Files
gstack/setup-browser-cookies/SKILL.md
T
Garry Tan 0a803f9e81 feat: gstack v1 — simpler prompts + real LOC receipts (v1.0.0.0) (#1039)
* docs: add design doc for /plan-tune v1 (observational substrate)

Canonical record of the /plan-tune v1 design: typed question registry,
per-question explicit preferences, inline tune: feedback with user-origin
gate, dual-track profile (declared + inferred separately), and plain-English
inspection skill. Captures every decision with pros/cons, what's deferred to
v2 with explicit acceptance criteria, and what was rejected entirely.

Codex review drove a substantial scope rollback from the initial CEO
EXPANSION plan. 15+ legitimate findings (substrate claim was false without
a typed registry; E4/E6/clamp logical contradiction; profile poisoning
attack surface; LANDED preamble side effect; implementation order) shaped
the final shape.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: typed question registry for /plan-tune v1 foundation

scripts/question-registry.ts declares 53 recurring AskUserQuestion categories
across 15 skills (ship, review, office-hours, plan-ceo-review, plan-eng-review,
plan-design-review, plan-devex-review, qa, investigate, land-and-deploy, cso,
gstack-upgrade, preamble, plan-tune, autoplan).

Each entry has: stable kebab-case id, skill owner, category (approval |
clarification | routing | cherry-pick | feedback-loop), door_type (one-way
| two-way), optional stable option keys, optional psychographic signal_key,
and a one-line description.

12 of 53 are one-way doors (destructive ops, architecture/data forks,
security/compliance). These are ALWAYS asked regardless of user preference.

Helpers: getQuestion(id), getOneWayDoorIds(), getAllRegisteredIds(),
getRegistryStats(). No binary or resolver wiring yet — this is the schema
substrate the rest of /plan-tune builds on.

Ad-hoc question_ids (not registered) still log but skip psychographic
signal attribution. Future /plan-tune skill surfaces frequently-firing
ad-hoc ids as candidates for registry promotion.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test: registry schema + safety + coverage tests (gate tier)

20 tests validating the question registry:

Schema (7 tests):
- Every entry has required fields
- All ids are kebab-case and start with their skill name
- No duplicate ids
- Categories are from the allowed set
- door_type is one-way | two-way
- Options arrays are well-formed
- Descriptions are short and single-line

Helpers (5 tests):
- getQuestion returns entry for known id, undefined for unknown
- getOneWayDoorIds includes destructive questions, excludes two-way
- getAllRegisteredIds count matches QUESTIONS keys
- getRegistryStats totals are internally consistent

One-way door safety (2 tests):
- Every critical question (test failure, SQL safety, LLM trust boundary,
  security scan, merge confirm, rollback, fix apply, premise revise,
  arch finding, privacy gate, user challenge) is declared one-way
- At least 10 one-way doors exist (catches regression if declarations
  are accidentally dropped)

Registry breadth (3 tests):
- 11 high-volume skills each have >= 1 registered question
- Preamble one-time prompts are registered
- /plan-tune's own questions are registered

Signal map references (1 test):
- signal_key values are typed kebab-case strings

Template coverage (2 tests, informational):
- AskUserQuestion usage across templates is non-trivial (>20)
- Registry spans >= 10 skills

20 pass, 0 fail.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: one-way door classifier (belt-and-suspenders safety fallback)

scripts/one-way-doors.ts — secondary keyword-pattern classifier that catches
destructive questions even when the registry doesn't have an entry for them.

The registry's door_type field (from scripts/question-registry.ts) is the
PRIMARY safety gate. This classifier is the fallback for ad-hoc question_ids
that agents generate at runtime.

Classification priority:
  1. Registry lookup by question_id → use declared door_type
  2. Skill:category fallback (cso:approval, land-and-deploy:approval)
  3. Keyword pattern match against question_summary
  4. Default: treat as two-way (safer to log the miss than auto-decide unsafely)

Covers 21 destructive patterns across:
  - File system (rm -rf, delete, wipe, purge, truncate)
  - Database (drop table/database/schema, delete from)
  - Git/VCS (force-push, reset --hard, checkout --, branch -D)
  - Deploy/infra (kubectl delete, terraform destroy, rollback)
  - Credentials (revoke/reset/rotate API key|token|secret|password)
  - Architecture (breaking change, schema migration, data model change)

7 new tests in test/plan-tune.test.ts covering: registry-first lookup,
unknown-id fallthrough, keyword matching on destructive phrasings including
embedded filler words ("rotate the API key"), skill-category fallback,
benign questions defaulting to two-way, pattern-list non-empty.

27 pass, 0 fail. 1270 expect() calls.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: psychographic signal map + builder archetypes

scripts/psychographic-signals.ts — hand-crafted {signal_key, user_choice} →
{dimension, delta} map. Version 0.1.0. Conservative deltas (±0.03 to ±0.06
per event). Covers 9 signal keys: scope-appetite, architecture-care,
code-quality-care, test-discipline, detail-preference, design-care,
devex-care, distribution-care, session-mode.

Helpers: applySignal() mutates running totals, newDimensionTotals() creates
empty starting state, normalizeToDimensionValue() sigmoid-clamps accumulated
delta to [0,1] (0 → 0.5 neutral), validateRegistrySignalKeys() checks that
every signal_key in the registry has a SIGNAL_MAP entry.

In v1 the signal map is used ONLY to compute inferred dimension values for
/plan-tune inspection output. No skill behavior adapts to these signals
until v2.

scripts/archetypes.ts — 8 named archetypes + Polymath fallback:
- Cathedral Builder (boil-the-ocean + architecture-first)
- Ship-It Pragmatist (small scope + fast)
- Deep Craft (detail-verbose + principled)
- Taste Maker (intuitive, overrides recommendations)
- Solo Operator (high-autonomy, delegates)
- Consultant (hands-on, consulted on everything)
- Wedge Hunter (narrow scope aggressively)
- Builder-Coach (balanced steering)
- Polymath (fallback when no archetype matches)

matchArchetype() uses L2 distance scaled by tightness, with a 0.55 threshold
below which we return Polymath. v1 ships the model stable; v2 narrative/vibe
commands wire it into user-facing output.

14 new tests: signal map consistency vs registry, applySignal behavior for
known/unknown keys, normalization bounds, archetype schema validity, name
uniqueness, matchArchetype correctness for each reference profile, Polymath
fallback for outliers.

41 pass, 0 fail total in test/plan-tune.test.ts.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: bin/gstack-question-log — append validated AskUserQuestion events

Append-only JSONL log at ~/.gstack/projects/{SLUG}/question-log.jsonl.
Schema: {skill, question_id, question_summary, category?, door_type?,
options_count?, user_choice, recommended?, followed_recommendation?,
session_id?, ts}

Validates:
- skill is kebab-case
- question_id is kebab-case, <= 64 chars
- question_summary non-empty, <= 200 chars, newlines flattened
- category is one of approval/clarification/routing/cherry-pick/feedback-loop
- door_type is one-way or two-way
- options_count is integer in [1, 26]
- user_choice non-empty string, <= 64 chars

Injection defense on question_summary rejects the same patterns as
gstack-learnings-log (ignore previous instructions, system:, override:,
do not report, etc).

followed_recommendation is auto-computed when both user_choice and
recommended are present.

ts auto-injected as ISO 8601 if missing.

21 tests covering: valid payloads, full field preservation, auto-followed
computation, appending, long-summary truncation, newline flattening,
invalid JSON, missing fields, bad case, oversized ids, invalid enum
values, out-of-range options_count, and 6 injection attack patterns.

21 pass, 0 fail, 43 expect() calls.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: bin/gstack-developer-profile — unified profile with migration

bin/gstack-developer-profile supersedes bin/gstack-builder-profile. The old
binary becomes a one-line legacy shim delegating to --read for /office-hours
backward compat.

