* feat(gbrain-sync): add cycleCompleted() cycle-state probe Reads `gbrain doctor` cycle_freshness to classify whether a source has completed a full cycle (completed/never/unknown). A fail naming this source -> never; a fail naming only other sources -> completed; an absent or unparseable check -> unknown, so an unrelated doctor failure never masks a real state. Gates the automatic call-graph build on --full. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(gbrain-sync): --dream call-graph stage with lock-free gate + honest outcome guard Adds a source-scoped `gbrain dream --source <id>` stage that builds this worktree's call graph (code-callers/code-callees). Runs lock-free after the sync lock releases so it never blocks sibling worktrees; a .dream-in-progress marker dedupes concurrent dreams. --full auto-runs it only when the cycle was never built; explicit --dream always forces; --no-dream opts out. The stage parses the cycle's own output and reports the truth, not a flat "built": a WARN when the schema pack can't extract code symbols, when the embed phase failed for a missing key, or when 0 edges resolved; OK with the resolved-edge count otherwise. gbrain exits 0 even when it skips on a held cycle lock (e.g. autopilot), so that case reports SKIP, not success. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * chore: ignore gbrain .sources/ local staging dir gbrain writes per-source staging and capability-check artifacts under .sources/ in the repo root. It's machine-local runtime state, not source. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(gbrain): honest call-graph guidance in /sync-gbrain + pin works on gbrain>=0.41.38 sync-gbrain frames the --dream offer honestly: building a call graph requires a code-aware schema pack, and the dream stage reports a WARN when it can't. The verdict's Call graph row mirrors the dream stage's real outcome instead of assuming a completed cycle means edges exist. The ## GBrain Search Guidance block written into CLAUDE.md drops the old code-callers --source caveat: gbrain >=0.41.38.0 honors the .gbrain-source pin for code-callers/code-callees. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(jsonl-store): shared audited JSONL plumbing (injection-reject + atomic append + tolerant read) Single source of truth extracted for D2A: gstack-learnings-* and the upcoming gstack-decision-* bins share one injection-pattern list, one atomic single-line appender, and one tolerant reader. No more drift between stores. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * refactor(learnings-log): use shared hasInjection from lib/jsonl-store (D2A) Replace the inline injection-pattern copy with the shared list. One audited write-path rejection across learnings + the upcoming decision store. Behavior unchanged (35/35 learnings tests green); learnings-search keeps its inline copy because a structural test pins its bash/bun shape. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(decision): event-sourced decision-memory model (lib/gstack-decision) decide/supersede/redact events on lib/jsonl-store; active set is computed (no mutable status), dangling refs tolerated. Free-text is injection-checked and redact-scanned on write (HIGH secret -> reject). Scope filter (repo/branch/issue) for relevant resurfacing. File-only + reliable; gbrain not required. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(decision): bounded active snapshot + compaction (redact expunges, supersede archives) writeSnapshot/readSnapshot/rebuildSnapshot give an O(active) bounded read for the session-start hot path (D1A). compact() rewrites the log to active, archives superseded decisions for history, and EXPUNGES redacted ones (dropped, never archived) so an accidentally-captured secret leaves the store for good. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(decision): gstack-decision-log + gstack-decision-search bins (non-interactive) Two bins mirroring gstack-learnings-* (D3A). log writes decide/--supersede/--redact/ --compact events + refreshes the bounded snapshot + enqueues for cross-machine sync; search reads the O(active) snapshot, scope-filtered to current branch, newest-first, --all to include superseded, --json for machines. Empty store returns silently (no snapshot write on an empty read). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(memory): surface active decisions at session start + capture nudge (Context Recovery) Context Recovery now shows recent scope-relevant active decisions (bounded read of decisions.active.json via gstack-decision-search) and instructs the agent to treat them as settled calls and to log durable decisions/reversals. Closes the Phase-1 capture->curate->resurface loop, reliable + file-only. Regen across all hosts folded in (squash-with-regen); parity 10/10, freshness green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * test: refresh ship golden baselines for the memory-loop preamble change Context Recovery now emits the cross-session-decisions block, so ship's preamble (all hosts) changed. Golden baselines are hand-maintained copies (gen does not write them); refresh them from the fresh gen so golden-file regression passes. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(memory): document the cross-session decision-memory loop in CLAUDE.md Adds a '## Cross-session decision memory' section: how to resurface (gstack-decision-search) and capture (gstack-decision-log) durable decisions, the supersede/redact/compact verbs, and a crisp durable-vs-trivial definition so the store stays signal. Reliable file-only path; gbrain not required. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(memory): emit durable decisions from ship/ceo/eng/spec at structured points Wires the four skills that finalize real decisions to capture them in the cross-session decision store, from their STRUCTURED outputs (never free-text scraping): - ship: the version bump (level + why) at write time - plan-ceo-review: accepted scope + verdict (branch-scoped) - plan-eng-review: the architecture verdict + key call (branch-scoped) - spec: the filed issue's core approach (issue-scoped) All emits are non-interactive, schema-correct (content in decision/rationale, source=skill, confidence 1-10), and best-effort (|| true) so a decision-log failure never blocks the workflow. Includes regen across hosts + refreshed ship golden baselines. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(memory): optional gbrain --semantic recall for decision search Adds gstack-decision-search --semantic (with --query): appends a 'Related from memory' block from gbrain semantic search, scoped to the curated-memory source. Pure enhancement, reliability-first: a new lib/gstack-decision-semantic.ts is the ONLY decision module that touches gbrain and is imported lazily only on --semantic, so the reliable file path never loads gbrain code. Every path degrades to the reliable file results when gbrain is off, unconfigured, empty, or errors (never throws, 10s timeout). Built against the verified gbrain 0.42.x surface (text output [score] slug -- snippet, NOT JSON; curated-memory source resolved by worktree path, not a gstack-brain-<user> id). Deterministic-contract tests only: parser units, degrade-to-null when gbrain absent, and a fake-gbrain shim proving scope+search end-to-end. find-contradictions deferred (no verifiable CLI surface yet + curated memory not indexed). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(gbrain-sync): self-heal stale autopilot lock (dead-pid) detectAutopilot treated a lock FILE as proof of life, so a crashed gbrain daemon left a stale lock that wedged every sync forever (observed: a dead pid refused --full indefinitely). Now read the holder pid (bare or JSON body) and check liveness via signal-0: ESRCH=dead → ignore the stale signal and keep checking; EPERM=alive (other user) → active. A stale lock never masks a live autopilot process. Pure decision function — does not delete the file; the caller may clean it. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(review): drop stray trailing code fence in TODOS-format Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(test): align section-loading E2E testNames with their TOUCHFILES keys Pre-existing on main (v1.56.x): the two section-loading E2E tests used human-label testNames ('/ship section-loading') that don't match their slug keys ('ship-section-loading') in E2E_TOUCHFILES/E2E_TIERS. Every other E2E test uses the slug as its testName, and the TOUCHFILES completeness gate requires testName to be a registered key — so the gate was red. Align both testNames to their slug keys (also fixes tier lookup for these two periodic tests). Verified failing on a clean origin/main checkout before the fix. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: pre-landing review fixes (datamark, DRY, compact, coverage) Addresses the pre-landing review findings (all INFORMATIONAL, no criticals): - security: datamark resurfaced decision text at the render boundary (lib/gstack-decision.ts datamark() — neutralizes code fences, --- banners, <|role|>/</system> markers, control chars, newlines). Applied in gstack-decision-search human output so stored text can't masquerade as instructions in Context Recovery (codex hardening #3 / AC #7). --json stays raw. - DRY: extract resolveSlug/gitBranch/flagValue to lib/bin-context.ts; both decision bins use it instead of duplicating the helpers. - compact(): batch the archive append (one write, not N) and shrink the mid-compact crash window; simplify the opaque branch/issue ternary. - coverage: learnings-log injection rejection (D2A wiring), search --recent/ --scope + NaN-safe --recent, datamark-applied, unparseable lock body, compact-empty, corrupt-snapshot degrade. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(security): close adversarial-review findings in decision memory Adversarial review (Claude subagent) found a CRITICAL the specialist pass missed: - F1 (CRITICAL): 'Human:'/'Assistant:' turn-prefixes bypassed BOTH the write-time denylist AND datamark(), landing verbatim in agent context inside the trusted ACTIVE DECISIONS fence. Add 'human:' (+ 'disregard previous', 'from now on') to the shared denylist, and have datamark() neutralize Human:/Assistant:/System:/User: turn-prefixes (ZWSP) at the render boundary. - F2: datamark() only stripped ASCII C0; extend to Unicode line terminators (U+0085/2028/2029) and U+007F so 'strip newlines' actually holds. - F3: validateDecide blocked only HIGH secrets; MEDIUM-tier PII (e.g. SSN) persisted silently and synced cross-machine. The store is non-interactive (no confirm path), so fail closed on MEDIUM too. - F4: compact() was a lock-free read-modify-rewrite that could clobber a concurrent append (lost decision). Add an O_EXCL compact lock + a pre-rename size recheck that aborts untouched (skipped=true) if an append landed; caller re-runs. - F7: filterByScope unknown/garbage scope fell through to 'return true' (leaked into every context); fail conservative (false). F5 (pid reuse) and F6 (pgrep over-match) are intentionally left as-is: both fail SAFE (over-refuse sync); making them precise would introduce a fail-DANGEROUS path (allowing sync during a real autopilot). True disambiguation needs gbrain to stamp the lock with a start-time, which gstack doesn't own. F8 (compact moves history to archive) is by design. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(security): close cross-model (Codex) adversarial findings Codex adversarial review found a HIGH the Claude pass missed plus 3 mediums: - C1 (HIGH): gstack-decision-search --all returned every decide and IGNORED redact events, so a redacted secret still resurfaced via --all until compact ran. --all now excludes redacted (redact = expunge from every read path), still showing superseded history. - C-med: semantic (external gbrain) slug/snippet were printed raw — datamark them too so a gbrain hit can't spoof role markers / fences into agent context. - C4: semanticRecall fell back to an UNSCOPED gbrain search when no curated-memory source resolved, pulling code/doc corpora mislabeled as 'related decisions'. Now returns null (degrade) when there's no worktree-backed memory source. - C5: validateDecide scanned only decision/rationale/alternatives; branch and issue are stored + surfaced (raw via --json), so include them in the injection+secret scan. C2 (snapshot staleness) / C3 (compact TOCTOU residual): accepted for a single-user store — atomic appends never lose the event, rebuilds self-heal, and the compact size-recheck leaves only a sub-ms window; full append-locking would break the lock-free append design. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v1.57.5.0) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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gstack development
Commands
bun install # install dependencies
bun test # run free tests (browse + snapshot + skill validation)
bun run test:evals # run paid evals: LLM judge + E2E (diff-based, ~$4/run max)
bun run test:evals:all # run ALL paid evals regardless of diff
bun run test:gate # run gate-tier tests only (CI default, blocks merge)
bun run test:periodic # run periodic-tier tests only (weekly cron / manual)
bun run test:e2e # run E2E tests only (diff-based, ~$3.85/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-dev/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 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)
use Codex's own auth from ~/.codex/ config — no OPENAI_API_KEY env var needed.
Env keys in Conductor workspaces. The GSTACK_* env-shim (v1.39.2.0+,
lib/conductor-env-shim.ts) promotes GSTACK_ANTHROPIC_API_KEY /
GSTACK_OPENAI_API_KEY to their canonical names inside gstack's TS binaries.
Tests run through gstack entrypoints inherit this promotion automatically.
Don't echo the key value to stdout, logs, or shell history. When passing to a
test's Agent SDK, do NOT pass env: {...} to runAgentSdkTest — the SDK's
auth pipeline doesn't pick up the key the same way when env is supplied as an
object (confirmed failure mode). Mutate process.env.ANTHROPIC_API_KEY
ambiently before the call and restore in finally.
E2E tests stream progress in real-time (tool-by-tool via --output-format stream-json --verbose). Results are persisted to ~/.gstack-dev/evals/ with auto-comparison
against the previous run.
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). CI runs only gate tests (EVALS_TIER=gate);
periodic tests run weekly via cron or manually. Use EVALS_TIER=gate or
EVALS_TIER=periodic to filter. When adding new E2E tests, classify them:
- Safety guardrail or deterministic functional test? ->
gate - Quality benchmark, Opus model test, or non-deterministic? ->
periodic - Requires external service (Codex, Gemini)? ->
periodic
Testing
bun test # run before every commit — free, <2s
bun run test:evals # run before shipping — paid, diff-based (~$4/run max)
bun test runs skill validation, gen-skill-docs quality checks, and browse
integration tests. bun run test:evals runs LLM-judge quality evals and E2E
tests via claude -p. Both must pass before creating a PR.
Project structure
gstack/
├── browse/ # Headless browser CLI (Playwright)
│ ├── src/ # CLI + server + commands
│ │ ├── commands.ts # Command registry (single source of truth)
│ │ └── snapshot.ts # SNAPSHOT_FLAGS metadata array
│ ├── test/ # Integration tests + fixtures
│ └── dist/ # Compiled binary
├── hosts/ # Typed host configs (one per AI agent)
│ ├── claude.ts # Primary host config
│ ├── codex.ts, factory.ts, kiro.ts # Existing hosts
│ ├── opencode.ts, slate.ts, cursor.ts, openclaw.ts # IDE hosts
│ ├── hermes.ts, gbrain.ts # Agent runtime hosts
│ └── index.ts # Registry: exports all, derives Host type
├── scripts/ # Build + DX tooling
│ ├── gen-skill-docs.ts # Template → SKILL.md generator (config-driven)
│ ├── host-config.ts # HostConfig interface + validator
│ ├── host-config-export.ts # Shell bridge for setup script
│ ├── host-adapters/ # Host-specific adapters (OpenClaw tool mapping)
│ ├── resolvers/ # Template resolver modules (preamble, design, review, gbrain, etc.)
