the full design
rationale. The review pacing overhaul that originally tried to ride alongside
writing-style was extracted to V1.1 — see `docs/designs/PACING_UPDATES_V0.md`.
## Browser interaction
gstack drives the Aside AI browser (macOS 15+) first and falls back to its own
browser engine when Aside is absent. When you need to interact with a browser
(QA, dogfooding, inspecting a page), use the `/browse` skill: it probes Aside
and, on `READY`, drives it — the user's real browser with their real sessions —
through `aside repl` scripts that follow the contract in
`scripts/resolvers/aside.ts` (`{{ASIDE_SETUP}}`). Every browser skill (`/qa`,
`/qa-only`, `/design-review`, `/canary`, `/benchmark`, `/scrape`) does the same,
and web research in skills runs through Aside's agent (`{{ASIDE_RESEARCH}}`)
before the WebSearch tool. When the probe says `NEEDS_ASIDE` or
`ASIDE_NOT_RUNNING` (Linux, Windows, a closed Aside app), the skill resolves
`$B` per `{{BROWSE_FALLBACK}}` and runs the browse binary instead — `$B <command>`
is a legitimate tool in that context, and cookie import, GStack Browser headed
mode, `/pair-agent`, and browser-skills/`/skillify` belong to it. Local HTML a
skill generated itself (make-pdf, diagram, design previews) renders through
`bin/gstack-render.ts` / `lib/aside-render.ts`, which serve the file on
loopback and print or screenshot it in Aside, or in the engine when Aside is
absent — never point the renderer at a site. NEVER use
`mcp__claude-in-chrome__*` tools — they are slow, unreliable, and not what this
project uses.
**Server / sidebar / extension internals:** before editing `browse/src/server.ts`,
`extension/`, the sidebar PTY, any SSE endpoint, or CDP session code, read
[docs/BROWSER_INTERNALS.md](docs/BROWSER_INTERNALS.md) — sidebar message flow,
WebSocket auth, tunnel dual-listener rules, Unicode sanitization at egress,
SSE/CDP helpers, setup symlink hardening, and the sidebar security stack all
live there, each pinned by a CI tripwire.
**Egress receipts at every off-machine sink** (v1.63.0.0+). Every gstack-initiated
send off the machine MUST write a hash-chained receipt to
`~/.gstack/security/egress.jsonl` BEFORE the send: TypeScript callers use
`writeReceipt` from `lib/egress-receipt.ts`; shell scripts source
`bin/gstack-egress-lib.sh` and use `_receipted_curl` / `_receipted_git`. Failure
polarity is per-class: fail-closed for sensitive sinks (brain-sync, memory-ingest,
gbrain-sync, telemetry, ngrok tunnels, mcp-verify, supabase-provision, and the
Memorable bridge's per-prompt memorable-recall hand-off), fail-open
+ stderr warning for user-facing ones (design OpenAI calls, update-check,
dashboards, git-class ops). The new-sink scanner in
`test/egress-receipt-wiring.test.ts` fails CI on an unreceipted `curl` /
`git push` / `fetch` to a non-loopback host unless the file carries a reasoned
entry in its `SCANNER_EXEMPT` list (user-directed page fetches, reachability
probes, instruction strings, skill prose) — if you add a new off-machine sink,
wire it through the helpers and add it to the enumerated sink list. `aside exec`
(a gstack-composed prompt sent to Aside's agent) is a fail-open user-facing
sink: skills call it through the `_aside_exec` wrapper that
`scripts/resolvers/aside.ts` renders, never bare. Inspect with
`bin/gstack-egress` (`list` | `verify`, exit 3 on tamper | `grants`). Threat
model: forensic observability of ATTEMPTED egress, not an exfiltration control.
## Dev symlink awareness
When developing gstack, `.claude/skills/gstack` may be a symlink back to this
working directory (gitignored). This means skill changes are **live immediately**,
great for rapid iteration, risky during big refactors where half-written skills
could break other Claude Code sessions using gstack concurrently.
**Check once per session:** Run `ls -la .claude/skills/gstack` to see if it's a
symlink or a real copy. If it's a symlink to your working directory, be aware that:
- Template changes + `bun run gen:skill-docs` immediately affect all gstack invocations
- Breaking changes to SKILL.md.tmpl files can break concurrent gstack sessions
- During large refactors, remove the symlink (`rm .claude/skills/gstack`) so the
global install at `~/.claude/skills/gstack/` is used instead
**Prefix setting:** Setup creates real directories (not symlinks) at the top level
with a SKILL.md symlink inside (e.g., `qa/SKILL.md -> gstack/qa/SKILL.md`), plus
links to each skill's runtime assets (sections/, templates, checklists — everything
except SKILL.md, tests, build output, and `.tmpl` sources). Alias skills
(`_gstack-command`, `connect-chrome`) install as rewritten copies, never symlinks.