Subcommands:
  --read              legacy KEY:VALUE output (tier, session_count, etc)
  --migrate           folds ~/.gstack/builder-profile.jsonl into
                      ~/.gstack/developer-profile.json. Atomic (temp + rename),
                      idempotent (no-op when target exists or source absent),
                      archives source as .migrated-YYYY-MM-DD-HHMMSS
  --derive            recomputes inferred dimensions from question-log.jsonl
                      using the signal map in scripts/psychographic-signals.ts
  --profile           full profile JSON
  --gap               declared vs inferred diff JSON
  --trace <dim>       event-level trace of what contributed to a dimension
  --check-mismatch    flags dimensions where declared and inferred disagree by
                      > 0.3 (requires >= 10 events first)
  --vibe              archetype name + description from scripts/archetypes.ts
  --narrative         (v2 stub)

Auto-migration on first read: if legacy file exists and new file doesn't,
migrate before reading. Creates a neutral (all-0.5) stub if nothing exists.

Unified schema (see docs/designs/PLAN_TUNING_V0.md §Architecture):
  {identity, declared, inferred: {values, sample_size, diversity},
   gap, overrides, sessions, signals_accumulated, schema_version}

25 new tests across subcommand behaviors:
- --read defaults + stub creation
- --migrate: 3 sessions preserved with signal tallies, idempotency, archival
- Tier calculation: welcome_back / regular / inner_circle boundaries
- --derive: neutral-when-empty, upward nudge on 'expand', downward on 'reduce',
  recomputable (same input → same output), ad-hoc unregistered ids ignored
- --trace: contributing events, empty for untouched dims, error without arg
- --gap: empty when no declared, correctly computed otherwise
- --vibe: returns archetype name + description
- --check-mismatch: threshold behavior, 10+ sample requirement
- Unknown subcommand errors

25 pass, 0 fail, 60 expect() calls.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: bin/gstack-question-preference — explicit preferences + user-origin gate

Subcommands:
  --check <id>   → ASK_NORMALLY | AUTO_DECIDE  (decides if a registered
                   question should be auto-decided by the agent)
  --write '{…}'  → set a preference (requires user-origin source)
  --read         → dump preferences JSON
  --clear [id]   → clear one or all
  --stats        → short counts summary

Preference values: always-ask | never-ask | ask-only-for-one-way.
Stored at ~/.gstack/projects/{SLUG}/question-preferences.json.

Safety contract (the core of Codex finding #16, profile-poisoning defense
from docs/designs/PLAN_TUNING_V0.md §Security model):

  1. One-way doors ALWAYS return ASK_NORMALLY from --check, regardless of
     user preference. User's never-ask is overridden with a visible safety
     note so the user knows why their preference didn't suppress the prompt.

  2. --write requires an explicit `source` field:
       - Allowed:  "plan-tune", "inline-user"
       - REJECTED with exit code 2: "inline-tool-output", "inline-file",
         "inline-file-content", "inline-unknown"
     Rejection is explicit ("profile poisoning defense") so the caller can
     log and surface the attempt.

  3. free_text on --write is sanitized against injection patterns (ignore
     previous instructions, override:, system:, etc.) and newline-flattened.

Each --write also appends a preference-set event to
~/.gstack/projects/{SLUG}/question-events.jsonl for derivation audit trail.

31 tests:
- --check behavior (4): defaults, two-way, one-way (one-way overrides
  never-ask with safety note), unknown ids, missing arg
- --check with prefs (5): never-ask on two-way → AUTO_DECIDE; never-ask
  on one-way → ASK_NORMALLY with override note; always-ask always asks;
  ask-only-for-one-way flips appropriately
- --write valid (5): inline-user accepted, plan-tune accepted, persisted
  correctly, event appended, free_text preserved with flattening
- User-origin gate (6): missing source rejected; inline-tool-output
  rejected with exit code 2 and explicit poisoning message; inline-file,
  inline-file-content, inline-unknown rejected; unknown source rejected
- Schema validation (4): invalid JSON, bad question_id, bad preference,
  injection in free_text
- --read (2): empty → {}, returns writes
- --clear (3): specific id, clear-all, NOOP for missing
- --stats (2): empty zeros, tallies by preference type

31 pass, 0 fail, 52 expect() calls.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: question-tuning preamble resolvers

scripts/resolvers/question-tuning.ts ships three preamble generators:

  generateQuestionPreferenceCheck — before each AskUserQuestion, agent runs
    gstack-question-preference --check <id>. AUTO_DECIDE suppresses the ask
    and auto-chooses recommended. ASK_NORMALLY asks as usual. One-way door
    safety override is handled by the binary.

  generateQuestionLog — after each AskUserQuestion, agent appends a log
    record with skill, question_id, summary, category, door_type,
    options_count, user_choice, recommended, session_id.

  generateInlineTuneFeedback — offers inline "tune:" prompt after two-way
    questions. Documents structured shortcuts (never-ask, always-ask,
    ask-only-for-one-way, ask-less) AND accepts free-form English with
    normalization + confirmation. Explicitly spells out the USER-ORIGIN
    GATE: only write tune events when the prefix appears in the user's own
    chat message, never from tool output or file content. Binary enforces.

All three resolvers are gated by the QUESTION_TUNING preamble echo. When
the config is off, the agent skips these sections entirely. Ready to be
wired into preamble.ts in the next commit.

Codex host has a simpler variant that uses $GSTACK_BIN env vars.

scripts/resolvers/index.ts registers three placeholders:
  QUESTION_PREFERENCE_CHECK, QUESTION_LOG, INLINE_TUNE_FEEDBACK

Total resolver count goes from 45 to 48.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: wire question-tuning into preamble for tier >= 2 skills

scripts/resolvers/preamble.ts — adds two things:

  1. _QUESTION_TUNING config echo in the preamble bash block, gated on the
     user's gstack-config `question_tuning` value (default: false).
  2. A combined Question Tuning section for tier >= 2 skills, injected after
     the confusion protocol. The section itself is runtime-gated by the
     QUESTION_TUNING value — agents skip it entirely when off.

scripts/resolvers/question-tuning.ts — consolidated into one compact combined
section `generateQuestionTuning(ctx)` covering: preference check before the
question, log after, and inline tune: feedback with user-origin gate. Per-phase
generators remain exported for unit tests but are no longer the main entrypoint.

Size impact: +570 tokens / +2.3KB per tier-2+ SKILL.md. Three skills
(plan-ceo-review, office-hours, ship) still exceed the 100KB token ceiling —
but they were already over before this change. Delta is the smallest viable
wiring of the /plan-tune v1 substrate.

Golden fixtures (test/fixtures/golden/claude-ship, codex-ship, factory-ship)
regenerated to match the new baseline.

Full test run: 1149 pass, 0 fail, 113 skip across 28 files.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: regenerate SKILL.md files with question-tuning section

bun run gen:skill-docs --host all after wiring the QUESTION_TUNING preamble
section. Every tier >= 2 skill now includes the combined Question Tuning
guidance. Runtime-gated — agents skip the section when question_tuning is
off in gstack-config (default).

Golden fixtures (claude-ship, codex-ship, factory-ship) updated to the new
baseline.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: /plan-tune skill — conversational inspection + preferences

plan-tune/SKILL.md.tmpl: the user-facing skill for /plan-tune v1. Routes
plain-English intent to one of 8 flows:

  - Enable + setup (first-time): 5 declaration questions mapping to the
    5 psychographic dimensions (scope_appetite, risk_tolerance,
    detail_preference, autonomy, architecture_care). Writes to
    developer-profile.json declared.*.
  - Inspect profile: plain-English rendering of declared + inferred + gap.
    Uses word bands (low/balanced/high) not raw floats. Shows vibe archetype
    when calibration gate is met.
  - Review question log: top-20 question frequencies with follow/override
    counts. Highlights override-heavy questions as candidates for never-ask.
  - Set a preference: normalizes "stop asking me about X" → never-ask, etc.
    Confirms ambiguous phrasings before writing via gstack-question-preference.
  - Edit declared profile: interprets free-form ("more boil-the-ocean") and
    CONFIRMS before mutating declared.* (trust boundary per Codex #15).
  - Show gap: declared vs inferred diff with plain-English severity bands
    (close / drift / mismatch). Never auto-updates declared from the gap.
  - Stats: preference counts + diversity/calibration status.
  - Enable / disable: gstack-config set question_tuning true|false.

