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

* fix: distinguish current plan input from conversation history

* fix: keep hermetic plan reviews on manual permissions

* fix: distinguish tool discovery from file permission ownership

* fix: preserve initial plan mode in observation tests

* fix: wait for scope decisions before writing review findings

* fix: carry autoplan decisions consistently into review artifacts

* test: retain native failure context in periodic assertions

* fix: advance active file permissions before queued questions

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

* fix: finalize plan format captures and judges before retry

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

* test: select periodic consumers of the bounded attempt helper

* fix native Bash permission cards and queued questions

* fix: preserve independent decisions and review scope

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

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

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

* fix: require approval before design plan amendments

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

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

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

* fix: observe native question completion before transcript persistence

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

* test: recognize review posture in acknowledged native questions

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

* fix: preserve settled CEO choices and isolate pending remedies

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

* fix: carry approved DX choices through later review steps

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

* test: handle native settings-file edit prompts

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

* test: accept standard CEO reply directives with tuning footers

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

* test: scope split reviewers to their generated plan artifacts

* test: observe native Bash permissions and invocation results

* test: handle owned Bash prompts during mode preference checks

* test: preserve synchronous subprocess rejection in Codex fixture

* Fix periodic review handoff navigation

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

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

* Bind pending file permissions to distinct current targets

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

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

* Make paired CEO verification choices genuinely unresolved

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

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

* Keep CEO review options and verification within approved scope

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

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

* Assemble DX review artifacts before appending the final report

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

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

* Keep outside plan reviews exclusive and invocation-owned

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

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

* Select periodic completion evaluations for report writer changes

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

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

* Keep permission ambiguity fixtures on the same normalized target

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

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

* Clarify preserved contracts in engineering review fixture

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

* Recognize the offered DX follow-up handoff

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

* Check independent commitments before presenting review options

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

* Keep Codex review output and status in one shell invocation

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

* Distinguish seeded plans from reports written by a test attempt

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

* Recover clipped Autoplan file approvals with bounded viewport resizing

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

* Recover clipped Bash approvals before binding the complete command

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

* Isolate setup message tests from the shared checkout

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

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

* Fix periodic native permission and report completion handling

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

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

* Preserve review approvals and validate DX comparison artifacts

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

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

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

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

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

* Keep CEO state-path checks scoped to directory preparation

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

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

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

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

* Preserve queued edit identity and recover clipped Bash permissions

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

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

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

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

* Keep periodic reviews within their approved contracts and deliverables

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

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

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

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

* Keep Eng approval cadence and independence guards explicit

* Accept ordinary punctuation in manual review handoffs

* Recover file permissions alongside queued Bash calls

* Carry approved DX work through later review findings

* Clarify the synthetic auth internal failure decision

* Bound the periodic DX fixture to onboarding changes

* Recognize native Design review handoff labels

* Hold scope in the integration-choice review fixture

* Carry approved Design decisions through review evidence

* Capture listener state when feedback reload fails

* Exclude workspace caches before checking deprecated flags

* Verify Design UI scope against a seeded review plan

* Clarify plan review decisions and outside-voice approval flow

* Reject setup menus in the Design UI gate

* docs: require focused repair validation before final acceptance

* fix: separate review commitments within existing prompt budgets

* docs: align generation and contributor validation guidance

* fix: advance native review prompts and count acknowledged findings

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

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

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

* fix: handle owned Fetch permissions and oversized native cards

* test: ground review fixtures in independent executable contracts

* fix: preserve review decisions and verify reports before completion