This ensures Claude discovers them as top-level skills, not nested under `gstack/`.
Names are either short (`qa`) or namespaced (`gstack-qa`), controlled by
`skill_prefix` in `~/.gstack/config.yaml`. Pass `--no-prefix` or `--prefix` to
skip the interactive prompt.
**Ownership gate (#2119):** `setup` writes a `.gstack-owned` marker into every
skill directory it creates, and `setup` (the linker, the alias installer, both
prefix-flip cleanups, and the retired-skill prune) and `bin/gstack-relink` only
delete or link over an entry they can prove is gstack's. Strong proof (a
symlink resolving into gstack, or the marker) allows deleting or refreshing the
whole directory. Weak proof (a
real SKILL.md byte-identical to the source, or carrying gen-skill-docs' two-line
banner) covers only that one file, and a weakly-proven file that differs is
moved to `~/.gstack/backups/skills/<ts>/<skill>/SKILL.md` before gstack links
over it. Anything else is a foreign skill: skipped, and named in setup's final
summary. The rule lives in two copies (`setup` and `bin/gstack-relink`); keep
them in sync until the shared helper filed in TODOS.md lands. The retired-skill
prune (`_prune_stale_generated`) applies the same strong/weak split to renders
of skills that no longer exist, through its own gate
(`_owned_for_windows_refresh`: a real host directory is a candidate only when
its SKILL.md carries the generated banner; the marker and byte identity are not
consulted): it scans the render tree and every host skills dir,
deletes a real render directory, removes a host symlink only when it resolves
into gstack, cleans a bannered real directory through `_cleanup_weak_dir`,
never follows a symlink inside the render tree, and recognizes a skill renamed
through its frontmatter `name:`. Pinned by `test/setup-link-ownership.test.ts`,
`test/setup-cleanup-orphans.test.ts`, `test/setup-prune-stale-generated.test.ts`,
and `test/relink.test.ts`.
**Note:** Vendoring gstack into a project's repo is deprecated. Use global install
+ `./setup --team` instead. See README.md for team mode instructions.
**For plan reviews:** When reviewing plans that modify skill templates or the
gen-skill-docs pipeline, consider whether the changes should be tested in isolation
before going live (especially if the user is actively using gstack in other windows).
**Upgrade migrations:** When a change modifies on-disk state (directory structure,
config format, stale files) in ways that could break existing user installs, add a
migration script to `gstack-upgrade/migrations/`. Read CONTRIBUTING.md's "Upgrade
migrations" section for the format and testing requirements. The upgrade skill runs
these automatically after `./setup` during `/gstack-upgrade`.
## Compiled binaries — never commit browse/dist/, design/dist/, or make-pdf/dist/
The `browse/dist/`, `design/dist/`, and `make-pdf/dist/` directories contain
compiled Bun binaries (`browse`, `find-browse`, `design`, ~62MB each). These are
Mach-O arm64 only — they do NOT work on Linux, Windows, or Intel Macs. The
`./setup` script builds from source for every platform.
These directories are **untracked and gitignored** (`.gitignore:3-6`; the
`browse/dist/` binaries were untracked in `64d5a3e4`, v0.11.16.0; the others were
never tracked). They will NOT appear in `git status`. If a dist binary ever does
show up in `git status`, something force-added it (`git add -f`) — do not commit
it; unstage it and find out how it got there.
When staging files, always use specific filenames (`git add file1 file2`) — never
`git add .` or `git add -A`, which can sweep in build outputs and junk.
## Redaction guard (PII / secrets / legal content)
Shared redaction engine catches credentials, PII, and legal/damaging content
before it reaches an external sink (codex dispatch, GitHub issue/PR body, pushed
commit). It is a **guardrail, not airtight enforcement** — `git push --no-verify`,
direct `gh issue create`, and `GSTACK_REDACT_PREPUSH=skip` all bypass it. It
catches accidents and carelessness, the 99% case. Do not claim it stops a
determined leaker (a CHANGELOG line that does would fail a hostile screenshotter).
- **Engine + taxonomy:** `lib/redact-patterns.ts` (the single source of truth —
3 tiers; HIGH = genuinely-secret credentials that block, MEDIUM = PII/legal/
internal + high-FP credential shapes that confirm via AskUserQuestion, LOW =
FYI) and `lib/redact-engine.ts` (pure `scan()` + `applyRedactions()`).