│ ├── skill-check.ts # Health dashboard
│ └── dev-skill.ts # Watch mode
├── test/ # Skill validation + eval tests
│ ├── helpers/ # skill-parser.ts, session-runner.ts, llm-judge.ts, eval-store.ts
│ ├── fixtures/ # Ground truth JSON, planted-bug fixtures, eval baselines
│ ├── skill-validation.test.ts # Tier 1: static validation (free, <1s)
│ ├── gen-skill-docs.test.ts # Tier 1: generator quality (free, <1s)
│ ├── skill-llm-eval.test.ts # Tier 3: LLM-as-judge (~$0.15/run)
│ └── skill-e2e-*.test.ts # Tier 2: E2E via claude -p (~$3.85/run, split by category)
├── qa-only/ # /qa-only skill (report-only QA, no fixes)
├── plan-design-review/ # /plan-design-review skill (report-only design audit)
├── design-review/ # /design-review skill (design audit + fix loop)
├── ship/ # Ship workflow skill
├── review/ # PR review skill
├── plan-ceo-review/ # /plan-ceo-review skill
├── plan-eng-review/ # /plan-eng-review skill
├── autoplan/ # /autoplan skill (auto-review pipeline: CEO → design → eng)
├── benchmark/ # /benchmark skill (performance regression detection)
├── canary/ # /canary skill (post-deploy monitoring loop)
├── codex/ # /codex skill (multi-AI second opinion via OpenAI Codex CLI)
├── land-and-deploy/ # /land-and-deploy skill (merge → deploy → canary verify)
├── office-hours/ # /office-hours skill (YC Office Hours — startup diagnostic + builder brainstorm)
├── investigate/ # /investigate skill (systematic root-cause debugging)
├── spec/ # /spec skill (five-phase spec → GitHub issue, optional agent spawn, /ship auto-closes)
├── retro/ # Retrospective skill (includes /retro global cross-project mode)
├── bin/ # CLI utilities (gstack-repo-mode, gstack-slug, gstack-config, etc.)
├── document-release/ # /document-release skill (post-ship doc updates + Diataxis coverage map)
├── document-generate/ # /document-generate skill (Diataxis doc generator: tutorial/how-to/reference/explanation)
├── cso/ # /cso skill (OWASP Top 10 + STRIDE security audit)
├── design-consultation/ # /design-consultation skill (design system from scratch)
├── design-shotgun/ # /design-shotgun skill (visual design exploration)
├── open-gstack-browser/ # /open-gstack-browser skill (launch GStack Browser)
├── connect-chrome/ # symlink → open-gstack-browser (backwards compat)
├── design/ # Design binary CLI (GPT Image API)
│ ├── src/ # CLI + commands (generate, variants, compare, serve, etc.)
│ ├── test/ # Integration tests
│ └── dist/ # Compiled binary
├── extension/ # Chrome extension (side panel + activity feed + CSS inspector)
├── lib/ # Shared libraries (worktree.ts)
├── docs/designs/ # Design documents
├── setup-deploy/ # /setup-deploy skill (one-time deploy config)
├── .github/ # CI workflows + Docker image
│ ├── workflows/ # evals.yml (E2E on Ubicloud), skill-docs.yml, actionlint.yml
│ └── docker/ # Dockerfile.ci (pre-baked toolchain + Playwright/Chromium)
├── contrib/ # Contributor-only tools (never installed for users)
│ └── add-host/ # /gstack-contrib-add-host skill
├── setup # One-time setup: build binary + symlink skills
├── SKILL.md # Generated from SKILL.md.tmpl (don't edit directly)
├── SKILL.md.tmpl # Template: edit this, run gen:skill-docs
├── ETHOS.md # Builder philosophy (Boil the Ocean, Search Before Building)
└── package.json # Build scripts for browse
SKILL.md workflow
SKILL.md files are generated from .tmpl templates. To update docs:
- Edit the
.tmplfile (e.g.SKILL.md.tmplorbrowse/SKILL.md.tmpl) - Run
bun run gen:skill-docs(orbun run buildwhich does it automatically) - Commit both the
.tmpland generated.mdfiles
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.
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.
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:
- Read CLAUDE.md for project-specific config (test commands, eval commands, etc.)