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

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

* fix: clarify CEO review decisions and execution order

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

* Fix review decision gates and incomplete evaluation fixtures

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

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

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

* Fix review decision boundaries and owned Read prompts

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

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

* Clarify CEO and engineering review decisions

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

* Fix review decision ordering and native evaluation interactions

* Clarify engineering decisions and test artifact order

* Clarify pending choices and approvals in CEO reviews

* Make CEO review phases sequential and clarify completion

* Fix Design board submission intent matching

* Seed an existing browser test baseline for Autoplan

* Document decision-log payloads before state initialization

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

* Require input identity before repeating passing model judges

* Honor permitted storage throughout CEO review completion

* Match complete native permission text within the pinned renderer contract

* Align review approvals, independent choices, and bounded validation

* fix: preserve reopened approvals and declare fixture interfaces

* fix: isolate review artifacts and audit complete questions

* fix: match detector artifact permissions to configured storage

* fix: complete native permissions and review fixture workflows

* fix: order CEO review work and separate engineering guarantees

* fix: preserve native validation and separate review choices

* fix: clarify review decisions and judge complete report context

* fix: constrain review judgments and retain parse failures

* fix: compare each affected value before review decisions

* fix: make engineering review decisions and completion order explicit

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

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

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

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

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

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

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

* fix(reviews): clarify decision and completion ordering

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

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

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

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

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

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

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

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

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

* fix: consolidate Eng review decisions and select their evaluations

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

* fix: preserve Office Hours relationship closings during review updates

* fix: retain pasted review targets across slash invocations

* docs: preserve validation traces and correct release scope

* test: cover pasted targets in both review skills

* fix: validate report artifacts before recording success

* fix: redact source roots at CSO report boundaries

* fix: bind native Design questions before answering

* test: select report privacy and native recovery regressions

* test: bind rejection predicate in extracted observers

* fix: bind complete boxed native questions

* test: keep the Design UI fixture on native review

* fix: preserve review decisions and evaluation completion outcomes

* fix: clarify CEO approval and report completion order

* fix: align native review evaluation ownership and completion

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

* fix: validate review decisions against native outcomes

* fix: preserve review evidence and Autoplan phase handoffs

* test: bind review evidence to owned decisions and completion

* fix: retain owned native history across compaction

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

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

* fix: reconcile native review evidence and close Autoplan phases

* test: recognize owned whole-candidate complexity decisions

* test: preserve report freshness for approved investigation handoffs

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

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

* test: recognize complete CEO decisions and procedural pauses

* fix: bind current CEO comparison options and risk intervals

* test: bind engineering decisions and completion to owned evidence

* fix: publish Autoplan phase reports before continuing tools

* test: verify actual Autoplan dual-review dispatch evidence

* test: select dual review when shared evidence fixtures change

* fix: clarify plan review decisions and completion gates

* fix: make CEO review decisions and return paths explicit

* test: keep Autoplan prompt files inside attempt state

* test: preserve source whitespace across permission dialog wraps

* fix: publish Autoplan phase reports before continuing

* test: recognize current CEO comparisons and reject inactive records

* fix: reconcile engineering decision states before completion

* test: recognize complete Design decisions and reports

* test: verify current engineering decisions before navigation

* Recognize source-owned component reduction choices

* fix: recognize current CEO ledger and commitment grids

* test: supply RequestPolicy context to Eng count fixture

* fix: save complete engineering decisions before asking

* fix: bind Autoplan publication to the complete phase readback

* chore: prepare 1.87.5.0 reliability release

* fix: clarify engineering review completion and preserve log failures

* fix: bind CEO saved choices and current section ancestry

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

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

* fix(evals): preserve complete engineering choice records

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

* fix(autoplan): publish phase reports before advancing

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

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

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

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

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

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

* fix(reviews): preserve complete questions through dispatch

* fix(evals): recognize completed mode declarations

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

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

* fix: assemble complete CEO decision fields before saving

* fix: authenticate automatic mode decisions without guessing selectors

* fix: bind engineering coverage to approved regression contracts

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

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

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

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

* docs: clarify release guarantees (v1.87.5.0)

