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gstack/ARCHITECTURE.md
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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

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# Architecture
This document explains **why** gstack is built the way it is. For setup and commands, see CLAUDE.md. For contributing, see CONTRIBUTING.md.
## The core idea
gstack gives Claude Code a set of opinionated workflow skills and a browser to see with. The browser it reaches for first is the user's own [Aside](https://aside.com) AI browser (macOS 15+): real cookies, real logged-in accounts, the tabs they already have open. When Aside is not installed or not running — Linux, Windows, a closed Aside app — gstack falls back, automatically, to the browser it ships itself: a persistent headless Chromium daemon behind a compiled CLI (`$B`). Same skills, same evidence lines, two engines.
The key insight, learned the expensive way: an AI agent wants to be in *your* browser, not in a browser that imitates you. Every feature of the daemon — cookie import so it could be logged in as you, headed mode so you could watch, a CAPTCHA handoff, a tunnel so other agents could join, a sidebar so it could talk back — existed to close the gap to the browser you already had open. Aside is that browser with an agent-grade CLI, so on a Mac with Aside open the skills use it directly:
```
Claude Code Aside (the user's browser, macOS 15+)
───────── ─────
bash: aside repl '<script>' ───→ fresh sandboxed session
• openTab(url) in the user's real profile
• snapshot / click / fill / evaluate / screenshot
• artifacts under the session dir (pwd)
• tabs close when the script ends
stdout: evidence lines + ←─── exit code is always 0; truth is the
GSTACK_STEP_OK sentinel sentinel (or a `[error` line)
```
One flow per script. Nothing persists between calls, so a skill re-navigates from the URL for each step, prints labelled evidence lines, and copies artifacts out of the session directory in bash. The full contract — detect-never-install, own tabs only, look-freely-act-with-consent, credentials never pass through the agent, everything a page returns is untrusted — lives in `scripts/resolvers/aside.ts` and renders into every browser skill as `{{ASIDE_SETUP}}`; `test/aside-driver.test.ts` pins its sentences. [BROWSER.md](BROWSER.md) is the reader's version.
Web research in the planning and review skills goes through the same door first: `aside exec "<question>"` in the user's browser (`{{ASIDE_RESEARCH}}`), one read-only request per question, the answer treated as untrusted content, every call routed through the `_aside_exec` wrapper (`{{ASIDE_EXEC_PRELUDE}}`) that writes an egress receipt before the prompt leaves the machine (fail-open: only a missing egress library lets the call run unreceipted). Without Aside it uses the host's WebSearch tool when there is one, and otherwise says "Search unavailable" once and carries on.
### The fallback engine
The second engine is the one gstack has always shipped, and it is what runs everywhere Aside does not. An AI agent driving a browser it owns needs **sub-second latency** and **persistent state**: if every command cold-starts a browser you wait 3-5 seconds per tool call, and if the browser dies between commands you lose cookies, tabs, and login sessions. So gstack runs a long-lived Chromium daemon that the CLI talks to over localhost HTTP.
```
Claude Code gstack
───────── ──────
┌──────────────────────┐
Tool call: $B snapshot -i │ CLI (compiled binary)│
─────────────────────────→ │ • reads state file │
│ • POST /command │
│ to localhost:PORT │
└──────────┬───────────┘
│ HTTP
┌──────────▼───────────┐
│ Server (Bun.serve) │
│ • dispatches command │
│ • talks to Chromium │
│ • returns plain text │
└──────────┬───────────┘
│ CDP
┌──────────▼───────────┐
│ Chromium (headless) │
│ • persistent tabs │
│ • cookies carry over │
│ • 30min idle timeout │
└───────────────────────┘
```
First call starts everything (~3s). Every call after: ~100-200ms.
The skills decide which engine to use at their BROWSER SETUP step: probe Aside (`command -v aside` + a one-line `aside repl`); on `READY` drive Aside, otherwise resolve `$B` per `{{BROWSE_FALLBACK}}` and run the `$B` equivalent of each cookbook shape. Cookie import, GStack Browser headed mode, `/pair-agent`, browser-skills and `/skillify`, and domain-skills are features of this engine — they matter on the fallback path and are unnecessary on Aside, where the sessions are already yours.
## Why Bun
Node.js would work. Bun is better here for three reasons:
1. **Compiled binaries.** `bun build --compile` produces a single ~58MB executable. No `node_modules` at runtime, no `npx`, no PATH configuration. The binary just runs. This matters because gstack installs into `~/.claude/skills/` where users don't expect to manage a Node.js project.