- If missing, AskUserQuestion — let the user tell you or let gstack search the repo
- 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 viagh pr vieworgh 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/elsein 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
When you need to interact with a browser (QA, dogfooding, cookie setup), use the
/browse skill or run the browse binary directly via $B <command>. NEVER use
mcp__claude-in-chrome__* tools — they are slow, unreliable, and not what this
project uses.
Sidebar architecture: Before modifying sidepanel.js, background.js,
content.js, terminal-agent.ts, or sidebar-related server endpoints,
read docs/designs/SIDEBAR_MESSAGE_FLOW.md. The sidebar has one primary
surface — the Terminal pane (interactive claude PTY) — with
Activity / Refs / Inspector as debug overlays behind the footer's
debug toggle. The chat queue path was ripped once the PTY proved out;
sidebar-agent.ts and the /sidebar-command / /sidebar-chat /
/sidebar-agent/event endpoints are gone. The doc covers the WS auth
flow, dual-token model, and threat-model boundary — silent failures
here usually trace to not understanding the cross-component flow.
Embedder terminal-agent ownership (v1.42.1.0+, identity-based kill v1.44.0.0+).
buildFetchHandler in browse/src/server.ts accepts ServerConfig.ownsTerminalAgent?: boolean (default true). When true, factory shutdown runs the full teardown:
identity-based kill via killAgentByRecord(readAgentRecord(stateDir)) from
browse/src/terminal-agent-control.ts plus safeUnlinkQuiet on
<stateDir>/terminal-port, <stateDir>/terminal-internal-token, and
<stateDir>/terminal-agent-pid (the per-boot agent record introduced in v1.44).
Embedders (e.g. the gbrowser phoenix overlay) that pre-launch their own PTY
server must pass false so their discovery files survive gstack teardown cycles.
The flag is the third caller-owned teardown gate in ServerConfig (alongside
xvfb? and proxyBridge?); polarity is inverted (explicit bool vs presence) and
documented in the field's JSDoc. CLI start() always passes true explicitly —
the static-grep test in browse/test/server-embedder-terminal-port.test.ts fails
CI if a refactor drops it. Pre-v1.44 used pkill -f terminal-agent\.ts (regex
match) which would kill sibling gstack sessions on the same host; the new
browse/test/terminal-agent-pid-identity.test.ts static-grep tripwire fails CI
if any source file re-introduces pkill ... terminal-agent or spawnSync('pkill', ...).
WebSocket auth uses Sec-WebSocket-Protocol, not cookies. Browsers
can't set Authorization on a WebSocket upgrade, but they CAN set
Sec-WebSocket-Protocol via new WebSocket(url, [token]). The agent
reads it, validates against validTokens, and MUST echo the protocol
back in the upgrade response — without the echo, Chromium closes the
connection immediately. Set-Cookie: gstack_pty=... is kept as a
fallback for non-browser callers (the cross-port SameSite=Strict
cookie path doesn't survive from a chrome-extension origin).
Cross-pane PTY injection. The toolbar's Cleanup button and the
Inspector's "Send to Code" action both pipe text into the live claude
PTY via window.gstackInjectToTerminal(text), exposed by
sidepanel-terminal.js. No /sidebar-command POST — the live REPL is
the only execution surface in the sidebar now.
/health MUST NOT surface any shell-grant token. It already leaks
AUTH_TOKEN to localhost callers in headed mode (a v1.1+ TODO). Don't
make that worse by adding the PTY session token there. PTY auth flows
through POST /pty-session only.
Transport-layer security (v1.6.0.0+). When pair-agent starts an ngrok tunnel,
the daemon binds two HTTP listeners: a local listener (127.0.0.1, full command
surface, never forwarded) and a tunnel listener (locked allowlist: /connect,
/command with a scoped token + 26-command browser-driving allowlist,
/sidebar-chat). ngrok forwards only the tunnel port. Root tokens over the tunnel
return 403. SSE endpoints use a 30-minute HttpOnly gstack_sse cookie minted via
POST /sse-session (never valid against /command). Tunnel-surface rejections go
to ~/.gstack/security/attempts.jsonl via tunnel-denial-log.ts. Before editing
server.ts, sse-session-cookie.ts, or tunnel-denial-log.ts, read
ARCHITECTURE.md —
the module boundary (no imports from token-registry.ts into sse-session-cookie.ts)
is load-bearing for scope isolation.