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

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

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

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

* fix(skills): restore review prompt size limits

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

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

* Clarify Engineering decisions and report completion

* Keep native decision assertions within their source boundary

* fix: recognize owned engineering decisions and completed navigation

* fix: bind completed auto decisions to their current review

* fix: recognize explicit CEO source attribution

* fix: dispatch verified CEO decisions without recomposing fields

* test: expose existing execution deadlines to review actors

* fix: distinguish CEO decision records from incidental headings

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

* test: connect reviewed regressions to required evaluation coverage

* Clarify CEO decision routing and completion stages

* test: expose existing section review deadlines to fixture actors

* test: recognize complete native CEO pacing inventories

* test: exclude answered history from current CEO payloads

* test: detect phase entry through owned skill HOME aliases

* test: validate native review completion and owned report permissions

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

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

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

* test: register integrated review and permission dependencies

* test: align native review adapters and finding coverage

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

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

* fix(autoplan): require phase reports before advancing

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

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

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

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

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

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

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

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

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

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

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

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

* docs: align evaluation limits and completion version

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

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

* fix: preserve overlay retries and bounded cleanup

* fix: recognize owned planning preludes in native questions

* docs: explain overlay scheduling and cleanup guarantees

* fix: require fresh publication after Autoplan phase reruns

* Release gstack 1.87.6

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

* fix: keep informational setup commands independent of install probes

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

* Fix remaining Windows identity and native path CI failures

* Clarify CEO review decision and reviewer-result routing

* test: accept no-install planner in retry supervision

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

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

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

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

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

---------

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

698 lines
27 KiB
Cheetah

---
name: setup-gbrain
preamble-tier: 2
version: 1.0.0
description: |
Set up gbrain for this coding agent: install the CLI, initialize a
local PGLite or Supabase brain, register MCP, capture per-remote trust
policy. One command from zero to "gbrain is running, and this agent
can call it." Use when: "setup gbrain", "connect gbrain", "start
gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
triggers:
- setup gbrain
- install gbrain
- connect gbrain
- start gbrain
- configure gbrain
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
- AskUserQuestion
---
{{PREAMBLE}}
# /setup-gbrain — Coding-Agent Onboarding for gbrain
You are setting up gbrain (https://github.com/garrytan/gbrain), a persistent
knowledge base, on the user's local Mac so that this coding agent (typically
Claude Code) can call it as both a CLI and an MCP tool.
**Scope honesty:** This skill's MCP registration step (5a) uses
`claude mcp add` and targets Claude Code specifically. Other local hosts
(Cursor, Codex CLI, etc.) will still get the gbrain CLI on PATH — they can
register `gbrain serve` in their own MCP config manually after setup.
**Audience:** local-Mac users. openclaw/hermes agents typically run in cloud
docker containers with their own gbrain; "sharing" a brain between them and
local Claude Code is only possible through shared Postgres (Supabase).
## User-invocable
When the user types `/setup-gbrain`, run this skill. Three shortcut modes:
- `/setup-gbrain` — full flow (default)
- `/setup-gbrain --repo` — only flip the per-remote policy for the current repo