Calibration matters: a gate that cries wolf gets ignored, so context-variable
shapes (Stripe `pk_live_`, Google `AIza`, JWT, env `*_KEY=`) sit at MEDIUM.
- **CLI:** `bin/gstack-redact` (exit 0 clean / 2 MEDIUM / 3 HIGH; `--json`,
`--auto-redact`, `--repo-visibility`, `--from-file`). `bin/gstack-redact-prepush`
is the opt-in git hook.
- **Skill docs are generated** from `scripts/resolvers/redact-doc.ts`
(`{{REDACT_INVOCATION_BLOCK:<sink>}}`) so /spec,
/cso, /ship, /document-release, /document-generate never drift from the engine.
- **Scan-at-sink:** always scan the EXACT bytes that will be sent — write to a
temp file, scan that file, pass the SAME file to `gh`/`git`. Never scan a string
then re-render (that reopens a scan-vs-send gap).
- **Visibility (no tier promotion):** resolve once per run, order = local config
(`gstack-config get redact_repo_visibility`, ~/.gstack so never committed) → gh
→ glab → unknown(=public-strict). Public repos get STERNER per-finding
confirmation (no batch-acknowledge, no silent-proceed); MEDIUM is never
auto-promoted to HIGH.
- **Tool-attributed fences:** wrap Codex/Greptile/eval output in ` ```codex-review `
/ ` ```greptile ` fences so example credentials those tools quote WARN-degrade
instead of blocking. A live-format credential inside the fence still blocks.
- **Config keys:** `redact_repo_visibility` (public|private|unknown, local-only
override for repos gh/glab can't read), `redact_prepush_hook` (true|false).
There is intentionally NO key to disable HIGH blocking.
- **Audit:** the /spec semantic pass appends a content-free record (categories +
body sha256, no spec text) to `~/.gstack/security/semantic-reviews.jsonl` (0600).
## Commit style
**Always bisect commits.** Every commit should be a single logical change. When
you've made multiple changes (e.g., a rename + a rewrite + new tests), split them
into separate commits before pushing. Each commit should be independently
understandable and revertable.
Examples of good bisection:
- Rename/move separate from behavior changes
- Test infrastructure (touchfiles, helpers) separate from test implementations
- Template changes separate from generated file regeneration
- Mechanical refactors separate from new features
When the user says "bisect commit" or "bisect and push," split staged/unstaged
changes into logical commits and push.
## Slop-scan: AI code quality, not AI code hiding
We use [slop-scan](https://github.com/benvinegar/slop-scan) to catch patterns where
AI-generated code is genuinely worse than what a human would write. We are NOT trying
to pass as human code. We are AI-coded and proud of it. The goal is code quality.
```bash
npx slop-scan scan . # human-readable report
npx slop-scan scan . --json # machine-readable for diffing
```
Config: `slop-scan.config.json` at repo root (currently excludes `**/vendor/**`).
Before fixing any finding, read [docs/SLOP_SCAN.md](docs/SLOP_SCAN.md):
it separates genuine quality fixes (empty catches around file ops →
`safeUnlink()`, process kills → `safeKill()`) from linter gaming we
reject (string-matching error messages, tightening best-effort cleanup).
Utilities live in `lib/error-handling.ts`. Don't chase the score.
## Community PR guardrails
When reviewing or merging community PRs, **always AskUserQuestion** before accepting
any commit that:
1. **Touches ETHOS.md** — this file is Garry's personal builder philosophy. No edits
from external contributors or AI agents, period.
2. **Removes or softens promotional material** — YC references, founder perspective,
and product voice are intentional. PRs that frame these as "unnecessary" or
"too promotional" must be rejected.
3. **Changes Garry's voice** — the tone, humor, directness, and perspective in skill
templates, CHANGELOG, and docs are not generic. PRs that rewrite voice to be
more "neutral" or "professional" must be rejected.
Even if the agent strongly believes a change improves the project, these three
categories require explicit user approval via AskUserQuestion. No exceptions.
No auto-merging. No "I'll just clean this up."
## Checking out PRs from garrytan-agents
When the user says "check out <PR link>" and the PR is from `garrytan-agents/gstack`
(or any other fork that is NOT a collaborator on `garrytan/gstack`), do NOT just
`gh pr checkout`. Fork PRs don't receive base-repo secrets (`ANTHROPIC_API_KEY`,
`OPENAI_API_KEY`, etc.), so the eval/E2E CI jobs fail with empty-env auth errors
regardless of what's set on the base repo.