Unicode sanitization at server egress (v1.38.0.0+). Every server egress that
ships page-content-derived strings MUST go through JSON.stringify(payload, sanitizeReplacer) for object payloads or sanitizeLoneSurrogates(body) for text
bodies. Lone UTF-16 surrogate halves from CDP page content otherwise reach the
Anthropic API as \uD800-style escapes and trigger a 400. Wired at four egress
points today: handleCommandInternal (HTTP + batch via a sanitizing wrapper around
handleCommandInternalImpl) and both SSE producers (/activity/stream,
/inspector/events). Post-stringify regex is a no-op — JSON.stringify has
already escaped the surrogate before regex could match, so the replacer must run
inside the encoding pipeline. Before adding a new SSE/WebSocket writer or HTTP
response in server.ts, read
ARCHITECTURE.md.
browse/test/server-sanitize-surrogates.test.ts pins the wiring with invariant
tests, so bypasses fail CI.
SSE endpoint helper (v1.51.0.0+). New SSE endpoints in server.ts MUST route
through createSseEndpoint(req, config) from browse/src/sse-helpers.ts. The
helper owns the cleanup contract (abort + enqueue-throw + heartbeat-throw, all
idempotent) and bakes in sanitizeLoneSurrogates on every JSON.stringify, so
new subscribers can't accidentally regress either invariant. Inline
ReadableStream wiring leaked subscribers when the TCP connection died without
firing req.signal.abort (Chromium MV3 service-worker suspend, intermediate
proxy half-close). /activity/stream, /inspector/events, and /memory
(SSE-eligible) all route through it. browse/test/sse-helpers.test.ts pins the
cleanup contract.
CDP session lifecycle (v1.51.0.0+). Direct page.context().newCDPSession(page)
calls outside browse/src/cdp-bridge.ts fail CI via the static-grep tripwire in
browse/test/cdp-session-cleanup.test.ts. Use withCdpSession(page, async (s) => {...})
for one-shot CDP work (try/finally detach) or getOrCreateCdpSession(page, cache)
for cached sessions tied to a page's lifetime (close-detach via Map<page, session>).
Three sites migrated: cdp-bridge frame events, write-commands archive capture,
cdp-inspector. The helpers prevent the per-session leak class where successful-path
detach happened but error-path detach was missed.
Setup symlink hardening (v1.38.0.0+). Every link site in setup MUST route
through the _link_or_copy SRC DST helper near the IS_WINDOWS detection. On
Windows without Developer Mode, plain ln -snf produces frozen file copies that
don't refresh on git pull — silent staleness across every host adapter. The
helper preserves ln -snf on Unix and switches to cp -R / cp -f on Windows.
test/setup-windows-fallback.test.ts enforces a static invariant: a single raw
ln call outside the helper body fails CI. Windows users get a one-line note
from _print_windows_copy_note_once reminding them to re-run ./setup after
every git pull.
Sidebar security stack (layered defense against prompt injection):
| Layer | Module | Lives in |
|---|---|---|
| L1-L3 | content-security.ts |
both server and agent — datamarking, hidden element strip, ARIA regex, URL blocklist, envelope wrapping |
| L4 | security-classifier.ts (TestSavantAI ONNX) |
sidebar-agent only |
| L4b | security-classifier.ts (Claude Haiku transcript) |
sidebar-agent only |
| L5 | security.ts (canary) |
both — inject in compiled, check in agent |
| L6 | security.ts (combineVerdict ensemble) |
both |
Critical constraint: security-classifier.ts CANNOT be imported from the
compiled browse binary. @huggingface/transformers v4 requires onnxruntime-node
which fails to dlopen from Bun compile's temp extract dir. Only security.ts
(pure-string operations — canary, verdict combiner, attack log, status) is safe
for server.ts. See ~/.gstack/projects/garrytan-gstack/ceo-plans/2026-04-19-prompt-injection-guard.md
§"Pre-Impl Gate 1 Outcome" for full architectural decision.
Thresholds (in security.ts):
BLOCK: 0.85— single-layer score that would cause BLOCK if cross-confirmedWARN: 0.75— cross-confirm threshold. When L4 AND L4b both >= 0.75 → BLOCKLOG_ONLY: 0.40— gates transcript classifier (skip Haiku when all layers < 0.40)SOLO_CONTENT_BLOCK: 0.92— single-layer threshold for label-less content classifiers (testsavant, deberta). Intentionally higher thanBLOCKbecause these layers can't distinguish "this is an injection" from "this looks like phishing aimed at the user." The transcript classifier keeps a separate, label-gated solo path atBLOCK(0.85).
Ensemble rule: BLOCK only when the ML content classifier AND the transcript classifier both report >= WARN. Single-layer high confidence degrades to WARN — this is the Stack Overflow instruction-writing FP mitigation. Canary leak always BLOCKs (deterministic).