- `/setup-gbrain --switch` — only migrate the engine (PGLite ↔ Supabase)
- `/setup-gbrain --resume-provision <ref>` — re-enter a previously interrupted
Supabase auto-provision at the polling step
- `/setup-gbrain --cleanup-orphans` — list + delete in-flight Supabase projects
Parse the invocation args yourself — these are prose hints to the skill, not
implemented as a dispatcher binary.
---
{{SECTION_INDEX:setup-gbrain}}
---
## Step 1: Detect current state
```bash
~/.claude/skills/gstack/bin/gstack-gbrain-detect
```
Capture the JSON output. It contains: `gbrain_on_path`, `gbrain_version`,
`gbrain_config_exists`, `gbrain_engine`, `gbrain_doctor_ok`, `gbrain_mcp_mode`,
`gstack_brain_sync_mode`, `gstack_brain_git`, `gstack_artifacts_remote`, and
the v1.34.0.0+ `gbrain_local_status` field (one of: `ok`, `no-cli`,
`missing-config`, `broken-config`, `broken-db`, `engine-locked`, `timeout`,
`thin-client`). Treat `timeout` like `ok` (slow-but-healthy engine, #1964) — it
never triggers Step 1.5 remediation. Treat `thin-client` like `ok` too (#2051):
the machine is a thin client of a remote-HTTP MCP brain, no local engine by
design — brain-aware blocks render, and the detect JSON carries
`gbrain_thin_client: {probed: false}` (config verified; remote reachability
is checked at use time, where gbrain calls degrade gracefully).
Skip downstream steps that are already done. Report the detected state in
one line so the user knows what you found:
> "Detected: gbrain v0.18.2 on PATH, engine=postgres, doctor=ok,
> sync=artifacts-only. Nothing to install; jumping to the policy check."
Branch on the `--repo`, `--switch`, `--resume-provision`, `--cleanup-orphans`
invocation flags here and skip to the matching step.
---
## Step 1.5: Broken-local-engine remediation (plan D4)
Read `gbrain_local_status` from the Step 1 detect output. **If it's `broken-db`
or `broken-config` AND no shortcut flag was passed**, the user has a
non-working local engine — run the remediation below BEFORE Step 2.
For `gbrain_local_status` values of `no-cli` or `missing-config`, do NOT fire
Step 1.5 — fall through to Step 2 (where `no-cli` triggers Step 3 install and
`missing-config` triggers Step 4 init). Do not read the remediation section in
that case.
{{SECTION:engine-remediation}}
---
## Step 1.7: Code-intelligence provider choice (Step 0 of indexing)
You are INSIDE /setup-gbrain: the user asked for gbrain by name, so the
provider question is already answered. NEVER ask it here, and never let this
step delay or derail the actual setup. Record the choice best-effort, then
continue immediately with Step 2:
```bash
[ -f ~/.claude/skills/gstack/bin/gstack-code-intelligence ] \
&& bun ~/.claude/skills/gstack/bin/gstack-code-intelligence select gbrain 2>/dev/null \
|| true
```
The offer ceremony below applies ONLY when this skill is reached from another
entry point where no provider was named (a routing skill exploring indexing
options). Even then:
- `"offer": false` with reason `bin-absent` → the installed gstack predates
the code-intelligence CLI. Skip this step entirely and continue with the
skill — the user asked for gbrain, so set up gbrain. Never block setup on
a missing optional gate.
- `"offer": false` with reason `small-repo` → grep is already fast here; say
so in one line and continue with this skill only if the user asked for
gbrain by name.
- `"offer": false` with reason `provider-selected` or `declined` → the
machine-wide question was already answered; apply it silently and continue.
- `"offer": true` → present the returned options ONCE via AskUserQuestion:
**GBrain** (recommended — semantic memory + code, sends repo content to
YOUR gbrain DB, per-repo consent), **Sourcebot** (self-hosted whole-repo
search, local when on localhost), **Graphify** (local tree-sitter graph,
nothing leaves the machine, user installs it), or **No indexing**. Record
the choice: `gstack-code-intelligence select <provider|none>` — `none`
persists the decline so NO skill ever asks again, on any repo
(re-enable: `gstack-code-intelligence select <provider>`). Local-compute
and remote-send providers are separate consents — never bundle them.
- Per-repo send consent (GBrain/Sourcebot) is recorded with
`gstack-code-intelligence consent <repo> yes|no` and is ALWAYS vetoed by a
`deny` tier in gstack-gbrain-repo-policy — the trust store is the single
authority for whether code leaves a repo.
If the user picked GBrain (or asked for this skill directly), continue below.
If they picked Sourcebot/Graphify, run `gstack-code-intelligence index <repo>`
and stop — the rest of this skill is gbrain-specific.
## Step 2: Pick a path (AskUserQuestion)
Only fire this if Step 1 shows no existing working config AND no shortcut
flag was passed. **Special case:** if `gbrain_mcp_mode=remote-http` in the
detect output, an HTTP MCP is already registered — skip directly to Step 5a
verification (re-test the registration) and Step 6 onward, treating this run
as idempotent. Don't ask Step 2 again.
The question title: "Where should your brain live?"
Options (present based on detected state):
- **1 — Supabase, I already have a connection string.** Cloud-agent users