**Workflow:** push the branch to `garrytan/gstack` (the base repo) and re-target
the PR from there.
Concretely, after `gh pr checkout <N>`:
1. Note the original PR number and head branch name.
2. Push the same branch to the base repo: `git push origin HEAD:<branch-name>`
(origin = `garrytan/gstack`, since the worktree is set up with that remote).
3. Close the fork PR (`gh pr close <N> --comment "moving to base-repo branch for secret access"`).
4. Open a new PR from the base-repo branch: `gh pr create --base main --head <branch-name>`.
5. New PR's workflows will get secrets automatically.
Why not fix it on the fork side? `garrytan-agents` isn't a collaborator on
`garrytan/gstack`. Adding it as a collaborator (option A) or flipping the
repo-wide "send secrets to fork PRs" toggle (option B) would let secrets reach
fork PRs from anyone — broader blast radius than just moving this one branch.
Option C (this section) keeps secret-distribution scope tight.
If the user asks you to skip the move (e.g., "just leave it as a fork PR"),
respect that — eval CI will fail with empty-env auth, but check-freshness,
workflow-lint, and windows-tests will still pass on the fork PR.
## CHANGELOG + VERSION style
**Versioning invariant (workspace-aware ship).** VERSION is a monotonic ordered
release identifier, not a strict semver commitment. The bump level
(major/minor/patch/micro) expresses intent at ship time. Queue-advancing past a
claimed version within the same bump level is explicitly permitted — if branch A
claims v1.7.0.0 as a MINOR and branch B is also a MINOR, B lands at v1.8.0.0
(still a MINOR relative to main). Downstream consumers must NOT rely on
"MINOR = feature-only, PATCH = fix-only" as a strict contract. This is why
`bin/gstack-next-version` advances within the chosen bump level rather than
repicking the level when collisions happen.
**package.json carries the npm-valid translation, not VERSION verbatim.**
VERSION stays the 4-digit source of truth (e.g. `1.67.0.0`); package.json and
any subdirectory manifests with a `version` field get the 3-digit npm-valid
translation (`1.67.0`), and lockfile `version` fields sync only when the
lockfile already exists. `bin/gstack-version-bump` (via `lib/version-source.ts`)
owns the translation and judges drift on translated forms — do NOT "fix" the
apparent mismatch by hand, and do not write a 4-digit version into
package.json (npm rejects it). Rationale and translation rules live in the
`lib/version-source.ts` header; `test/gstack-version-bump.test.ts` pins the
contract.
**Scale-aware bumps — use common sense.** When the diff is big, bump MINOR (or
MAJOR), not PATCH. PATCH is for bug fixes and small additions; MINOR is for
substantial new capability or substantial reduction; MAJOR is for breaking
changes. Rough guideposts (don't treat as rules, treat as smell-checks):
- **PATCH (X.Y.Z+1.0)**: bug fix, doc tweak, small additive change, single
test/file added. Net diff under ~500 lines, no new user-facing capability.
- **MINOR (X.Y+1.0.0)**: new capability shipped (skill, harness, command, big
refactor), substantial code reduction (compression, migration), or coordinated
multi-file change. Net diff over ~2000 lines added/removed, OR a user-visible
feature you'd put in a tweet.
- **MAJOR (X+1.0.0.0)**: breaking change to public surface (CLI flag rename,
skill removed, config format changed), OR a release big enough to be the
headline of a blog post.
If you find yourself debating "is 10K added + 24K removed really a PATCH?" — it
isn't. Bump MINOR. Same for "this adds a whole new test harness with 6 new E2E
tests + helper utilities" — MINOR. The bump level is communication to the user
about what kind of release this is; don't undersell it.
When merging origin/main brings a higher VERSION, re-evaluate the bump level
against the SCALE of your branch's work, not just whether main moved forward.
If main bumped MINOR and your branch is also a substantial change, you bump
MINOR again on top (e.g., main at v1.14.0.0, your branch lands v1.15.0.0).
**VERSION and CHANGELOG are branch-scoped.** Every feature branch that ships gets its
own version bump and CHANGELOG entry. The entry describes what THIS branch adds —
not what was already on main.
**The CHANGELOG entry is the diff between main and the shipping branch — what users
get when they upgrade. NOT how the branch got there.** A reader landing on the entry
should learn what they can do now that they couldn't before; they should not learn
about the branch's internal version bumps, the bugs we caught and fixed mid-branch,
the plan reviews we ran, or the commits we squashed. That is branch development
narrative. It belongs in PR descriptions and commit messages, not CHANGELOG.
