* feat: add surface-aware exploratory QA and ship documentation gates * test: preserve delegated QA setup authority after main integration * fix(qa): clarify exploration order and preserve report artifacts * test(qa): follow the shared setup reference directly * refactor(ship): make verification and recovery routes explicit * test(ship): align evidence and review guards with explicit routes * fix(workflows): clarify ship recovery and functional QA evidence * fix(workflows): clarify approval recovery and full QA coverage * refactor(workflows): order review transactions and clarify ship state * fix(ship): clarify final verification and fail closed at publication * fix(evals): attribute native atomic documentation writes * fix(ship): clarify recovery and documentation lifecycle guidance * fix(test): preserve observed native placeholder styling in CI * fix(codex): report watchdog timeouts without a process-exit race * Checkpoint functional QA implementation and workflow validation repairs * Fix documentation and shared-review fixture contracts * docs: clarify judge reuse and evaluation supervision * test: align review evidence and selected case contracts * test: verify append-only documentation checkpoints and recovery * fix: qualify QA workflows and CI validation repairs * fix: launch shared-libs fixture scripts on Windows * fix: qualify QA deadlines, fixture isolation, and shard cleanup * fix: preserve qualified QA and cancellation repairs * fix: enforce functional fixture authority and share strict event decoding * fix: retain free-test evidence and explain recovery * fix: reject malformed native evidence after decoder consolidation * test: use reliable capture for telemetry privacy filters * test: refresh measured quick coverage and document validation costs * Fix native fixture receipts and preserve VM validation evidence * Align negative judge controls with upstream clarity policy * Fix report-only QA preparation and public evidence handling * Clarify QA-only preparation and current-report preservation * Stream Ship quality judgments with an explicit 64k response contract * Validate compact judge reasoning locally with supported wire schema * Align functional QA fixture instructions with evidence acceptance * Bind native browser diagnostics to execution evidence and align review verdicts * Preserve native diagnostic line boundaries * Serialize functional QA evidence from native captures * Keep large QA evidence fixture payload out of Windows argv
8.8 KiB
gstack x OpenClaw Integration
gstack integrates with OpenClaw as a methodology source, not a ported codebase. OpenClaw's ACP runtime spawns Claude Code sessions natively. gstack provides the planning discipline and methodology that makes those sessions better.
This is a lightweight protocol encoded as prompt text. No daemon. No JSON-RPC. No compatibility matrices. The prompt is the bridge.
Architecture
OpenClaw gstack repo
───────────────────── ──────────────
Orchestrator: messaging, Source of truth for
calendar, memory, EA methodology + planning
│ │
├── Native skills (conversational) ├── Generates native skills
│ office-hours, ceo-review, │ via gen-skill-docs pipeline
│ investigate, retro │
│ ├── Generates gstack-lite
├── sessions_spawn(runtime: "acp") │ (planning discipline)
│ │ │
│ └── Claude Code ├── Generates gstack-full
│ └── gstack installed at │ (complete pipeline)
│ ~/.claude/skills/gstack │
│ └── docs/OPENCLAW.md (this file)
└── Dispatch routing (AGENTS.md)
Dispatch Routing
OpenClaw decides at spawn time which tier of gstack support to use:
| Tier | When | Prompt prefix |
|---|---|---|
| Simple | One-file edits, typos, config changes | No gstack context injected |
| Medium | Multi-file features, refactors | gstack-lite CLAUDE.md appended |
| Heavy | Specific gstack skill needed | "Load gstack. Run /X" |
| Full | Complete features, objectives, projects | gstack-full pipeline appended |
| Plan | "Help me plan a Claude Code project" | gstack-plan pipeline appended |
Decision heuristic
- Can it be done in <10 lines of code? -> Simple
- Does it touch multiple files but the approach is obvious? -> Medium
- Does the user name a specific skill (/cso, /review, /qa)? -> Heavy
- Is it a feature, project, or objective (not a task)? -> Full
- Does the user want to PLAN something for Claude Code without implementing yet? -> Plan
Dispatch routing guide (for AGENTS.md)
The complete ready-to-paste section lives in openclaw/agents-gstack-section.md.
Copy it into your OpenClaw AGENTS.md.
Key behavioral rules (these go ABOVE the dispatch tiers):
- Always spawn, never redirect. When the user asks to use ANY gstack skill, ALWAYS spawn a Claude Code session. Never tell the user to open Claude Code.
- Resolve the repo. If the user names a repo, set the working directory. If unknown, ask which repo.
- Autoplan runs end-to-end. Spawn, let it run the full pipeline, report back in chat. User should never have to leave Telegram.
CLAUDE.md collision handling
When spawning Claude Code in a repo that already has a CLAUDE.md, APPEND gstack-lite/full as a new section. Do not replace the repo's existing instructions.