whose openclaw/hermes provisioned one already. Paste the Session Pooler
URL from the Supabase dashboard (Settings → Database → Connection Pooler
→ Session). *Trust-surface caveat to include in the prompt:* "Pasting this
URL gives your local Claude Code full read/write access to every page your
cloud agent can see. If that's not the trust level you want, pick PGLite
local instead and accept the brains are disjoint."
- **2a — Supabase, auto-provision a new project.** You'll need a Supabase
Personal Access Token (~90 seconds). Best choice for a shared team brain.
- **2b — Supabase, create manually.** Walk through supabase.com signup
yourself; paste the URL back when ready.
- **3 — PGLite local.** Zero accounts, ~30 seconds. Isolated brain on this
Mac only. Best for try-first.
- **4 — Remote gbrain MCP.** Someone else (or another machine of yours) is
already running `gbrain serve` with HTTP transport. You paste the MCP URL
+ a bearer token; this skill registers it as your MCP. No local brain DB,
no local install needed. Recommended when the brain is shared across
machines or run by a teammate.
- **Switch** (only if Step 1 detected an existing engine): "You already have
a `<engine>` brain. Migrate it to the other engine?" → runs
`gbrain migrate --to <other>` wrapped in `timeout 180s` (D9).
Do NOT silently pick; fire the AskUserQuestion.
---
## Step 3: Install gbrain CLI (if missing)
**SKIP entirely on Path 4 (Remote MCP).** Path 4 doesn't need a local gbrain
binary — all calls go through MCP to the remote server. Jump to Step 4 (the
Path 4 subsection).
For Paths 1, 2a, 2b, 3, switch — only if `gbrain_on_path=false`:
```bash
~/.claude/skills/gstack/bin/gstack-gbrain-install
```
The installer runs D5 detect-first (probes `~/git/gbrain`, `~/gbrain` first),
then D19 PATH-shadow validation (post-link `gbrain --version` must match
install-dir `package.json`). On D19 failure the installer exits 3 with a
clear remediation menu; surface the full output to the user and STOP. Do not
continue the skill — the environment is broken until the user fixes PATH.
---
## Step 4: Initialize the brain
Path-specific. The init procedure for the path picked in Step 2 — Paths 1, 2a,
2b, 3, 4 (4a-4e), and the Switch migration flow — lives in the brain-init
section. Run ONLY the sub-section for the picked path.
{{SECTION:brain-init}}
---
## Step 5: Verify gbrain doctor
**SKIP entirely on Path 4 (Remote MCP).** The brain host runs its own
doctor; we don't have local DB access to introspect. Step 4c's verify
round-trip already proved the server is reachable, authed, and on a
compatible MCP version.
For Paths 1, 2a, 2b, 3, switch:
```bash
doctor=$(gbrain doctor --json)
status=$(echo "$doctor" | jq -r .status)
```
If status is `ok` or `warnings`, proceed. Anything else → surface the full
doctor output and STOP.
---
## Step 5a: Register gbrain as Claude Code MCP (D18)
Only if `which claude` resolves. Ask: "Give Claude Code a typed tool surface
for gbrain? (recommended yes)"
The registration form depends on the path picked in Step 2:
### Path 4 (Remote MCP — HTTP transport with bearer)
Tear down any prior registration (could be local-stdio from an old setup,
or stale remote-http with a rotated token), then register with HTTP +
bearer at user scope:
```bash
claude mcp remove gbrain -s user 2>/dev/null || true
claude mcp remove gbrain 2>/dev/null || true
claude mcp add --scope user --transport http gbrain "$MCP_URL" \
--header "Authorization: Bearer $GBRAIN_MCP_TOKEN"
unset GBRAIN_MCP_TOKEN # zero from process env after registration
claude mcp list | grep gbrain # verify: should show "✓ Connected"
```
**Token-storage note:** `claude mcp add --header "Authorization: Bearer ..."`
puts the bearer on argv during process startup, briefly visible to `ps` for
~10ms. The token's resting state is `~/.claude.json` (mode 0600 — Claude
Code's own credential surface for every MCP server). This trade-off is
documented in `setup-gbrain/memory.md`. If a future Claude Code release adds
a stdin or env-var input form for headers, switch to that.
### Paths 1, 2a, 2b, 3 (Local stdio)
Register at **user scope** with an **absolute path** to the gbrain
binary. User scope makes the MCP available in every Claude Code session on
this machine, not just the current workspace. Absolute path avoids PATH
resolution issues when Claude Code spawns `gbrain serve` as a subprocess.
```bash
GBRAIN_BIN=$(command -v gbrain)
[ -z "$GBRAIN_BIN" ] && GBRAIN_BIN="$HOME/.bun/bin/gbrain"
claude mcp remove gbrain -s user 2>/dev/null || true
claude mcp remove gbrain 2>/dev/null || true
claude mcp add --scope user gbrain -- "$GBRAIN_BIN" serve
claude mcp list | grep gbrain # verify: should show "✓ Connected"
```
### Both paths
If `claude` is not on PATH: emit "MCP registration skipped — this skill is
Claude-Code-targeted; register `gbrain serve` (or your remote MCP URL) in
your agent's MCP config manually." Continue to step 6.
**Heads-up for the user:** an already-open Claude Code session will not
pick up the new MCP tools until restart. Tell them: "Restart any open
Claude Code sessions to see `mcp__gbrain__*` tools — they're loaded at