**Never reference branch-internal versions in a CHANGELOG entry.** If your branch
bumped VERSION from v1.5.0.0 → v1.5.1.0 → v1.6.0.0 during development and only the
final v1.6.0.0 ships to main, the entry must read as if v1.5.1.0 never existed.
Concretely, NEVER write:
- "v1.5.1.0 had a bug that v1.6.0.0 fixes" — readers don't know about v1.5.1.0; it's
a branch-internal artifact.
- "The shipping headline of v1.5.1.0 was broken because..." — same reason. From main's
perspective, v1.5.1.0 was never released.
- "Pre-fix tests encoded the broken behavior" — that's a contributor's victory lap,
not a user benefit.
- "Two surgical edits, both in the dispatch path" — micro-narrative of the patch.
Instead, describe the released system: "Browser-skills run end-to-end with the
expected tab-access semantics." If a property of the shipped system is worth calling
out (e.g., "skill spawns get permissive tab access; pair-agent tunnel tokens require
ownership"), document it as a property, not as a fix. The shipped system is what
the user gets; the path to that system is invisible to them.
**When to write the CHANGELOG entry:**
- At `/ship` time (Step 13), not during development or mid-branch.
- The entry covers ALL commits on this branch vs the base branch.
- Never fold new work into an existing CHANGELOG entry from a prior version that
already landed on main. If main has v0.10.0.0 and your branch adds features,
bump to v0.10.1.0 with a new entry — don't edit the v0.10.0.0 entry.
**Key questions before writing:**
1. What branch am I on? What did THIS branch change?
2. Is the base branch version already released? (If yes, bump and create new entry.)
3. Does an existing entry on this branch already cover earlier work? (If yes, replace
it with one unified entry for the final version.)
**Merging main does NOT mean adopting main's version.** When you merge origin/main into
a feature branch, main may bring new CHANGELOG entries and a higher VERSION. Your branch
still needs its OWN version bump on top. If main is at v0.13.8.0 and your branch adds
features, bump to v0.13.9.0 with a new entry. Never jam your changes into an entry that
already landed on main. Your entry goes on top because your branch lands next.
**After merging main, always check:**
- Does CHANGELOG have your branch's own entry separate from main's entries?
- Is VERSION higher than main's VERSION?
- Is your entry the topmost entry in CHANGELOG (above main's latest)?
If any answer is no, fix it before continuing.
**After any CHANGELOG edit that moves, adds, or removes entries,** immediately run
`grep "^## \[" CHANGELOG.md` to verify no duplicates and a sensible reverse-chronological
order. Gaps between version numbers are fine. A branch that ships at v1.6.4.0 without
a prior v1.5.2.0 or v1.5.3.0 entry on main is correct — those were branch-internal
version numbers that never landed. Do not back-fill gaps with placeholder entries.
**Never orphan branch-internal versions.** If your branch bumped VERSION several times
during development (v1.5.1.0 → v1.5.2.0 → v1.6.4.0, say) and those earlier entries were
never released to main, the final ship consolidates ALL of them into a single entry at
the final version (v1.6.4.0). Collapse them — delete the old entries and move their
content into the final entry, re-version table columns accordingly. Readers see one
release, not a branch diary. Gaps are fine (v1.6.3.0 → v1.6.4.0 with no v1.5.x
in between on main is correct).
CHANGELOG.md is **for users**, not contributors. Write it like product release notes:
- Lead with what the user can now **do** that they couldn't before. Sell the feature.
- Use plain language, not implementation details. "You can now..." not "Refactored the..."
- **Never mention TODOS.md, internal tracking, eval infrastructure, or contributor-facing
details.** These are invisible to users and meaningless to them.
- Put contributor/internal changes in a separate "For contributors" section at the bottom.
- Every entry should make someone think "oh nice, I want to try that."
- No jargon: say "every question now tells you which project and branch you're in" not
"AskUserQuestion format standardized across skill templates via preamble resolver."
**Only document what shipped between main and this change.** Readers do not care how
we got here. Keep out of the CHANGELOG, always:
- Branch resyncs, merge commits with main, rebase activity.
- Plan approvals, review outcomes (CEO / eng / design / outside-voice / codex findings),
AskUserQuestion decisions, scope negotiations.
- "Work queued," "plan approved," "in-progress," "will ship later" — the CHANGELOG
documents what DID ship, not what MIGHT ship.
- Version-bump housekeeping when no user-facing work actually landed.