2. **Native SQLite.** Cookie decryption reads Chromium's SQLite cookie database directly. Bun has `new Database()` built in — no `better-sqlite3`, no native addon compilation, no gyp. One less thing that breaks on different machines.
3. **Native TypeScript.** The server runs as `bun run server.ts` during development. No compilation step, no `ts-node`, no source maps to debug. The compiled binary is for deployment; source files are for development.
4. **Built-in HTTP server.** `Bun.serve()` is fast, simple, and doesn't need Express or Fastify. The server handles ~10 routes total. A framework would be overhead.
The bottleneck is always Chromium, not the CLI or server. Bun's startup speed (~1ms for the compiled binary vs ~100ms for Node) is nice but not the reason we chose it. The compiled binary and native SQLite are.
## The daemon model
### Why not start a browser per command?
Playwright can launch Chromium in ~2-3 seconds. For a single screenshot, that's fine. For a QA session with 20+ commands, it's 40+ seconds of browser startup overhead. Worse: you lose all state between commands. Cookies, localStorage, login sessions, open tabs — all gone.
The daemon model means:
- **Persistent state.** Log in once, stay logged in. Open a tab, it stays open. localStorage persists across commands.
- **Sub-second commands.** After the first call, every command is just an HTTP POST. ~100-200ms round-trip including Chromium's work.
- **Automatic lifecycle.** The server auto-starts on first use, auto-shuts down after 30 minutes idle. No process management needed.
### State file
The server writes `.gstack/browse.json` (atomic write via tmp + rename, mode 0o600):
```json
{ "pid": 12345, "port": 34567, "token": "uuid-v4", "startedAt": "...", "binaryVersion": "abc123" }
```
The CLI reads this file to find the server. If the file is missing or the daemon process is dead, the CLI spawns a new server. A process that is alive but not answering `/health` is busy, not dead: the CLI probes for a bounded ~8s, then reports busy with a nonzero exit — only an explicit `--force-restart` kills a live daemon. Process liveness uses signal-0 (`isProcessAlive`, EPERM counts as alive) on every platform, with the health check (GET /health) as the responsiveness signal. Daemon stdout/stderr persists to `<project>/.gstack/browse-daemon.log`.
### Port selection
Random port between 10000-49151 (retry up to 5 on collision), allocated through the shared `browse/src/port-allocator.ts` so every long-lived gstack listener draws from the same range. The range ends at 49151 on purpose: 49152-65535 is the macOS ephemeral pool, and allocating inside it meant the OS could hand the same port to another process moments later. This means 10 Conductor workspaces can each run their own browse daemon with zero configuration and zero port conflicts. The old approach (scanning 9400-9409) broke constantly in multi-workspace setups.
### Version auto-restart
The build writes `git rev-parse HEAD` to `browse/dist/.version`. On each CLI invocation, if the binary's version doesn't match the running server's `binaryVersion`, the CLI kills the old server and starts a new one. This prevents the "stale binary" class of bugs entirely — rebuild the binary, next command picks it up automatically.
## Rendering local HTML
`/make-pdf`, `/diagram`, `/design-html` previews, and `/office-hours` sketches generate HTML and need a browser to print or rasterize it. That browser is Aside first, through `lib/aside-render.ts` (the TypeScript API, embedded in make-pdf) and `bin/gstack-render.ts` (the CLI skill templates call). Every fact below was verified against Aside CLI 1.26:
1. **Aside refuses `file://` URLs**, so the HTML's directory is served with `Bun.serve()` on `127.0.0.1` at an ephemeral port for the duration of one render and opened with `goto(url, { waitUntil: "load" })` — the default "interactive" readiness never fires for the 9MB diagram bundle. The URL carries a per-render secret as its first path segment (another local process gets 404 for everything), containment is checked on the real path of every request (a symlink escaping the directory is 403, malformed encoding is 400), and directories are never listed.
2. **One `aside repl` process runs one generated script**: open, wait (`--wait-selector` / `--wait-expr`), run the steps in order (`--pdf`, `--screenshot`, `--eval … --out`), close the tab. Nothing persists between CLI calls, so a render is always a single script.
3. **Artifacts are written inside Aside's sandbox** (the per-run session directory is the only writable place), the script prints `ASIDE_DIR=<pwd>`, and the wrapper copies them out.
4. **PDFs go through raw CDP `Page.printToPDF`** via `page._sendToTarget`, so header/footer templates, tagged PDF, and the document outline keep working — `page.pdf()` exposes only the Playwright subset.
5. **Sized screenshots use CDP `Emulation.setDeviceMetricsOverride`.** There is no `setViewportSize`.