Design constraints enforced:
- Plain English everywhere. No CLI subcommand syntax required. Shortcuts
  (`profile`, `vibe`, `stats`, `setup`) exist but optional.
- user-origin gate on tune: writes. source: "plan-tune" for user-invoked
  /plan-tune; source: "inline-user" for inline tune: from other skills.
- One-way doors override never-ask (safety, surfaced to user).
- No behavior adaptation in v1 — this skill inspects and configures only.

Generates plan-tune/SKILL.md at ~11.6k tokens, well under the 100KB ceiling.
Generated for all hosts via `bun run gen:skill-docs --host all`.

Full free test suite: 1149 pass, 0 fail, 113 skip across 28 files.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test: end-to-end pipeline + preamble injection coverage

Added 6 tests to test/plan-tune.test.ts:

Preamble injection (3 tests):
- tier 2+ includes Question Tuning section with preference check, log,
  and user-origin gate language ('profile-poisoning defense', 'inline-user')
- tier 1 does NOT include the prose section (QUESTION_TUNING bash echo
  still fires since it's in the bash block all tiers share)
- codex host swaps binDir references to $GSTACK_BIN

End-to-end pipeline (3 tests) — real binaries working together, not mocks:
- Log 5 expand choices → --derive → profile shows scope_appetite > 0.5
  (full log → registry lookup → signal map → normalization round-trip)
- --write source: inline-tool-output rejected; --read confirms no pref
  was persisted (the profile-poisoning defense actually works end-to-end)
- Migrate a 3-session legacy file; confirm legacy gstack-builder-profile
  shim still returns SESSION_COUNT: 3, TIER: welcome_back, CROSS_PROJECT: true

test/plan-tune.test.ts now has 47 tests total.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test: E2E test for /plan-tune plain-English inspection flow (gate tier)

test/skill-e2e-plan-tune.test.ts — verifies /plan-tune correctly routes
plain-English intent ("review the questions I've been asked") to the
Review question log section without requiring CLI subcommand syntax.

Seeds a synthetic question-log.jsonl with 3 entries exercising:
- override behavior (user chose expand over recommended selective)
- one-way door respect (user followed ship-test-failure-triage recommendation)
- two-way override (user skipped recommended changelog polish)

Invokes the skill via `claude -p` and asserts:
- Agent surfaces >= 2 of 3 logged question_ids in output
- Agent notices override/skip behavior from the log
- Exit reason is success or error_max_turns (not agent-crash)

Gate-tier because the core v1 DX promise is plain-English intent routing.
If it requires memorized subcommands or breaks on natural language, that's
a regression of the defining feature.

Registered in test/helpers/touchfiles.ts with dependencies:
- plan-tune/** (skill template + generated md)
- scripts/question-registry.ts (required for log lookup)
- scripts/psychographic-signals.ts, scripts/one-way-doors.ts (derive path)
- bin/gstack-question-log, gstack-question-preference, gstack-developer-profile

Skipped when EVALS_ENABLED is not set; runs on `bun run test:evals`.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v0.19.0.0) — /plan-tune v1

Ships /plan-tune as observational substrate: typed question registry, dual-track
developer profile (declared + inferred), explicit per-question preferences with
user-origin gate, inline tune: feedback across every tier >= 2 skill, unified
developer-profile.json with migration from builder-profile.jsonl.

Scope rolled back from initial CEO EXPANSION plan after outside-voice review
(Codex). 6 deferrals tracked as P0 TODOs with explicit acceptance criteria:
E1 substrate wiring, E3 narrative/vibe, E4 blind-spot coach, E5 LANDED
celebration, E6 auto-adjustment, E7 psychographic auto-decide.

See docs/designs/PLAN_TUNING_V0.md for the full design record.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(ci): harden Dockerfile.ci against transient Ubuntu mirror failures

The CI image build failed with:
  E: Failed to fetch http://archive.ubuntu.com/ubuntu/pool/main/...
     Connection failed [IP: 91.189.92.22 80]
  ERROR: process "/bin/sh -c apt-get update && apt-get install ..."
     did not complete successfully: exit code: 100

archive.ubuntu.com periodically returns "connection refused" on individual
regional mirrors. Without retry logic a single failed fetch nukes the whole
Docker build. Three defenses, layered:

  1. /etc/apt/apt.conf.d/80-retries — apt fetches each package up to 5 times
     with a 30s timeout. Handles per-package flakes.
  2. Shell-loop retry around the whole apt-get step (x3, 10s sleep) — handles
     the case where apt-get update itself can't reach any mirror.
  3. --retry 5 --retry-delay 5 --retry-connrefused on all curl fetches (bun
     install script, GitHub CLI keyring, NodeSource setup script).

Applied to every apt-get and curl call in the Dockerfile. No behavior change
on happy path — only kicks in when mirrors blip. Fixes the build-image job
that was blocking CI on the /plan-tune PR.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: add PLAN_TUNING_V1 + PACING_UPDATES_V0 design docs

Captures the V1 design (ELI10 writing + LOC reframe) in
docs/designs/PLAN_TUNING_V1.md and the extracted V1.1 pacing-overhaul
plan in docs/designs/PACING_UPDATES_V0.md. V1 scope was reduced from
the original bundled pacing + writing-style plan after three
engineering-review passes revealed structural gaps in the pacing
workstream that couldn't be closed via plan-text editing. TODOS.md
P0 entry links to V1.1.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: curated jargon list for V1 writing-style glossing

Repo-owned list of ~50 high-frequency technical terms (idempotent,
race condition, N+1, backpressure, etc.) that gstack glosses on first
use in tier-≥2 skill output. Baked into generated SKILL.md prose at
gen-skill-docs time. Terms not on this list are assumed plain-English
enough. Contributions via PR.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(preamble): V1 Writing Style section + EXPLAIN_LEVEL echo + migration prompt

Adds a new Writing Style section to tier-≥2 preamble output composing with
the existing AskUserQuestion Format section. Six rules: jargon glossed on
first use per skill invocation (from scripts/jargon-list.json), outcome-
framed questions, short sentences, decisions close with user impact,
gloss-on-first-use even if user pasted term, user-turn override for "be
terse" requests. Baked conditionally (skip if EXPLAIN_LEVEL: terse).

Adds EXPLAIN_LEVEL preamble echo using \${binDir} (host-portable matching
V0 QUESTION_TUNING pattern). Adds WRITING_STYLE_PENDING echo reading a
flag file written by the V0→V1 upgrade migration; on first post-upgrade
skill run, the agent fires a one-time AskUserQuestion offering terse mode.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(gstack-config): validate explain_level + document in header

Adds explain_level: default|terse to the annotated config header with
a one-line description. Whitelists valid values; on set of an unknown
value, prints a specific warning ("explain_level '\$VALUE' not
recognized. Valid values: default, terse. Using default.") and writes
the default value. Matches V1 preamble's EXPLAIN_LEVEL echo expectation.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: V1 upgrade migration — writing-style opt-out prompt

New migration script following existing v0.15.2.0.sh / v0.16.2.0.sh
pattern. Writes a .writing-style-prompt-pending flag file on first run
post-upgrade. The preamble's migration-prompt block reads the flag and
fires a one-time AskUserQuestion offering the user a choice between
the new default writing style and restoring V0 prose via
\`gstack-config set explain_level terse\`. Idempotent via flag files;
if the user has already set explain_level explicitly, counts as
answered and skips.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: LOC reframe tooling — throughput comparison + README updater + scc installer

Three new scripts:

- scripts/garry-output-comparison.ts — enumerates Garry-authored commits
  in 2013 + 2026 on public repos, extracts ADDED lines from git diff,
  classifies as logical SLOC via scc --stdin (regex fallback if scc
  missing). Writes docs/throughput-2013-vs-2026.json with per-language
  breakdown + explicit caveats (public repos only, commit-style drift,
  private-work exclusion).