If the diff between the base branch version and this version has no user-facing change
(only merges, only CHANGELOG edits, only placeholder work), the honest entry is one
sentence: "Version bump for branch-ahead discipline. No user-facing changes yet." Stop
there. Do not pad. Do not explain the plan that will ship eventually. Do not narrate
the branch's history. When real work lands, the entry will replace this at /ship time.
### Entry format
Every `## [X.Y.Z]` entry starts with a release summary (two-line bold
headline, lead paragraph, numbers table, closing paragraph) followed by an
`### Itemized changes` section. Read
[docs/CHANGELOG_STYLE.md](docs/CHANGELOG_STYLE.md) for the full format spec
and voice rules BEFORE writing an entry. Always credit community
contributions with `Contributed by @username`.
## AI effort compression
When estimating or discussing effort, always show both human-team and CC+gstack time:
| Task type | Human team | CC+gstack | Compression |
|-----------|-----------|-----------|-------------|
| Boilerplate / scaffolding | 2 days | 15 min | ~100x |
| Test writing | 1 day | 15 min | ~50x |
| Feature implementation | 1 week | 30 min | ~30x |
| Bug fix + regression test | 4 hours | 15 min | ~20x |
| Architecture / design | 2 days | 4 hours | ~5x |
| Research / exploration | 1 day | 3 hours | ~3x |
Completeness is cheap. Don't recommend shortcuts when the complete implementation
is achievable. Boil the ocean — the complete thing is the goal; only genuinely
unrelated multi-quarter migrations are separate scope, never an excuse for a
shortcut. See the Completeness Principle in the skill preamble for the full
philosophy.
## Search before building
Before designing any solution that involves concurrency, unfamiliar patterns,
infrastructure, or anything where the runtime/framework might have a built-in:
1. Search for "{runtime} {thing} built-in"
2. Search for "{thing} best practice {current year}"
3. Check official runtime/framework docs
Three layers of knowledge: tried-and-true (Layer 1), new-and-popular (Layer 2),
first-principles (Layer 3). Prize Layer 3 above all. See ETHOS.md for the full
builder philosophy.
## Local plans
Contributors can store long-range vision docs and design documents in `~/.gstack-dev/plans/`.
These are local-only (not checked in). When reviewing TODOS.md, check `plans/` for candidates
that may be ready to promote to TODOs or implement.
## E2E eval failure blame protocol
When an E2E eval fails during `/ship` or any other workflow, **never claim "not
related to our changes" without proving it.** These systems have invisible couplings —
a preamble text change affects agent behavior, a new helper changes timing, a
regenerated SKILL.md shifts prompt context.
**Required before attributing a failure to "pre-existing":**
1. Run the same eval on main (or base branch) and show it fails there too
2. If it passes on main but fails on the branch — it IS your change. Trace the blame.
3. If you can't run on main, say "unverified — may or may not be related" and flag it
as a risk in the PR body
"Pre-existing" without receipts is a lazy claim. Prove it or don't say it.
## Long-running tasks: don't give up
When running evals, E2E tests, or any long-running background task, **poll until
completion**. Use `sleep 180 && echo "ready"` + `TaskOutput` in a loop every 3
minutes. Never switch to blocking mode and give up when the poll times out. Never
say "I'll be notified when it completes" and stop checking — keep the loop going
until the task finishes or the user tells you to stop.
The full E2E suite can take 30-45 minutes. That's 10-15 polling cycles. Do all of
them. Report progress at each check (which tests passed, which are running, any
failures so far). The user wants to see the run complete, not a promise that
you'll check later.
## Running evals as an agent: always detach (SIGTERM-proof)
When **you (an agent/harness)** launch a long eval/benchmark run, run it through
`bin/gstack-detach` — NEVER as a plain backgrounded Bash task. A plain background
task lives in the harness's process group, so a SIGTERM ("polite quit") on a turn
boundary, a stopped Monitor, or an interruption kills the run mid-flight (observed:
`script "test:gate" was terminated by signal SIGTERM` ~40 min into a run). On macOS
the run can also die to idle-sleep. `gstack-detach` fixes both: a fresh session
(escapes the group SIGTERM) wrapped in `caffeinate -i` (blocks idle-sleep).