session start, not mid-session."
---
## Step 6: Per-remote policy (D3 triad, gated repo-import)
If we're in a git repo with an `origin` remote, check the policy:
```bash
current_tier=$(~/.claude/skills/gstack/bin/gstack-gbrain-repo-policy get)
```
Branches:
- `read-write` → import this repo: `gbrain import "$(pwd)" --no-embed` then
`gbrain embed --stale &` in the background.
- `read-only` → skip import entirely (this tier is enforced by the future
auto-import hook + by gbrain resolver injection, not here).
- `deny` → do nothing.
- `unset` → AskUserQuestion: "How should `<normalized-remote>` interact with
gbrain?"
- `read-write` — agent can search AND write new pages from this repo
- `read-only` — agent can search but never write
- `deny` — no interaction at all
- `skip-for-now` — don't persist, ask next time
On answer (other than skip-for-now):
```bash
~/.claude/skills/gstack/bin/gstack-gbrain-repo-policy set "$REMOTE" "$TIER"
```
Then import iff `read-write`.
If outside a git repo OR no origin remote: skip this step with a note.
For `/setup-gbrain --repo` invocations, execute ONLY Step 6 and exit.
---
## Step 7: Offer artifacts sync + wire it into gbrain
Renamed from "session memory sync" in v1.27.0.0 — the on-disk concept is
artifacts (CEO plans, designs, /investigate reports, retros) rather than
"session memory," which was a confusing name for what was always a
human-readable artifact bucket. Behavioral transcript ingest is its own
step (7.5) with its own option set.
Separate AskUserQuestion: "Also sync your gstack artifacts (CEO plans,
designs, reports, retros) to a private git repo that gbrain can index
across machines?"
Options:
- Yes, full sync (everything allowlisted)
- Yes, artifacts-only (plans, designs, retros — skip behavioral data)
- No thanks
If yes, run the artifacts-init helper. It asks the user to pick a git host
(GitHub via `gh`, GitLab via `glab`, or paste a URL manually), creates
`gstack-artifacts-$USER` (private), and writes the canonical HTTPS URL to
`~/.gstack-artifacts-remote.txt`. Pass `--url-form-supported` from Step 4c's
verify output (Path 4) or `false` (Paths 1/2/3 — local mode doesn't probe):
```bash
URL_FORM=${URL_FORM_SUPPORTED:-false}
~/.claude/skills/gstack/bin/gstack-artifacts-init --url-form-supported "$URL_FORM"
~/.claude/skills/gstack/bin/gstack-config set artifacts_sync_mode artifacts-only
# or "full" if user picked yes-full
```
`gstack-artifacts-init` always prints a "Send this to your brain admin" block
at the end with the exact `gbrain sources add` command. Per codex Finding #3:
the skill never auto-executes server-side gbrain commands; even if the user
IS the brain admin, copy-pasting the printed command is the consistent UX.
### Path 4 (Remote MCP) — done after artifacts-init
In remote mode, the local `gstack-gbrain-source-wireup` helper does NOT run
(it shells out to a local `gbrain` CLI which Path 4 doesn't install). The
brain admin runs the printed command on the brain host instead. Skip to Step 7.5.
### Paths 1, 2a, 2b, 3 (Local stdio) — wire up the federated source
Then wire the artifacts repo into gbrain so its content is searchable from
any gbrain client. The helper creates a `git worktree` of `~/.gstack/`,
registers it as a federated source via `gbrain sources add --path
--federated`, and runs an initial `gbrain sync`. Local-Mac only.
Capture the database URL out of `~/.gbrain/config.json` first and pass it
explicitly so the wireup is robust against any other process rewriting
`~/.gbrain/config.json` mid-sync (e.g., concurrent `gbrain init` runs
elsewhere on the machine):
```bash
GBRAIN_URL=$(python3 -c "
import json, os, sys
try:
c = json.load(open(os.path.expanduser('~/.gbrain/config.json')))
print(c.get('database_url', ''))
except Exception:
pass
")
~/.claude/skills/gstack/bin/gstack-gbrain-source-wireup --strict \
${GBRAIN_URL:+--database-url "$GBRAIN_URL"}
```
`--strict` exits non-zero on missing prereqs (gbrain not installed, < 0.18.0,
or no `~/.gstack/.git` yet) so the user sees the failure rather than silently
ending up with an unwired brain. On non-zero exit, surface the helper's
output and STOP per skill rules — search-across-machines won't work until
the prereq is fixed.
---
## Step 7.5: Transcript & memory ingest gate
**SKIP entirely on Path 4 (Remote MCP).** Transcript ingest shells out to
the local `gbrain` CLI which Path 4 doesn't install. Remote-mode users
rely on the brain server's own ingest cadence — if your brain admin wants
this machine's transcripts indexed, they pull from your `gstack-artifacts-$USER`
repo (set up in Step 7) on whatever schedule they prefer. Set
`gstack-config set transcript_ingest_mode off` and continue to Step 8.
For Paths 1, 2a, 2b, 3, run the ingest gate:
{{SECTION:transcript-gate}}
---
## Step 8: Persist `## GBrain Configuration` in CLAUDE.md
CLAUDE.md is the audit trail: after a successful setup, persist the
configuration block. The exact block formats (remote-http vs local-stdio) and
the post-Step-9 Search Guidance write live in the claude-md-persist section.
{{SECTION:claude-md-persist}}
---
## Step 9: Smoke test
### Path 4 (Remote MCP)
The `mcp__gbrain__*` tools aren't visible mid-session — they're loaded at