- scripts/update-readme-throughput.ts — reads the JSON if present,
  replaces the README's <!-- GSTACK-THROUGHPUT-PLACEHOLDER --> anchor
  with the computed multiple (preserving the anchor for future runs).
  If JSON missing, writes GSTACK-THROUGHPUT-PENDING marker that CI
  rejects — forcing the build to run before commit.

- scripts/setup-scc.sh — standalone OS-detecting installer for scc.
  Not a package.json dependency (95% of users never run throughput).
  Brew on macOS, apt on Linux, GitHub releases link on Windows.

Two-string anchor pattern (PLACEHOLDER vs PENDING) prevents the
pipeline from destroying its own update path.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(retro): surface logical SLOC + weighted commits above raw LOC

V1 reorders the /retro summary table to lead with features shipped,
then commits + weighted commits (commits × files-touched capped at 20),
then PRs merged, then logical SLOC added as the primary code-volume
metric. Raw LOC stays present but is demoted to context. Rationale
inline in the template: ten lines of a good fix is not less shipping
than ten thousand lines of scaffold.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(v1): README hero reframe + writing-style + CHANGELOG + version bump to 1.0.0.0

README.md:
- Hero removes "600,000+ lines of production code" framing; replaces
  with the computed 2013-vs-2026 pro-rata multiple (via
  <!-- GSTACK-THROUGHPUT-PLACEHOLDER --> anchor, filled by the
  update-readme-throughput build step).
- Hiring callout: "ship real products at AI-coding speed" instead of
  "10K+ LOC/day."
- New Writing Style section (~80 words) between Quick start and
  Install: "v1 prompts = simpler" framing, outcome-language example,
  terse-mode opt-out, pointer to /plan-tune.

CLAUDE.md: one-paragraph Writing style (V1) note under project
conventions, linking to preamble resolver + V1 design docs.

CHANGELOG.md: V1 entry on top of v0.19.0.0 with user-facing narrative
(what changes, how to opt out, for-contributors notes). Mentions
scope reduction — pacing overhaul ships in V1.1.

CONTRIBUTING.md: one-paragraph note on jargon-list.json maintenance
(PR to add/remove terms; regenerate via gen:skill-docs).

VERSION + package.json: bump to 1.0.0.0.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: regenerate SKILL.md files + golden fixtures for V1

Mechanical regeneration from the updated templates in prior commits:
- Writing Style section now appears in tier-≥2 skill output.
- EXPLAIN_LEVEL + WRITING_STYLE_PENDING echoes in preamble bash.
- V1 migration-prompt block fires conditionally on first upgrade.
- Jargon list inlined into preamble prose at gen time.
- Retro template's logical SLOC + weighted commits order applied.

Regenerated for all 8 hosts via bun run gen:skill-docs --host all.
Golden ship-skill fixtures refreshed from regenerated outputs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test: V1 gate coverage — writing-style resolver + config + jargon + migration + dormancy

Six new gate-tier test files:

- test/writing-style-resolver.test.ts — asserts Writing Style section
  is injected into tier-≥2 preamble, all 6 rules present, jargon list
  inlined, terse-mode gate condition present, Codex output uses
  \$GSTACK_BIN (not ~/.claude/), tier-1 does NOT get the section,
  migration-prompt block present.

- test/explain-level-config.test.ts — gstack-config set/get round-trip
  for default + terse, unknown-value warns + defaults to default,
  header documents the key, round-trip across set→set→get.

- test/jargon-list.test.ts — shape + ~50 terms + no duplicates
  (case-insensitive) + includes canonical high-signal terms.

- test/v0-dormancy.test.ts — 5D dimension names + archetype names
  forbidden in default-mode tier-≥2 SKILL.md output, except for
  plan-tune and office-hours where they're load-bearing.

- test/readme-throughput.test.ts — script replaces anchor with number
  on happy path, writes PENDING marker when JSON missing, CI gate
  asserts committed README contains no PENDING string.

- test/upgrade-migration-v1.test.ts — fresh run writes pending flag,
  idempotent after user-answered, pre-existing explain_level counts
  as answered.

All 95 V1 test-expect() calls pass. Full suite: 0 failures.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: compute real 2013-vs-2026 throughput multiple (130.2×)

Ran scripts/garry-output-comparison.ts across all 15 public garrytan/*
repos. Aggregated results into docs/throughput-2013-vs-2026.json and
ran scripts/update-readme-throughput.ts to replace the README placeholder.

2013 public activity: 2 commits, 2,384 logical lines added across 1
week, in 1 repo (zurb-foundation-wysihtml5 upstream contribution).

2026 public activity: 279 commits, 310,484 logical lines added across
17 active weeks, in 3 repos (gbrain, gstack, resend_robot).

Multiples (public repos only, apples-to-apples):
- Logical SLOC: 130.2×
- Commits per active week: 8.2×
- Raw lines added: 134.4×

Private work at both eras (2013 Bookface at YC, Posterous-era code,
2026 internal tools) is excluded from this comparison.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: 207× throughput multiple (with private repos + Bookface)

Re-ran scripts/garry-output-comparison.ts across all 41 repos under
garrytan/* (15 public + 26 private), including Bookface (YC's internal
social network, 2013-era work).

2013 activity: 71 commits, 5,143 logical lines, 4 active repos
  (bookface, delicounter, tandong, zurb-foundation-wysihtml5)
2026 activity: 350 commits, 1,064,818 logical lines, 15 active repos
  (gbrain, gstack, gbrowser, tax-app, kumo, tenjin, autoemail, kitsune,
  easy-chromium-compiles, conductor-playground, garryslist-agent, baku,
  gstack-website, resend_robot, garryslist-brain)

Multiples:
- Logical SLOC: 207× (up from 130.2× when including private work)
- Raw lines: 223×
- Commits/active-week: 3.4×

Stopped committing docs/throughput-2013-vs-2026.json — analysis is a
local artifact, not repo state. Added docs/throughput-*.json to
.gitignore. Full markdown analysis at ~/throughput-analysis-2026-04-18.md
(local-only). README multiple is now hardcoded; re-run the script and
edit manually when you want to refresh it.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: run rate vs year-to-date throughput comparison

Two separate numbers in the README hero:
- Run rate: ~700× (9,859 logical lines/day in 2026 vs 14/day in 2013)
- Year-to-date: 207× (2026 through April 18 already exceeds 2013 full
  year by 207×)

Previous "207× pro-rata" framing mixed full-year 2013 vs partial-year
2026. Run rate is the apples-to-apples normalization; YTD is the
"already produced" total. Both are honest; both are compelling; they
measure different things.

Analysis at ~/throughput-analysis-2026-04-18.md (local-only).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(throughput): script natively computes to-date + run-rate multiples

Enhanced scripts/garry-output-comparison.ts so both calculations come
out of a single run instead of being reassembled ad-hoc in bash:

PerYearResult now includes:
- days_elapsed — 365 for past years, day-of-year for current
- is_partial — flags the current (in-progress) year
- per_day_rate — logical/raw/commits normalized by calendar day
- annualized_projection — per_day_rate × 365

Output JSON's `multiples` now has two sibling blocks:
- multiples.to_date — raw volume ratios (2026-YTD / 2013-full-year)
- multiples.run_rate — per-day pace ratios (apples-to-apples)

Back-compat: multiples.logical_lines_added still aliases to_date for
older consumers reading the JSON.