- Use the `eval:bg*` scripts (`eval:bg`, `eval:bg:all`, `eval:bg:gate`,
`eval:bg:periodic`) — they wrap the eval command in `gstack-detach` with the
machine-wide `gstack-evals` lock (concurrent worktrees serialize instead of
saturating the shared model API), a per-tier watchdog, and a **run-scoped** log
under `~/.gstack-dev/eval-runs/` (no shared-`/tmp` collision). Each prints its
log path. `eval:bg:gate` / `eval:bg:periodic` run their tier through the
sharded paid runner (`scripts/test-paid-shards.ts`, also exposed as
`test:gate:sharded` / `test:periodic:sharded`): one Bun process per test
file, an external wall-clock timeout that kills the shard's process GROUP
(stray `claude`/`codex` grandchildren included), a per-shard
`GSTACK_EVAL_DIR=<evalDir>/shards/<slug>/` honored by the `EvalCollector`
constructor, and an aggregate that separates failed vs timed-out vs
never-started shards — the detach timeouts (28800s gate / 60600s periodic;
floor enforced against the live shard census by
test/eval-detach-timeout-floor.test.ts)
are sized against worst-case shard wall clock. `EVALS_JOBS` sets the shard
process count (default 8); `EVALS_CONCURRENCY` is bun's --max-concurrency
WITHIN a shard (default 2) — they are deliberately separate knobs. `eval:list` / `eval:compare` /
`eval:summary` / `eval:flake-rank` read the shard dirs too. Or call
`gstack-detach [--lock NAME] [--timeout SECS] [--label LBL] --
<cmd>` directly for any long agent job. Export `ANTHROPIC_API_KEY` first (never
pass keys in argv).
- Then **poll the printed logfile** with a death-aware watcher: break on the
guaranteed `### gstack-detach EXIT=<code> ###` sentinel (success AND failure are
both marked, so silence is never mistaken for success). The detached run survives
even if your watcher gets reaped, so re-checking the log always works.
- Why the lock: a shared dev box with several Conductor worktrees will rate-limit
the model API if two eval suites run at once (15-way concurrency each), which
mass-times-out E2E tests. The lock makes the second run WAIT, not collide.
- Humans running `bun run test:evals` foreground in their own terminal don't need
this — Ctrl-C is intended there. Detachment is for agent-launched runs only.
## E2E test fixtures: extract, don't copy
**NEVER copy a full SKILL.md file into an E2E test fixture.** SKILL.md files are
1500-2000 lines. When `claude -p` reads a file that large, context bloat causes
timeouts, flaky turn limits, and tests that take 5-10x longer than necessary.
Instead, extract only the section the test actually needs:
```typescript
// BAD — agent reads 1900 lines, burns tokens on irrelevant sections
fs.copyFileSync(path.join(ROOT, 'ship', 'SKILL.md'), path.join(dir, 'ship-SKILL.md'));
// GOOD — agent reads ~60 lines, finishes in 38s instead of timing out
const full = fs.readFileSync(path.join(ROOT, 'ship', 'SKILL.md'), 'utf-8');
const start = full.indexOf('## Review Readiness Dashboard');
const end = full.indexOf('\n---\n', start);
fs.writeFileSync(path.join(dir, 'ship-SKILL.md'), full.slice(start, end > start ? end : undefined));
```
Also when running targeted E2E tests to debug failures:
- Run in **foreground** (`bun test ...`), not background with `&` and `tee`
- Never `pkill` running eval processes and restart — you lose results and waste money
- One clean run beats three killed-and-restarted runs
## Publishing native OpenClaw skills to ClawHub
Native OpenClaw skills live in `openclaw/skills/gstack-openclaw-*/SKILL.md`.
The command is `clawhub publish` (NOT `clawhub skill publish`) — full
workflow, auth, and verification:
[docs/OPENCLAW_PUBLISHING.md](docs/OPENCLAW_PUBLISHING.md).
## Deploying to the active skill
The active skill lives at `~/.claude/skills/gstack/`. After making changes:
1. Push your branch
2. Fetch and reset in the skill directory: `cd ~/.claude/skills/gstack && git fetch origin && git reset --hard origin/main`
3. Rebuild: `cd ~/.claude/skills/gstack && bun run build`
**If you use gbrain:** the `git reset --hard` in step 2 reverts the brain-aware
(`GBRAIN_CONTEXT_LOAD` / `GBRAIN_SAVE_RESULTS`) blocks that `gstack-config
gbrain-refresh` renders into the install (those generated blocks differ from
`main` by design). After deploying, re-run `gstack-config gbrain-refresh` to
restore them across all your projects' Claude sessions. It's idempotent.
Or copy the binaries directly:
- `cp browse/dist/browse ~/.claude/skills/gstack/browse/dist/browse`
- `cp design/dist/design ~/.claude/skills/gstack/design/dist/design`
- `cp make-pdf/dist/pdf ~/.claude/skills/gstack/make-pdf/dist/pdf`
## Skill routing
When the user's request matches an available skill, invoke it via the Skill tool. When in doubt, invoke the skill.