Env knobs:
GSTACK_SECURITY_OFF=1— emergency kill switch. Classifier stays off even if warmed. Canary is still injected; just the ML scan is skipped.GSTACK_SECURITY_ENSEMBLE=deberta— opt-in DeBERTa-v3 ensemble. Adds ProtectAI DeBERTa-v3-base-injection-onnx as L4c classifier for cross-model agreement. 721MB first-run download. With ensemble enabled, BLOCK requires 2-of-3 ML classifiers agreeing at >= WARN (testsavant, deberta, transcript). Without ensemble (default), BLOCK requires testsavant + transcript at >= WARN.- Classifier model cache:
~/.gstack/models/testsavant-small/(112MB, first run only) plus~/.gstack/models/deberta-v3-injection/(721MB, only when ensemble enabled) - Attack log:
~/.gstack/security/attempts.jsonl(salted sha256 + domain only, rotates at 10MB, 5 generations) - Per-device salt:
~/.gstack/security/device-salt(0600) - Session state:
~/.gstack/security/session-state.json(cross-process, atomic)
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-docsimmediately 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). 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.
Note: Vendoring gstack into a project's repo is deprecated. Use global install
./setup --teaminstead. 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/ or design/dist/
The browse/dist/ and design/dist/ directories contain compiled Bun binaries
(browse, find-browse, design, ~58MB each). These are Mach-O arm64 only — they
do NOT work on Linux, Windows, or Intel Macs. The ./setup script already builds
from source for every platform, so the checked-in binaries are redundant. They are
tracked by git due to a historical mistake and should eventually be removed with
git rm --cached.
NEVER stage or commit these files. They show up as modified in git status
because they're tracked despite .gitignore — ignore them. When staging files,
always use specific filenames (git add file1 file2) — never git add . or
git add -A, which will accidentally include the binaries.
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) andlib/redact-engine.ts(purescan()+applyRedactions()). Calibration matters: a gate that cries wolf gets ignored, so context-variable shapes (Stripepk_live_, GoogleAIza, 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-prepushis the opt-in git hook. - Skill docs are generated from
scripts/resolvers/redact-doc.ts({{REDACT_TAXONOMY_TABLE}},{{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/```greptilefences 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 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.
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/**).
What to fix (genuine quality improvements)
- Empty catches around file ops — use
safeUnlink()(ignores ENOENT, rethrows EPERM/EIO). A swallowed EPERM in cleanup means silent data loss. - Empty catches around process kills — use
safeKill()(ignores ESRCH, rethrows EPERM). A swallowed EPERM means you think you killed something you didn't. - Redundant
return await— remove when there's no enclosing try block. Saves a microtask, signals intent. - Typed exception catches —
catch (err) { if (!(err instanceof TypeError)) throw err }is genuinely better thancatch {}when the try block does URL parsing or DOM work. You know what error you expect, so say so.
What NOT to fix (linter gaming, not quality)
- String-matching on error messages —
err.message.includes('closed')is brittle. Playwright/Chrome can change wording anytime. If a fire-and-forget operation can fail for ANY reason and you don't care,catch {}is the correct pattern. - Adding comments to exempt pass-through wrappers — "alias for active session" above a method just to trip slop-scan's exemption rule is noise, not documentation.
- Converting extension catch-and-log to selective rethrow — Chrome extensions crash entirely on uncaught errors. If the catch logs and continues, that IS the right pattern for extension code. Don't make it throw.
- Tightening best-effort cleanup paths — shutdown, emergency cleanup, and disconnect
code should use
safeUnlinkQuiet()(swallows ALL errors). A cleanup path that throws on EPERM means the rest of cleanup doesn't run. That's worse.
Utilities in browse/src/error-handling.ts
| Function | Use when | Behavior |
|---|---|---|
safeUnlink(path) |
Normal file deletion | Ignores ENOENT, rethrows others |
safeUnlinkQuiet(path) |
Shutdown/emergency cleanup | Swallows all errors |
safeKill(pid, signal) |
Sending signals | Ignores ESRCH, rethrows others |
isProcessAlive(pid) |
Boolean process checks | Returns true/false, never throws |
Score tracking
Baseline (2026-04-09, before cleanup): 100 findings, 432.8 score, 2.38 score/file. After cleanup: 90 findings, 358.1 score, 1.96 score/file.
Don't chase the number. Fix patterns that represent actual code quality problems. Accept findings where the "sloppy" pattern is the correct engineering choice.
Community PR guardrails
When reviewing or merging community PRs, always AskUserQuestion before accepting any commit that:
- Touches ETHOS.md — this file is Garry's personal builder philosophy. No edits from external contributors or AI agents, period.
- 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.
- 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 " 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>:
- Note the original PR number and head branch name.
- 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). - Close the fork PR (
gh pr close <N> --comment "moving to base-repo branch for secret access"). - Open a new PR from the base-repo branch:
gh pr create --base main --head <branch-name>. - 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.