Claude Code session start. So the live smoke test in this same skill run is
informational: print the curl-equivalent the user can run after restarting
Claude Code. The verify round-trip in Step 4c already proved the server is
reachable + authed + on a compatible MCP version, so we don't re-test that.
Print to stdout:
```
After restarting Claude Code, the `mcp__gbrain__*` tools become callable.
Smoke test: ask the agent to run `mcp__gbrain__search` with any query
("test page" works). You should see a JSON list of pages.
To verify from the shell right now (without waiting for restart):
curl -s -X POST -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-H 'Authorization: Bearer <YOUR_TOKEN>' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' \
<YOUR_MCP_URL>
```
Do NOT print the actual token in the curl command — leave the placeholder
`<YOUR_TOKEN>` so the snippet is safe to copy into chat / share.
### Paths 1, 2a, 2b, 3 (Local stdio)
```bash
SLUG="setup-gbrain-smoke-test-$(date +%s)"
echo "Set up on $(date). Smoke test for /setup-gbrain." | gbrain put "$SLUG"
gbrain search "smoke test" | grep -i "$SLUG"
```
Confirms the round trip. On failure, surface `gbrain doctor --json` output
and STOP with a NEEDS_CONTEXT escalation.
---
## Step 9.5: Brain trust policy (v1.48 brain-aware planning, D4 / Phase 1.5)
The brain trust policy controls whether gstack auto-pushes `~/.gstack/`
artifacts and writes calibration takes back to this brain. It's per-
endpoint: a user with both a local PGLite (personal) and a team remote
MCP (shared) gets both policies tracked separately.
Detect the active endpoint hash + current policy:
```bash
_HASH=$(~/.claude/skills/gstack/bin/gstack-config endpoint-hash 2>/dev/null)
_POLICY=$(~/.claude/skills/gstack/bin/gstack-config get brain_trust_policy@$_HASH 2>/dev/null || echo unset)
echo "ENDPOINT_HASH: $_HASH"
echo "BRAIN_TRUST_POLICY: $_POLICY"
```
Branch on transport + current policy:
**If `_POLICY` is `personal` or `shared`:** policy already set. Print
"Trust policy for this endpoint: $_POLICY" and skip to Step 10.
**If `_POLICY` is `unset` AND `_HASH == "local"`:** auto-set personal
(local engines are inherently single-tenant). No AskUserQuestion.
```bash
~/.claude/skills/gstack/bin/gstack-config set brain_trust_policy@$_HASH personal
echo "Trust policy auto-set to 'personal' for local PGLite (single-tenant by construction)."
```
**If `_POLICY` is `unset` AND `_HASH != "local"` (remote MCP):** ask the
trust policy question via AskUserQuestion:
> The brain at this MCP endpoint — is it your personal brain or a
> shared/team brain?
>
> Personal: gstack auto-pushes ~/.gstack/ artifacts (CEO plans, design
> docs, retros, learnings) and writes calibration takes back as you make
> decisions. Your brain gets smarter every session. Pick this if you
> alone set up this brain.
>
> Shared/team: read-only by default. gstack reads context but prompts
> before any write. Safer for brains where your individual takes
> shouldn't pollute the shared corpus.
Options:
- A) Personal (recommended for self-hosted remote brains)
- B) Shared/team
After answer, persist:
```bash
~/.claude/skills/gstack/bin/gstack-config set brain_trust_policy@$_HASH <personal|shared>
```
If `personal` was selected AND `artifacts_sync_mode` is still `off`, also
default it to `full` (D4 auto-push convention):
```bash
_CURRENT_SYNC=$(~/.claude/skills/gstack/bin/gstack-config get artifacts_sync_mode 2>/dev/null || echo off)
if [ "$_CURRENT_SYNC" = "off" ]; then
~/.claude/skills/gstack/bin/gstack-config set artifacts_sync_mode full
echo "artifacts_sync_mode auto-set to 'full' (personal brain default)."
fi
```
Backwards compat: existing users whose `artifacts_sync_mode_prompted` is
already `true` keep their answer; this gate only fires for new endpoints
or first-time-after-upgrade users.
## Step 10: GREEN/YELLOW/RED verdict block (idempotent doctor output)
After Steps 1-9 complete, summarize. Re-running `/setup-gbrain` on a
configured Mac is a first-class doctor path: every step detects existing
state, repairs only what's missing, and reports here.
```bash
~/.claude/skills/gstack/bin/gstack-gbrain-detect 2>/dev/null || true
~/.claude/skills/gstack/bin/gstack-config get transcript_ingest_mode 2>/dev/null || echo "off"
~/.claude/skills/gstack/bin/gstack-config get artifacts_sync_mode 2>/dev/null || echo "off"
[ -f ~/.gstack/.gbrain-sync-state.json ] && cat ~/.gstack/.gbrain-sync-state.json || echo "{}"
```
Read `gbrain_mcp_mode` from the detect output and pick the right verdict
template. Each row is `[OK]/[FIX]/[WARN]/[ERR]`.
### Path 4 (Remote MCP)
```
gbrain status: GREEN (mode: remote-http)
MCP ............. OK {SERVER_NAME} v{SERVER_VERSION} at {MCP_URL}
Auth ............ OK bearer accepted (verified via /tools/list)
Engine .......... N/A remote mode
Doctor .......... N/A remote mode (brain admin runs `gbrain doctor`)
Repo policy ..... OK {read-write|read-only|deny}
Artifacts repo .. OK {gstack_artifacts_remote URL}
Artifacts sync .. OK {artifacts_sync_mode}
Transcripts ..... OK route to artifacts repo → remote brain (plan D11)