Key routing rules:
- Product ideas/brainstorming → invoke /office-hours
- Strategy/scope → invoke /plan-ceo-review
- Architecture → invoke /plan-eng-review
- Design system/plan review → invoke /design-consultation or /plan-design-review
- Full review pipeline → invoke /autoplan
- Bugs/errors → invoke /investigate
- QA/testing site behavior → invoke /qa or /qa-only
- Code review/diff check → invoke /review
- Visual polish → invoke /design-review
- Ship/deploy/PR → invoke /ship or /land-and-deploy
- Save progress → invoke /context-save
- Resume context → invoke /context-restore
## Cross-session decision memory
Durable decisions and their rationale are captured in an append-only, event-sourced
store at `~/.gstack/projects/<slug>/decisions.jsonl` so neither you nor the user
re-litigates a settled call or loses the "why" across sessions. This is the reliable,
file-only path: it works with gbrain OFF. (gbrain semantic recall is an optional
enhancement layered on top, never a dependency.)
- **Resurface** active decisions before re-deciding: `bin/gstack-decision-search`
(`--recent N`, `--scope repo|branch|issue`, `--query KW`, `--all`, `--json`).
Add `--semantic` (with `--query`) to append related hits from gbrain memory when
it's up; it degrades silently to the reliable file results when gbrain is off.
Session start already surfaces scope-relevant active decisions via Context Recovery.
If a decision is listed, treat it as settled with its rationale; if you're about to
reverse it, say so explicitly.
- **Capture** a DURABLE decision when you or the user make one:
`bin/gstack-decision-log '{"decision":"...","rationale":"...","scope":"repo|branch|issue","source":"user|skill|agent","confidence":1-10}'`.
Reverse a prior call with `--supersede <id>`; expunge an accidental secret with
`--redact <id>`; rewrite the log to the active set with `--compact`. Non-interactive
(never prompts), injection-sanitized, and HIGH-secret-blocking on write.
- **Durable means:** architecture choice, scope cut, tool/vendor choice, or a reversal
of a prior call. NOT a turn-level edit, a phrasing tweak, or anything trivially
re-derivable. Capture is curated at the source — log durable decisions only, or the
store becomes noise.
## GBrain Search Guidance (configured by /sync-gbrain)
<!-- gstack-gbrain-search-guidance:start -->
GBrain is set up and synced on this machine. The agent should prefer gbrain
over Grep when the question is semantic or when you don't know the exact
identifier yet.
**This worktree is pinned to a worktree-scoped code source** via the
`.gbrain-source` file in the repo root (kubectl-style context). Any
`gbrain code-def`, `code-refs`, `code-callers`, `code-callees`, or `query`
call from anywhere under this worktree routes to that source by default —
no `--source` flag needed. Conductor sibling worktrees of the same repo
each have their own pin and their own indexed pages, so semantic results
match the actual code on disk in this worktree.
Two indexed corpora available via the `gbrain` CLI:
- This worktree's code (auto-pinned via `.gbrain-source`).
- `~/.gstack/` curated memory (registered as `gstack-brain-<user>` source via
the existing federation pipeline).
Prefer gbrain when:
- "Where is X handled?" / semantic intent, no exact string yet:
`gbrain search "<terms>"` or `gbrain query "<question>"`
- "Where is symbol Y defined?" / symbol-based code questions:
`gbrain code-def <symbol>` or `gbrain code-refs <symbol>`
- "What calls Y?" / "What does Y depend on?":
`gbrain code-callers <symbol>` / `gbrain code-callees <symbol>`
- "What did we decide last time?" / past plans, retros, learnings:
`gbrain search "<terms>" --source gstack-brain-<user>`
Grep is still right for known exact strings, regex, multiline patterns, and
file globs. Run `/sync-gbrain` after meaningful code changes; for ongoing
auto-sync across all worktrees, run `gbrain autopilot --install` once per
machine — gbrain's daemon handles incremental refresh on a schedule.
Safety: don't run `/sync-gbrain` while `gbrain autopilot` is active — the
orchestrator refuses destructive source ops when it detects a running autopilot
to avoid racing it (#1734). Prefer registering user repos with `gbrain sources
add --path <dir>` (no `--url`): URL-managed sources can auto-reclone, and the
sync code walk for them requires an explicit `--allow-reclone` opt-in.
<!-- gstack-gbrain-search-guidance:end -->