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
/shiptime (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:
- What branch am I on? What did THIS branch change?
- Is the base branch version already released? (If yes, bump and create new entry.)
- 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.
Release-summary format (every ## [X.Y.Z] entry)
Every version entry in CHANGELOG.md MUST start with a release-summary section in
the GStack/Garry voice, one viewport's worth of prose + tables that lands like a
verdict, not marketing. The itemized changelog (subsections, bullets, files) goes
BELOW that summary, separated by a ### Itemized changes header.
The release-summary section gets read by humans, by the auto-update agent, and by anyone deciding whether to upgrade. The itemized list is for agents that need to know exactly what changed.
Structure for the top of every ## [X.Y.Z] entry:
- Two-line bold headline (10-14 words total). Should land like a verdict, not marketing. Sound like someone who shipped today and cares whether it works.
- Lead paragraph (3-5 sentences). What shipped, what changed for the user. Specific, concrete, no AI vocabulary, no em dashes, no hype.
- A "The X numbers that matter" section with:
- One short setup paragraph naming the source of the numbers (real production deployment OR a reproducible benchmark, name the file/command to run).
- A table of 3-6 key metrics with BEFORE / AFTER / Δ columns.
- A second optional table for per-category breakdown if relevant.
- 1-2 sentences interpreting the most striking number in concrete user terms.
- A "What this means for [audience]" closing paragraph (2-4 sentences) tying the metrics to a real workflow shift. End with what to do.
Voice rules for the release summary:
- No em dashes (use commas, periods, "...").
- No AI vocabulary (delve, robust, comprehensive, nuanced, fundamental, etc.) or banned phrases ("here's the kicker", "the bottom line", etc.).
- Real numbers, real file names, real commands. Not "fast" but "~30s on 30K pages."
- Short paragraphs, mix one-sentence punches with 2-3 sentence runs.
- Connect to user outcomes: "the agent does ~3x less reading" beats "improved precision."
- Be direct about quality. "Well-designed" or "this is a mess." No dancing.
Source material:
- CHANGELOG previous entry for prior context.
- Benchmark files or
/retrooutput for headline numbers. - Recent commits (
git log <prev-version>..HEAD --oneline) for what shipped. - Don't make up numbers. If a metric isn't in a benchmark or production data, don't include it. Say "no measurement yet" if asked.
Target length: ~250-350 words for the summary. Should render as one viewport.
Itemized changes (below the release summary)
Write ### Itemized changes and continue with the detailed subsections (Added,
Changed, Fixed, For contributors). Same rules as the user-facing voice guidance
above, plus:
- Always credit community contributions. When an entry includes work from a
community PR, name the contributor with
Contributed by @username. Contributors did real work. Thank them publicly every time, no exceptions.
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:
- Search for "{runtime} {thing} built-in"
- Search for "{thing} best practice {current year}"
- 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":
- Run the same eval on main (or base branch) and show it fails there too
- If it passes on main but fails on the branch — it IS your change. Trace the blame.
- 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.
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:
// 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&andtee - Never
pkillrunning 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. These are
hand-crafted methodology skills (not generated by the pipeline) published to ClawHub
so any OpenClaw user can install them.
Publishing: The command is clawhub publish (NOT clawhub skill publish):
clawhub publish openclaw/skills/gstack-openclaw-office-hours \
--slug gstack-openclaw-office-hours --name "gstack Office Hours" \
--version 1.0.0 --changelog "description of changes"
Repeat for each skill: gstack-openclaw-ceo-review, gstack-openclaw-investigate,
gstack-openclaw-retro. Bump --version on each update.
Auth: clawhub login (opens browser for GitHub auth). clawhub whoami to verify.
Updating: Same clawhub publish command with a higher --version and --changelog.
Verification: clawhub search gstack to confirm they're live.
Deploying to the active skill
The active skill lives at ~/.claude/skills/gstack/. After making changes:
- Push your branch
- Fetch and reset in the skill directory:
cd ~/.claude/skills/gstack && git fetch origin && git reset --hard origin/main - Rebuild:
cd ~/.claude/skills/gstack && bun run build
Or copy the binaries directly:
cp browse/dist/browse ~/.claude/skills/gstack/browse/dist/browsecp design/dist/design ~/.claude/skills/gstack/design/dist/design
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)
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 asgstack-brain-<user>source via the existing federation pipeline).
Prefer gbrain when:
- "Where is X handled?" / semantic intent, no exact string yet:
gbrain search "<terms>"orgbrain query "<question>" - "Where is symbol Y defined?" / symbol-based code questions:
gbrain code-def <symbol>orgbrain 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.