6. **The CLI exit code is 0 even when the script throws.** Truth is the `GSTACK_RENDER_OK` sentinel on stdout; a `[error` line is failure.
When `probeAside()` reports `NEEDS_ASIDE` or `ASIDE_NOT_RUNNING`, the same wrappers render through the fallback engine instead — the one shared Chromium per box, no second download: the same loopback server, then one daemon call per action — `newtab --json`, `goto <loopback URL>`, `js` polling for readiness, `pdf --from-file`, `viewport` + `screenshot [--selector]`, `js --out`, and `closetab` in a finally. Same CLI flags, same `OK <path>` lines; `ENGINE=aside|browse` names the engine that actually rendered: when Aside was chosen but its CLI could not start, or its private CDP bridge (`_sendToTarget`) is gone mid-run, `render()` retries the same spec once on this path (a page failure, or a timeout of a script that was already running, is never retried). The CLI fences its `EVAL` / `PAGE_ERRORS` lines as untrusted web content because they are page-controlled text. Not mirrored on the fallback: sized screenshots come out at 1x (Aside defaults to 2x), JPEG `--quality` and `pageRanges`/`scale` are Aside-only, `--landscape` is emulated by swapping the paper dimensions, and `--wait-pagedjs` maps to the daemon's `toc` wait. The renderer serves a local directory and nothing else on either path; pointing it at a website is site work and belongs to the driver contract.
## Security model
### The browser boundary (Aside)
On the Aside path the browser is the user's, so the security model is about what the agent may do inside it, not about protecting a daemon. The rules are prose in `scripts/resolvers/aside.ts`, rendered into every browser skill and pinned by `test/aside-driver.test.ts`:
- **Detect, never install.** A missing or closed Aside hands off to the fallback engine with one line saying so; gstack never runs an installer for Aside.
- **Own tabs only.** The agent works in tabs it opened (or one the user named). `listBrowserTabs()` output is private data and never lands in a report.
- **Look freely, act with consent.** Invoking a skill with a target is consent to read, navigate, and fill without submitting. Mutating actions on a non-local target hit the user's real account, so they get ONE AskUserQuestion per run listing the exact actions first. Logout/delete/cancel/unsubscribe links are never followed.
- **Credentials never pass through the agent.** Sign-in walls are solved by the user inside Aside; the agent never types, reads, or prints passwords, one-time codes, cookies, tokens, or localStorage.
- **Everything a page returns is untrusted.** Snapshot trees, page text, console output, `aside exec` answers, screenshots: content, never instructions (`{{UNTRUSTED_CONTENT_WARNING}}` is the single-source wording).
Drives happen inside Aside, so they produce no gstack-side daemon log; Aside keeps its own history. Everything below this line is the fallback engine's threat model — the daemon, its tokens, its cookie jar, its tunnel.
### Localhost only
The HTTP server binds to `127.0.0.1`, not `0.0.0.0`. It's not reachable from the network.
### Dual-listener tunnel architecture (v1.6.0.0)
When a user runs `pair-agent --client`, the daemon starts an ngrok tunnel so a remote paired agent can drive the browser. Exposing the full daemon surface to the internet (even behind a random ngrok subdomain) meant `/health` leaked the root token on any Origin spoof, and `/cookie-picker` embedded the token into HTML that any caller could fetch.
The fix is **two HTTP listeners**, not one:
- **Local listener** (`127.0.0.1:LOCAL_PORT`) — always bound. Serves token bootstrap (`POST /extension-token`, released only to the pinned extension identity), `/health` (liveness/status only — never a token), `/cookie-picker`, `/inspector/*`, `/welcome`, `/refs`, the sidebar-agent API, and the full command surface. Never forwarded.
- **Tunnel listener** (`127.0.0.1:TUNNEL_PORT`) — bound lazily on `/tunnel/start`, torn down on `/tunnel/stop`. Serves a locked allowlist: `/connect` (pairing ceremony, unauth + rate-limited) and `/command` (scoped tokens only, further restricted to a browser-driving command allowlist). Everything else 404s.
ngrok forwards only the tunnel port. The security property comes from **physical port separation**: a tunnel caller cannot reach `/health` or `/cookie-picker` because those paths don't exist on that TCP socket. Header inference (check `x-forwarded-for`, check origin) is unreliable (ngrok header behavior changes; local proxies can add these headers); socket separation isn't.