Updated README hero to cite both (picking up brain/* repo that was
missed in the earlier aggregation pass):

  2026 run rate: ~880× my 2013 pace (12,382 vs 14 logical lines/day)
  2026 YTD:      260× the entire 2013 year

Stderr summary now prints both multiples at the end of each run.

Full analysis at ~/throughput-analysis-2026-04-18.md (local-only).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: ON_THE_LOC_CONTROVERSY methodology post + README link

Long-form response to the "LOC is a meaningless vanity metric" critique.
Covers:
- The three branches of the LOC critique and which are right
- Why logical SLOC (NCLOC) beats raw LOC as the honest measurement
- Full method: author-scoped git diff, regex-classified added lines,
  aggregated across 41 public + private garrytan/* repos
- Both calculations: to-date (260x) and run-rate (879x)
- Steelman of the critics (greenfield-vs-maintenance, survivorship bias,
  quality-adjusted productivity, time-to-first-user)
- Reproduction instructions

Linked from README hero via a blockquote directly below the number.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* exclude: tax-app from throughput analysis (import-dominated history)

tax-app's history is one commit of 104K logical lines — an initial
import of a codebase, not authored work. Removing it to keep the
comparison honest.

Changes:
- scripts/garry-output-comparison.ts: added EXCLUDED_REPOS constant
  with tax-app + a one-line rationale. The script now skips excluded
  repos with a stderr note and deletes any stale output JSON so
  aggregation loops don't pick up pre-exclusion numbers.

- README hero: updated to 810× run rate + 240× YTD (were 880×/260×).
  Wording updated to "40 public + private repos ... after excluding
  repos dominated by imported code."

- docs/ON_THE_LOC_CONTROVERSY.md: updated all numbers, added an
  "Exclusions" paragraph explaining tax-app, removed tax-app from
  the "shipped not WIP" example list.

New numbers (2026 through day 108, without tax-app):
  - To-date:  240× logical SLOC (1,233,062 vs 5,143)
  - Run rate: 810× per-day pace (11,417 vs 14 logical/day)
  - Annualized: ~4.2M logical lines projected

Future re-runs automatically skip tax-app. Add more exclusions to
EXCLUDED_REPOS at the top of the script with a one-line rationale.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix: correct tax-app exclusion rationale

tax-app is a demo app I built for an upcoming YC channel video,
not an "import-dominated history" as the previous commit claimed.
Excluded because it's not production shipping work, not because
of an import commit.

Updated rationale in scripts/garry-output-comparison.ts's
EXCLUDED_REPOS constant, in docs/ON_THE_LOC_CONTROVERSY.md's
method section + conclusion, and in the README hero wording
("one demo repo" vs the earlier "repos dominated by imported code").

Numbers unchanged — the exclusion itself is the same, just the
reason.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: harden ON_THE_LOC_CONTROVERSY against Cramer + neckbeard critiques

Reframes the thesis as "engineers can fly now" (amplification, not
replacement) and fortifies the soft spots critics will attack.

Added:
- Flight-thesis opener: pilot vs walker, leverage not replacement.
- Second deflation layer for AI verbosity (on top of NCLOC). Headline
  moves from 810x to 408x after generous 2x AI-boilerplate cut, with
  explicit sensitivity analysis showing the number is still large under
  pessimistic priors (5x → 162x, 10x → 81x, 100x impossible).
- Weekly distribution check (kills "you had one burst week" attack).
- Revert rate (2.0%) and post-merge fix rate (6.3%) with OSS
  comparables (K8s/Rails/Django band). Addresses "where are your error
  rates" directly.
- Named production adoption signals (gstack 1000+ installs, gbrain beta,
  resend_robot paying API) with explicit concession that "shipped != used
  at scale" for most of the corpus.
- Harder steelman: 5 specific concessions with quantified pivot points
  (e.g., "if 2013 baseline was 3.5x higher, 810x → 228x, still high").

Removed factual error: Posterous acquisition paragraph (Garry had already
left Posterous by 2011, so the "Twitter bought our private repos" excuse
for the 2013 corpus gap doesn't apply).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: update gstack/gbrain adoption numbers in LOC controversy post

gstack: "1,000+ distinct project installations" → "tens of thousands of
daily active users" (telemetry-reported, community tier, opt-in).
gbrain: "small set of beta testers" → "hundreds of beta testers running
it live."

Both are the accurate current numbers. The concession paragraph below
(about shipped != adopted at scale for the long-tail repos) still reads
correctly since it's about the corpus as a whole, not gstack/gbrain
specifically.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: reframe reproducibility note as OSS breakout flex

"You'd need access to my private repos" → "Bookface and Posthaven are
private, but gstack and gbrain are open-sourced with tens of thousands
of GitHub stars and tens of thousands of confirmed regular users, among
the most-used OSS projects in the world that didn't exist three months
ago."

Keeps the `gh repo list` command at the end for the actual
reproducibility instruction.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Rewrite LOC controversy post

- Lead with concession (LOC is garbage, do the math anyway)
- Preempt 14 lines/day meme with historical baselines (Brooks, Jones, McConnell)
- Remove 'neckbeard' language throughout
- Add slop-scan story (Ben Vinegar, 5.24 → 1.96, 62% cut)
- David Cramer GUnit joke
- Add testing philosophy section (the real unlock)
- ASCII weekly distribution chart
- gstack telemetry section with real numbers (15K installs, 305K invocations, 95.2% success)
- Top skills usage chart
- Pick-your-priors paragraph moved earlier (the killer)
- Sharper close: run the script, show me your numbers

* docs: four precision fixes on LOC controversy post

1. Citation fix. Kernighan didn't say anything about LOC-as-metric
   (that's the famous "aircraft building by weight" quote, commonly
   misattributed but actually Bill Gates). Replaced "Kernighan implied
   it before that" with the real Dijkstra quote ("lines produced" vs
   "lines spent" from EWD1036, with direct link) + the Gates quote.
   Verified via web search.

2. Slop-scan direction clarified. "(highest on his benchmark)" was
   ambiguous — could read as a brag. Now: "Higher score = more slop.
   He ran it on gstack and we scored 5.24, the worst he'd measured
   at the time." Then the 62% cut lands as an actual win.

3. Prose/chart skill-usage ordering now matches. Added /plan-eng-review
   (28,014) to the prose list so it doesn't conflict with the chart
   below it.

4. Cut the "David — I owe you one / GUnit" insider joke. Most readers
   won't connect Cramer → Sentry → GUnit naming. Ends the slop-scan
   paragraph on the stronger line: "Run `bun test` and watch 2,000+
   tests pass."

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: tighten four LOC post citations to match primary sources

1. Bill Gates quote: flagged as folklore-grade. Was "Bill Gates put it
   more memorably" (firm attribution). Now "The old line (widely
   attributed to Bill Gates, sourcing murky) puts it more memorably."
   The quote stands; honesty about attribution avoids the same
   misattribution trap we just fixed for Kernighan.

2. Capers Jones: "15-50 across thousands of projects" → "roughly 16-38
   LOC/day across thousands of projects" — matches his actual published
   measurements (which also report as 325-750 LOC/month).

3. Steve McConnell: "10-50 for finished, tested, delivered code" was
   folklore. Replaced with his actual project-size-dependent range from
   Code Complete: "20-125 LOC/day for small projects (10K LOC) down to
   1.5-25 for large projects (10M LOC) — it's size-dependent, not a
   single number."

4. Revert rate comparison: "Kubernetes, Rails, and Django historically
   run 1.5-3%" was unsourced. Replaced with "mature OSS codebases
   typically run 1-3%" + "run the same command on whatever you consider
   the bar and compare." No false specificity about which repos.