Code search ..... {OK local-pglite (~/.gbrain/pglite) | N/A declined at Step 4d}
CLAUDE.md ....... OK
Smoke test ...... INFO printed for post-restart manual verification
Restart Claude Code to pick up the `mcp__gbrain__*` tools.
Re-run `/setup-gbrain` any time the bearer rotates or the URL moves.
```
The **Code search** row reflects the choice at Step 4d:
- If user picked A (Yes): `OK local-pglite` and `gbrain_local_status == "ok"` going forward.
- If user picked B (No): `N/A declined at Step 4d` — `gstack-config set local_code_index_offered true` to silence future migration notices.
The **Transcripts** row changed in v1.34.0.0: in remote-http mode,
gstack-memory-ingest now persists staged transcripts to
`~/.gstack/transcripts/run-<pid>-<ts>/` and gstack-brain-sync pushes them
to the artifacts repo. Brain admin's pull job indexes into the remote brain.
Local PGLite (when present) stays code-only — no transcript pollution.
### Paths 1, 2a, 2b, 3 (Local stdio)
```
gbrain status: GREEN (mode: local-stdio)
CLI ............. OK <gbrain version>
Engine .......... OK <pglite|supabase> at <path>
doctor .......... OK
MCP ............. OK registered (user scope)
Repo policy ..... OK <read-write|read-only|deny>
Code import ..... OK <last_imported_head>
Artifacts sync .. OK <artifacts_sync_mode> to <remote>
Transcripts ..... OK <N> sessions, last ingest <when>
CLAUDE.md ....... OK
Smoke test ...... OK put → search → delete round-trip
Run `/setup-gbrain` again any time gbrain feels off; it's safe and idempotent.
```
If any row is YELLOW or RED, the verdict line says so and the failing rows
surface a one-line "next action" (e.g.,
`Engine .......... ERR PGLite corrupt — run \`gbrain restore-from-sync\` (V1.5)`).
For V1, restore-from-sync is a V1.5 P0 cross-repo TODO; until it ships,
the user's brain remote (with brain-sync enabled) holds curated artifacts
as markdown + git, recoverable manually via `gbrain import` from a clone.
---
## `/setup-gbrain --cleanup-orphans` (D20)
Re-collect a PAT (show the Path 2a PAT scope disclosure — it lives in the
brain-init section; read that section if it isn't already loaded), then:
```bash
# List user's Supabase projects (user has to pipe this through their own
# shell to review; we don't rely on a stored PAT).
export SUPABASE_ACCESS_TOKEN="<collected from read_secret_to_env>"
projects=$(curl -s -H "Authorization: Bearer $SUPABASE_ACCESS_TOKEN" \
https://api.supabase.com/v1/projects)
```
Parse the response, identify any project named starting with `gbrain` whose
`ref` doesn't match the user's active `~/.gbrain/config.json` pooler URL.
For each orphan, AskUserQuestion per project: "Delete orphan project
`<ref>` (`<name>`, created `<created_at>`)?" — NEVER batch; per-project
confirm is a one-way door.
On confirmed delete:
```bash
curl -s -X DELETE -H "Authorization: Bearer $SUPABASE_ACCESS_TOKEN" \
https://api.supabase.com/v1/projects/$REF
```
Never delete the active brain without a second explicit confirmation.
At end: `unset SUPABASE_ACCESS_TOKEN`. Revocation reminder.
---
## Telemetry (D4)
The preamble's Telemetry block logs skill success/failure at exit. When
emitting the event, add these enumerated categorical values to the
telemetry payload (SAFE — no free-form secrets, never the URL or PAT):
- `scenario`: `supabase-existing` | `supabase-auto-provision` |
`supabase-manual` | `pglite-local` | `switch-to-supabase` |
`switch-to-pglite` | `repo-flip-only` | `cleanup-orphans` |
`resume-provision`
- `install_performed`: `yes` | `no` (D5 reuse) | `skipped` (pre-existing)
- `mcp_registered`: `yes` | `no` | `claude-missing`
- `trust_tier_set`: `read-write` | `read-only` | `deny` |
`skip-for-now` | `n/a` (outside git repo)
Never pass `SUPABASE_ACCESS_TOKEN`, `DB_PASS`, `GBRAIN_POOLER_URL`,
`GBRAIN_DATABASE_URL`, or any `postgresql://` substring to the telemetry
invocation. The CI grep test in `test/skill-validation.test.ts` enforces
this at build time.
---
## Important Rules
- **One rule for every secret.** PAT, DB_PASS, pooler URL: env-var only,
never argv, never logged, never persisted to disk by us. The only file
that holds the pooler URL long-term is `~/.gbrain/config.json`, written
by gbrain's own `init` at mode 0600 — that's gbrain's discipline, not
ours.
- **STOP points are hard.** Gbrain doctor not healthy, D19 PATH shadow, D9
migrate timeout, smoke test failure — each is a STOP. Do not paper over.
- **Concurrent-run lock.** At skill start, create the parent before acquiring
the lock atomically. Keep mkdir's error output; missing parents and filesystem
failures are not evidence of a competing run:
```bash
if ! mkdir -p ~/.gstack; then
echo "ERROR: Cannot create setup-gbrain lock parent ~/.gstack." >&2
exit 1
fi
if ! mkdir ~/.gstack/.setup-gbrain.lock.d; then
if [ -d ~/.gstack/.setup-gbrain.lock.d ]; then
echo "Another /setup-gbrain instance is running. Wait for it, or remove ~/.gstack/.setup-gbrain.lock.d only if you are sure it is stale." >&2
else
echo "ERROR: Cannot acquire setup-gbrain lock." >&2
fi
exit 1
fi
```
Release the acquired lock on normal exit AND in the SIGINT trap.
- **CLAUDE.md is the audit trail.** Always update it in Step 8 after a
successful setup.