What gstack generates for OpenClaw
All artifacts live in the openclaw/ directory and are generated by
bun run gen:skill-docs --host openclaw:
gstack-lite (Medium tier)
openclaw/gstack-lite-CLAUDE.md — ~15 lines of planning discipline:
- Read every file before modifying
- Write a 5-line plan: what, why, which files, test case, risk
- Resolve ambiguity using decision principles
- Self-review before reporting done
- Completion report: what shipped, decisions made, anything uncertain
A/B tested: 2x time, meaningfully better output.
gstack-full (Full tier)
openclaw/gstack-full-CLAUDE.md — chains existing gstack skills:
- Read CLAUDE.md and understand the project
- Run /autoplan (CEO + eng + design review)
- Implement the approved plan
- Run /ship to create a PR
- Report back with PR URL and decisions
gstack-plan (Plan tier)
openclaw/gstack-plan-CLAUDE.md — full review gauntlet, no implementation:
- Run /office-hours to produce a design doc
- Run /autoplan (CEO + eng + design + DX reviews + codex adversarial)
- Save the reviewed plan to
plans/<project-slug>-plan-<date>.md - Report back: plan path, summary, key decisions, recommended next step
The orchestrator persists the plan link to its own memory store (brain repo, knowledge base, or whatever is configured in AGENTS.md). When the user is ready to build, spawn a FULL session that references the saved plan.
Native methodology skills
Published to ClawHub. Install with clawhub install:
gstack-openclaw-office-hours— Product interrogation (6 forcing questions)gstack-openclaw-ceo-review— Strategic challenge (10-section review, 4 modes)gstack-openclaw-investigate— Operational debugging (4-phase methodology)gstack-openclaw-retro— Operational retrospective (weekly review)
Source lives in openclaw/skills/ in the gstack repo. These are hand-crafted
adaptations of the gstack methodology for OpenClaw's conversational context.
No gstack infrastructure (no browser, no telemetry, no preamble).
Spawned session detection
When Claude Code runs inside a session spawned by OpenClaw, the OPENCLAW_SESSION
environment variable should be set. gstack detects this and adjusts:
- Skips interactive prompts (auto-chooses recommended options; destructive or irreversible options are never auto-chosen — the conservative choice wins and gets recorded in the completion report)
- Suppresses interactive-onboarding instruction blocks at emission (upgrade checks, telemetry prompts, feature discovery, routing injection, tips), so one-time prompts survive intact for the next human session
- Suppresses the Conductor prose signal (
CONDUCTOR_SESSION: true) — a spawned session inside a Conductor workspace auto-chooses instead of rendering prose to nobody - Focuses on task completion and prose reporting
Set the env var in sessions_spawn: env: { OPENCLAW_SESSION: "1" }
Explicit override: GSTACK_SESSION_KIND
GSTACK_SESSION_KIND=spawned is the explicit per-command marker for the same
classification, outranking every ambient env marker (including
OPENCLAW_SESSION and GSTACK_HEADLESS). It exists because Claude Code
subagents inherit the parent session's env byte-for-byte (#2733) — a
dispatching skill marks its subagent by prefixing the preamble invocation on
the same command line:
GSTACK_SESSION_KIND=spawned "$_SS" --skill "document-release" ...
gstack itself uses this: /ship Step 14.5 dispatches the /document-release
subagent with this prefix before final commit, verification and publication.
Its ship-owned scope overrides generic spawned auto-choice: risky or uncertain
documentation changes return as blockers for the parent, without interactive
questions or automatic approval. Deliberately narrow: only spawned is honored — headless
already has GSTACK_HEADLESS, and letting an env var force interactive
over CI markers would be a misclassification footgun. Empty or other values
are reserved and ignored (fall through to ambient detection). Note that hook
processes inherit the harness env, so a per-command prefix never reaches
PreToolUse/PostToolUse hooks — the hook texts carry a spawned escape sentence
for that topology (hosts/claude/hooks/spawned-directive.ts).
Tamper visibility. Any mechanism that injects session-wide env (a cloned
repo's .claude/settings.json env block, direnv, a CI wrapper) could set
GSTACK_SESSION_KIND=spawned for a real human's session and silently flip
its confirmation gates to auto-choose. When the env override drives the
classification, the preamble emits a loud SPAWNED_OVERRIDE: env status line
so the transcript shows WHY the session is spawned — audit
.claude/settings.json env blocks in untrusted repos (/cso covers this).
Installation
For OpenClaw users: tell your OpenClaw agent "install gstack for openclaw."
The agent should:
- Install gstack-lite CLAUDE.md into its coding session templates
- Install the 4 native methodology skills
- Add dispatch routing to AGENTS.md
- Verify with a test spawn
For gstack developers: ./setup --host openclaw outputs this documentation.
The actual artifacts are generated by bun run gen:skill-docs --host openclaw.
What we don't do
- No dispatch daemon (ACP handles session spawning)
- No Clawvisor relay (no security layer needed)
- No bidirectional learnings bridge (brain repo is the knowledge store)
- No JSON schemas or protocol versioning
- No SOUL.md from gstack (OpenClaw has its own)
- No full skill porting (coding skills stay native to Claude Code)