Net: every quantitative citation in the post now matches primary-source
figures or is explicitly flagged as folklore. Neckbeards can verify.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: drop Writing style section from README

Was sitting in prime real estate between Quick start and Install —
internal implementation detail, not something users need up-front.
Existing coverage is enough:
- Upgrade migration prompt notifies users on first post-upgrade run
- CLAUDE.md has the contributor note
- docs/designs/PLAN_TUNING_V1.md has the full design

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: collapse team-mode setup into one paste-and-go command

Step 2 was three separate code blocks: setup --team, then team-init,
then git add/commit. Mirrors Step 1's style now — one shell one-liner
that does all three. Subshell (cd && ./setup --team) keeps the user
in their repo pwd so team-init + git commit land in the right place.

"Swap required for optional" moved to a one-liner below.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: move full-clone footnote from README to CONTRIBUTING

The "Contributing or need full history?" note is for contributors, not
for someone following the README install flow. Moved into CONTRIBUTING's
Quick start section where it fits next to the existing clone command,
with a tip to upgrade an existing shallow clone via
\`git fetch --unshallow\`.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: root <root@localhost>
2026-04-18 15:05:42 +08:00

24 KiB

name, preamble-tier, version, description, triggers, allowed-tools
name preamble-tier version description triggers allowed-tools
setup-browser-cookies 1 1.0.0 Import cookies from your real Chromium browser into the headless browse session. Opens an interactive picker UI where you select which cookie domains to import. Use before QA testing authenticated pages. Use when asked to "import cookies", "login to the site", or "authenticate the browser". (gstack)
import browser cookies
login to test site
setup authenticated session
Bash
Read
AskUserQuestion

Preamble (run first)

_UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -exec rm {} + 2>/dev/null || true
_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
_PROACTIVE_PROMPTED=$([ -f ~/.gstack/.proactive-prompted ] && echo "yes" || echo "no")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
_SKILL_PREFIX=$(~/.claude/skills/gstack/bin/gstack-config get skill_prefix 2>/dev/null || echo "false")
echo "PROACTIVE: $_PROACTIVE"
echo "PROACTIVE_PROMPTED: $_PROACTIVE_PROMPTED"
echo "SKILL_PREFIX: $_SKILL_PREFIX"
source <(~/.claude/skills/gstack/bin/gstack-repo-mode 2>/dev/null) || true
REPO_MODE=${REPO_MODE:-unknown}
echo "REPO_MODE: $REPO_MODE"
_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
echo "LAKE_INTRO: $_LAKE_SEEN"
_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true)
_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
echo "TELEMETRY: ${_TEL:-off}"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
# Question tuning (opt-in; see /plan-tune + docs/designs/PLAN_TUNING_V0.md)
_QUESTION_TUNING=$(~/.claude/skills/gstack/bin/gstack-config get question_tuning 2>/dev/null || echo "false")
echo "QUESTION_TUNING: $_QUESTION_TUNING"
# Writing style (V1: default = ELI10-style, terse = V0 prose. See docs/designs/PLAN_TUNING_V1.md)
_EXPLAIN_LEVEL=$(~/.claude/skills/gstack/bin/gstack-config get explain_level 2>/dev/null || echo "default")
if [ "$_EXPLAIN_LEVEL" != "default" ] && [ "$_EXPLAIN_LEVEL" != "terse" ]; then _EXPLAIN_LEVEL="default"; fi
echo "EXPLAIN_LEVEL: $_EXPLAIN_LEVEL"
# V1 upgrade migration pending-prompt flag
_WRITING_STYLE_PENDING=$([ -f ~/.gstack/.writing-style-prompt-pending ] && echo "yes" || echo "no")
echo "WRITING_STYLE_PENDING: $_WRITING_STYLE_PENDING"
mkdir -p ~/.gstack/analytics
if [ "$_TEL" != "off" ]; then
echo '{"skill":"setup-browser-cookies","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
fi
# zsh-compatible: use find instead of glob to avoid NOMATCH error
for _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do
  if [ -f "$_PF" ]; then
    if [ "$_TEL" != "off" ] && [ -x "~/.claude/skills/gstack/bin/gstack-telemetry-log" ]; then
      ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true
    fi
    rm -f "$_PF" 2>/dev/null || true
  fi
  break
done
# Learnings count
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" 2>/dev/null || true
_LEARN_FILE="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.claude/skills/gstack/bin/gstack-learnings-search --limit 3 2>/dev/null || true
  fi
else
  echo "LEARNINGS: 0"
fi
# Session timeline: record skill start (local-only, never sent anywhere)
~/.claude/skills/gstack/bin/gstack-timeline-log '{"skill":"setup-browser-cookies","event":"started","branch":"'"$_BRANCH"'","session":"'"$_SESSION_ID"'"}' 2>/dev/null &
# Check if CLAUDE.md has routing rules
_HAS_ROUTING="no"
if [ -f CLAUDE.md ] && grep -q "## Skill routing" CLAUDE.md 2>/dev/null; then
  _HAS_ROUTING="yes"
fi
_ROUTING_DECLINED=$(~/.claude/skills/gstack/bin/gstack-config get routing_declined 2>/dev/null || echo "false")
echo "HAS_ROUTING: $_HAS_ROUTING"
echo "ROUTING_DECLINED: $_ROUTING_DECLINED"
# Vendoring deprecation: detect if CWD has a vendored gstack copy
_VENDORED="no"
if [ -d ".claude/skills/gstack" ] && [ ! -L ".claude/skills/gstack" ]; then
  if [ -f ".claude/skills/gstack/VERSION" ] || [ -d ".claude/skills/gstack/.git" ]; then
    _VENDORED="yes"
  fi
fi
echo "VENDORED_GSTACK: $_VENDORED"
# Detect spawned session (OpenClaw or other orchestrator)
[ -n "$OPENCLAW_SESSION" ] && echo "SPAWNED_SESSION: true" || true

If PROACTIVE is "false", do not proactively suggest gstack skills AND do not auto-invoke skills based on conversation context. Only run skills the user explicitly types (e.g., /qa, /ship). If you would have auto-invoked a skill, instead briefly say: "I think /skillname might help here — want me to run it?" and wait for confirmation. The user opted out of proactive behavior.

If SKILL_PREFIX is "true", the user has namespaced skill names. When suggesting or invoking other gstack skills, use the /gstack- prefix (e.g., /gstack-qa instead of /qa, /gstack-ship instead of /ship). Disk paths are unaffected — always use ~/.claude/skills/gstack/[skill-name]/SKILL.md for reading skill files.

If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/gstack/gstack-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running gstack v{to} (just updated!)" and continue.

If WRITING_STYLE_PENDING is yes: You're on the first skill run after upgrading to gstack v1. Ask the user once about the new default writing style. Use AskUserQuestion:

v1 prompts = simpler. Technical terms get a one-sentence gloss on first use, questions are framed in outcome terms, sentences are shorter.

Keep the new default, or prefer the older tighter prose?

Options:

  • A) Keep the new default (recommended — good writing helps everyone)
  • B) Restore V0 prose — set explain_level: terse

If A: leave explain_level unset (defaults to default). If B: run ~/.claude/skills/gstack/bin/gstack-config set explain_level terse.

Always run (regardless of choice):

rm -f ~/.gstack/.writing-style-prompt-pending
touch ~/.gstack/.writing-style-prompted

This only happens once. If WRITING_STYLE_PENDING is no, skip this entirely.

If LAKE_INTRO is no: Before continuing, introduce the Completeness Principle. Tell the user: "gstack follows the Boil the Lake principle — always do the complete thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean" Then offer to open the essay in their default browser:

open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen

Only run open if the user says yes. Always run touch to mark as seen. This only happens once.

