gstack/CLAUDE.md

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.

Where the keys live on this machine. Conductor workspaces don't inherit the user's interactive shell env, so ANTHROPIC_API_KEY and OPENAI_API_KEY aren't in the default process env. Before running any paid eval / E2E, source them from ~/.zshrc (that's where Garry keeps them):

bash -c '
  eval "$(grep -E "^export (ANTHROPIC_API_KEY|OPENAI_API_KEY)=" ~/.zshrc)"
  export ANTHROPIC_API_KEY OPENAI_API_KEY
  EVALS=1 EVALS_TIER=periodic bun test test/skill-e2e-<whatever>.test.ts
'

Do not echo the key value anywhere (stdout, logs, shell history). The grep+eval pattern keeps it in process env only. 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). Instead, 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:

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

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)
├── 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 Lake, Search Before Building)
└── package.json     # Build scripts for browse

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

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:

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

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.

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.

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-confirmed
• WARN: 0.75 — cross-confirm threshold. When L4 AND L4b both >= 0.75 → BLOCK
• LOG_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 than BLOCK because 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 at BLOCK (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-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). 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 --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/ 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.

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 than catch {} 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:

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 " 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.

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.

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:

1. 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.
2. Lead paragraph (3-5 sentences). What shipped, what changed for the user. Specific, concrete, no AI vocabulary, no em dashes, no hype.
3. 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.
4. 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 /retro output 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 a "lake" (achievable) not an "ocean" (multi-quarter migration). 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.

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 & 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. 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:

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

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

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

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 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.