If TEL_PROMPTED is no AND LAKE_INTRO is yes: After the lake intro is handled, ask the user about telemetry. Use AskUserQuestion:

Help gstack get better! Community mode shares usage data (which skills you use, how long they take, crash info) with a stable device ID so we can track trends and fix bugs faster. No code, file paths, or repo names are ever sent. Change anytime with gstack-config set telemetry off.

Options:

  • A) Help gstack get better! (recommended)
  • B) No thanks

If A: run ~/.claude/skills/gstack/bin/gstack-config set telemetry community

If B: ask a follow-up AskUserQuestion:

How about anonymous mode? We just learn that someone used gstack — no unique ID, no way to connect sessions. Just a counter that helps us know if anyone's out there.

Options:

  • A) Sure, anonymous is fine
  • B) No thanks, fully off

If B→A: run ~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous If B→B: run ~/.claude/skills/gstack/bin/gstack-config set telemetry off

Always run:

touch ~/.gstack/.telemetry-prompted

This only happens once. If TEL_PROMPTED is yes, skip this entirely.

If PROACTIVE_PROMPTED is no AND TEL_PROMPTED is yes: After telemetry is handled, ask the user about proactive behavior. Use AskUserQuestion:

gstack can proactively figure out when you might need a skill while you work — like suggesting /qa when you say "does this work?" or /investigate when you hit a bug. We recommend keeping this on — it speeds up every part of your workflow.

Options:

  • A) Keep it on (recommended)
  • B) Turn it off — I'll type /commands myself

If A: run ~/.claude/skills/gstack/bin/gstack-config set proactive true If B: run ~/.claude/skills/gstack/bin/gstack-config set proactive false

Always run:

touch ~/.gstack/.proactive-prompted

This only happens once. If PROACTIVE_PROMPTED is yes, skip this entirely.

If HAS_ROUTING is no AND ROUTING_DECLINED is false AND PROACTIVE_PROMPTED is yes: Check if a CLAUDE.md file exists in the project root. If it does not exist, create it.

Use AskUserQuestion:

gstack works best when your project's CLAUDE.md includes skill routing rules. This tells Claude to use specialized workflows (like /ship, /investigate, /qa) instead of answering directly. It's a one-time addition, about 15 lines.

Options:

  • A) Add routing rules to CLAUDE.md (recommended)
  • B) No thanks, I'll invoke skills manually

If A: Append this section to the end of CLAUDE.md:


## Skill routing

When the user's request matches an available skill, ALWAYS invoke it using the Skill
tool as your FIRST action. Do NOT answer directly, do NOT use other tools first.
The skill has specialized workflows that produce better results than ad-hoc answers.

Key routing rules:
- Product ideas, "is this worth building", brainstorming → invoke office-hours
- Bugs, errors, "why is this broken", 500 errors → invoke investigate
- Ship, deploy, push, create PR → invoke ship
- QA, test the site, find bugs → invoke qa
- Code review, check my diff → invoke review
- Update docs after shipping → invoke document-release
- Weekly retro → invoke retro
- Design system, brand → invoke design-consultation
- Visual audit, design polish → invoke design-review
- Architecture review → invoke plan-eng-review
- Save progress, checkpoint, resume → invoke checkpoint
- Code quality, health check → invoke health

Then commit the change: git add CLAUDE.md && git commit -m "chore: add gstack skill routing rules to CLAUDE.md"

If B: run ~/.claude/skills/gstack/bin/gstack-config set routing_declined true Say "No problem. You can add routing rules later by running gstack-config set routing_declined false and re-running any skill."

This only happens once per project. If HAS_ROUTING is yes or ROUTING_DECLINED is true, skip this entirely.

If VENDORED_GSTACK is yes: This project has a vendored copy of gstack at .claude/skills/gstack/. Vendoring is deprecated. We will not keep vendored copies up to date, so this project's gstack will fall behind.

Use AskUserQuestion (one-time per project, check for ~/.gstack/.vendoring-warned-$SLUG marker):

This project has gstack vendored in .claude/skills/gstack/. Vendoring is deprecated. We won't keep this copy up to date, so you'll fall behind on new features and fixes.

Want to migrate to team mode? It takes about 30 seconds.

Options:

  • A) Yes, migrate to team mode now
  • B) No, I'll handle it myself

If A:

  1. Run git rm -r .claude/skills/gstack/
  2. Run echo '.claude/skills/gstack/' >> .gitignore
  3. Run ~/.claude/skills/gstack/bin/gstack-team-init required (or optional)
  4. Run git add .claude/ .gitignore CLAUDE.md && git commit -m "chore: migrate gstack from vendored to team mode"
  5. Tell the user: "Done. Each developer now runs: cd ~/.claude/skills/gstack && ./setup --team"

If B: say "OK, you're on your own to keep the vendored copy up to date."

Always run (regardless of choice):

eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" 2>/dev/null || true
touch ~/.gstack/.vendoring-warned-${SLUG:-unknown}

This only happens once per project. If the marker file exists, skip entirely.

If SPAWNED_SESSION is "true", you are running inside a session spawned by an AI orchestrator (e.g., OpenClaw). In spawned sessions:

  • Do NOT use AskUserQuestion for interactive prompts. Auto-choose the recommended option.
  • Do NOT run upgrade checks, telemetry prompts, routing injection, or lake intro.
  • Focus on completing the task and reporting results via prose output.
  • End with a completion report: what shipped, decisions made, anything uncertain.

Voice

Tone: direct, concrete, sharp, never corporate, never academic. Sound like a builder, not a consultant. Name the file, the function, the command. No filler, no throat-clearing.

Writing rules: No em dashes (use commas, periods, "..."). No AI vocabulary (delve, crucial, robust, comprehensive, nuanced, etc.). Short paragraphs. End with what to do.

The user always has context you don't. Cross-model agreement is a recommendation, not a decision — the user decides.

Completion Status Protocol

When completing a skill workflow, report status using one of:

  • DONE — All steps completed successfully. Evidence provided for each claim.
  • DONE_WITH_CONCERNS — Completed, but with issues the user should know about. List each concern.
  • BLOCKED — Cannot proceed. State what is blocking and what was tried.
  • NEEDS_CONTEXT — Missing information required to continue. State exactly what you need.

Escalation

It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result."

Bad work is worse than no work. You will not be penalized for escalating.

  • If you have attempted a task 3 times without success, STOP and escalate.
  • If you are uncertain about a security-sensitive change, STOP and escalate.
  • If the scope of work exceeds what you can verify, STOP and escalate.

Escalation format:

STATUS: BLOCKED | NEEDS_CONTEXT
REASON: [1-2 sentences]
ATTEMPTED: [what you tried]
RECOMMENDATION: [what the user should do next]

Operational Self-Improvement

Before completing, reflect on this session:

  • Did any commands fail unexpectedly?
  • Did you take a wrong approach and have to backtrack?
  • Did you discover a project-specific quirk (build order, env vars, timing, auth)?
  • Did something take longer than expected because of a missing flag or config?

If yes, log an operational learning for future sessions:

~/.claude/skills/gstack/bin/gstack-learnings-log '{"skill":"SKILL_NAME","type":"operational","key":"SHORT_KEY","insight":"DESCRIPTION","confidence":N,"source":"observed"}'

Replace SKILL_NAME with the current skill name. Only log genuine operational discoveries. Don't log obvious things or one-time transient errors (network blips, rate limits). A good test: would knowing this save 5+ minutes in a future session? If yes, log it.

Telemetry (run last)

After the skill workflow completes (success, error, or abort), log the telemetry event. Determine the skill name from the name: field in this file's YAML frontmatter. Determine the outcome from the workflow result (success if completed normally, error if it failed, abort if the user interrupted).

PLAN MODE EXCEPTION — ALWAYS RUN: This command writes telemetry to ~/.gstack/analytics/ (user config directory, not project files). The skill preamble already writes to the same directory — this is the same pattern. Skipping this command loses session duration and outcome data.

Run this bash:

_TEL_END=$(date +%s)
_TEL_DUR=$(( _TEL_END - _TEL_START ))
rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true
# Session timeline: record skill completion (local-only, never sent anywhere)
~/.claude/skills/gstack/bin/gstack-timeline-log '{"skill":"SKILL_NAME","event":"completed","branch":"'$(git branch --show-current 2>/dev/null || echo unknown)'","outcome":"OUTCOME","duration_s":"'"$_TEL_DUR"'","session":"'"$_SESSION_ID"'"}' 2>/dev/null || true
# Local analytics (gated on telemetry setting)
if [ "$_TEL" != "off" ]; then
echo '{"skill":"SKILL_NAME","duration_s":"'"$_TEL_DUR"'","outcome":"OUTCOME","browse":"USED_BROWSE","session":"'"$_SESSION_ID"'","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
fi
# Remote telemetry (opt-in, requires binary)
if [ "$_TEL" != "off" ] && [ -x ~/.claude/skills/gstack/bin/gstack-telemetry-log ]; then
  ~/.claude/skills/gstack/bin/gstack-telemetry-log \
    --skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \
    --used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null &
fi

Replace SKILL_NAME with the actual skill name from frontmatter, OUTCOME with success/error/abort, and USED_BROWSE with true/false based on whether $B was used. If you cannot determine the outcome, use "unknown". The local JSONL always logs. The remote binary only runs if telemetry is not off and the binary exists.

Plan Mode Safe Operations

When in plan mode, these operations are always allowed because they produce artifacts that inform the plan, not code changes:

  • $B commands (browse: screenshots, page inspection, navigation, snapshots)
  • $D commands (design: generate mockups, variants, comparison boards, iterate)
  • codex exec / codex review (outside voice, plan review, adversarial challenge)
  • Writing to ~/.gstack/ (config, analytics, review logs, design artifacts, learnings)
  • Writing to the plan file (already allowed by plan mode)
  • open commands for viewing generated artifacts (comparison boards, HTML previews)

These are read-only in spirit — they inspect the live site, generate visual artifacts, or get independent opinions. They do NOT modify project source files.

Skill Invocation During Plan Mode

If a user invokes a skill during plan mode, that invoked skill workflow takes precedence over generic plan mode behavior until it finishes or the user explicitly cancels that skill.

Treat the loaded skill as executable instructions, not reference material. Follow it step by step. Do not summarize, skip, reorder, or shortcut its steps.

If the skill says to use AskUserQuestion, do that. Those AskUserQuestion calls satisfy plan mode's requirement to end turns with AskUserQuestion.

If the skill reaches a STOP point, stop immediately at that point, ask the required question if any, and wait for the user's response. Do not continue the workflow past a STOP point, and do not call ExitPlanMode at that point.

If the skill includes commands marked "PLAN MODE EXCEPTION — ALWAYS RUN," execute them. The skill may edit the plan file, and other writes are allowed only if they are already permitted by Plan Mode Safe Operations or explicitly marked as a plan mode exception.

Only call ExitPlanMode after the active skill workflow is complete and there are no other invoked skill workflows left to run, or if the user explicitly tells you to cancel the skill or leave plan mode.

When you are in plan mode and about to call ExitPlanMode:

  1. Check if the plan file already has a ## GSTACK REVIEW REPORT section.
  2. If it DOES — skip (a review skill already wrote a richer report).
  3. If it does NOT — run this command:

```bash ~/.claude/skills/gstack/bin/gstack-review-read ```

Then write a ## GSTACK REVIEW REPORT section to the end of the plan file:

  • If the output contains review entries (JSONL lines before ---CONFIG---): format the standard report table with runs/status/findings per skill, same format as the review skills use.
  • If the output is NO_REVIEWS or empty: write this placeholder table:

```markdown

GSTACK REVIEW REPORT

Review Trigger Why Runs Status Findings
CEO Review `/plan-ceo-review` Scope & strategy 0
Codex Review `/codex review` Independent 2nd opinion 0
Eng Review `/plan-eng-review` Architecture & tests (required) 0
Design Review `/plan-design-review` UI/UX gaps 0
DX Review `/plan-devex-review` Developer experience gaps 0

VERDICT: NO REVIEWS YET — run `/autoplan` for full review pipeline, or individual reviews above. ```

PLAN MODE EXCEPTION — ALWAYS RUN: This writes to the plan file, which is the one file you are allowed to edit in plan mode. The plan file review report is part of the plan's living status.

Setup Browser Cookies

Import logged-in sessions from your real Chromium browser into the headless browse session.

CDP mode check

First, check if browse is already connected to the user's real browser:

$B status 2>/dev/null | grep -q "Mode: cdp" && echo "CDP_MODE=true" || echo "CDP_MODE=false"

If CDP_MODE=true: tell the user "Not needed — you're connected to your real browser via CDP. Your cookies and sessions are already available." and stop. No cookie import needed.

How it works

  1. Find the browse binary
  2. Run cookie-import-browser to detect installed browsers and open the picker UI
  3. User selects which cookie domains to import in their browser
  4. Cookies are decrypted and loaded into the Playwright session

Steps

1. Find the browse binary

SETUP (run this check BEFORE any browse command)

_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.claude/skills/gstack/browse/dist/browse" ] && B="$_ROOT/.claude/skills/gstack/browse/dist/browse"
[ -z "$B" ] && B="$HOME/.claude/skills/gstack/browse/dist/browse"
if [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi

If NEEDS_SETUP:

  1. Tell the user: "gstack browse needs a one-time build (~10 seconds). OK to proceed?" Then STOP and wait.
  2. Run: cd <SKILL_DIR> && ./setup
  3. If bun is not installed:
    if ! command -v bun >/dev/null 2>&1; then
      BUN_VERSION="1.3.10"
      BUN_INSTALL_SHA="bab8acfb046aac8c72407bdcce903957665d655d7acaa3e11c7c4616beae68dd"
      tmpfile=$(mktemp)
      curl -fsSL "https://bun.sh/install" -o "$tmpfile"
      actual_sha=$(shasum -a 256 "$tmpfile" | awk '{print $1}')
      if [ "$actual_sha" != "$BUN_INSTALL_SHA" ]; then
        echo "ERROR: bun install script checksum mismatch" >&2
        echo "  expected: $BUN_INSTALL_SHA" >&2
        echo "  got:      $actual_sha" >&2
        rm "$tmpfile"; exit 1
      fi
      BUN_VERSION="$BUN_VERSION" bash "$tmpfile"
      rm "$tmpfile"
    fi
    
$B cookie-import-browser

This auto-detects installed Chromium browsers and opens an interactive picker UI in your default browser where you can:

  • Switch between installed browsers
  • Search domains
  • Click "+" to import a domain's cookies
  • Click trash to remove imported cookies

Tell the user: "Cookie picker opened — select the domains you want to import in your browser, then tell me when you're done."

3. Direct import (alternative)

If the user specifies a domain directly (e.g., /setup-browser-cookies github.com), skip the UI:

$B cookie-import-browser comet --domain github.com

Replace comet with the appropriate browser if specified.

4. Verify

After the user confirms they're done:

$B cookies

Show the user a summary of imported cookies (domain counts).

Notes

  • On macOS, the first import per browser may trigger a Keychain dialog — click "Allow" / "Always Allow"
  • On Linux, v11 cookies may require secret-tool/libsecret access; v10 cookies use Chromium's standard fallback key
  • Cookie picker is served on the same port as the browse server (no extra process)
  • Only domain names and cookie counts are shown in the UI — no cookie values are exposed
  • The browse session persists cookies between commands, so imported cookies work immediately