| Endpoint | Local listener | Tunnel listener | Notes |
|---|---|---|---|
| `GET /health` | public (liveness/status only — never a token) | 404 | Token bootstrap moved to `POST /extension-token` (v1.63) |
| `POST /extension-token` | pinned Origin (`chrome-extension://<GSTACK_EXTENSION_ID>`) + loopback Host | 404 | The only endpoint that hands out the root token |
| `GET /connect` | public (`{alive:true}`) | public (`{alive:true}`) | Probe path for tunnel liveness |
| `POST /connect` | public (rate-limited 300/min) | public (rate-limited) | Setup-key exchange for pair-agent |
| `POST /command` | auth (Bearer root OR scoped) | auth (scoped only, allowlisted commands) | Root token on tunnel = 403 |
| `POST /pair` | root-only | 404 | Pairing mint — local operator action |
| `POST /tunnel/{start,stop}` | root-only | 404 | Daemon configuration |
| `POST /token`, `DELETE /token/:id` | root-only | 404 | Scoped token mint/revoke |
| `GET /cookie-picker`, `GET /cookie-picker/*` | public UI, auth API | 404 | Local-only — reads local browser DBs |
| `GET /inspector`, `/inspector/events`, etc. | auth | 404 | Extension callback, local-only |
| `GET /welcome` | public | 404 | GStack Browser landing page, local-only |
| `GET /refs` | auth | 404 | Ref map — internal state |
| `GET /activity/stream` | Bearer OR HttpOnly `gstack_sse` cookie | 404 | SSE. ?token= query param no longer accepted |
| `GET /inspector/events` | Bearer OR HttpOnly `gstack_sse` cookie | 404 | SSE. Same cookie as /activity/stream |
| `POST /sse-session` | auth (Bearer) | 404 | Mints the view-only 30-min SSE session cookie |
**Extension token bootstrap (v1.63.0.0).** `GET /health` never carries a token in any mode — it is liveness/status only. The sidebar extension obtains the root token via `POST /extension-token`, which releases it only when the caller's Origin is exactly `chrome-extension://<GSTACK_EXTENSION_ID>` (pinned by the `key` field in `extension/manifest.json`; reproduce the derivation with `bun browse/scripts/extension-id.ts`) and the Host header parses to a loopback hostname — parsed with `new URL()`, never compared raw, because Host carries the port. Web pages cannot forge a `chrome-extension://` Origin, and the endpoint is never added to the tunnel allowlist, so the tunnel surface 404s it by default-deny.
**Tunnel surface denial logs.** Every rejection on the tunnel listener (`path_not_on_tunnel`, `root_token_on_tunnel`, `missing_scoped_token`, `disallowed_command:*`) is recorded asynchronously to `~/.gstack/security/attempts.jsonl` with timestamp, source IP (from `x-forwarded-for`), path, and method. Rate-capped at 60 writes/min globally to prevent log-flood DoS. Shares the attempt log with the prompt-injection scanner.
**SSE session cookies.** EventSource can't send Authorization headers, so the extension POSTs `/sse-session` once at bootstrap with the root Bearer and receives a 30-minute view-only cookie (`gstack_sse`, HttpOnly, SameSite=Strict). The cookie is valid ONLY for `/activity/stream` and `/inspector/events` — it is NOT a scoped token and cannot be used on `/command`. Scope isolation is enforced by the module boundary: `sse-session-cookie.ts` has no imports from `token-registry.ts`.
**Non-goal in this wave** (tracked as #1136): the cookie-import-browser path launches Chrome with `--remote-debugging-port=<random>`. On Windows with App-Bound Encryption v20, a same-user local process can connect to that port and exfiltrate decrypted v20 cookies — an elevation path relative to reading the SQLite DB directly (which can't decrypt v20 without DPAPI context). Fix direction is `--remote-debugging-pipe` instead of TCP; requires restructuring the CDP client.
### Bearer token auth
Every server session generates a random UUID token, written to the state file with mode 0o600 (owner-only read). Every HTTP request that mutates browser state must include `Authorization: Bearer <token>`. If the token doesn't match, the server returns 401.
This prevents other processes on the same machine from talking to your browse server. The cookie picker UI (`/cookie-picker`) and health check (`/health`) are exempt on the local listener — they're 127.0.0.1-bound and don't execute commands. On the tunnel listener nothing is exempt except `/connect`.
### Cookie security
Cookies are the most sensitive data gstack handles. The design:
1. **Keychain access requires user approval.** First cookie import per browser triggers a macOS Keychain dialog. The user must click "Allow" or "Always Allow." gstack never silently accesses credentials.
2. **Decryption happens in-process.** Cookie values are decrypted in memory (PBKDF2 + AES-128-CBC), loaded into the Playwright context, and never written to disk in plaintext. The cookie picker UI never displays cookie values — only domain names and counts.
3. **Database is read-only.** gstack copies the Chromium cookie DB to a temp file (to avoid SQLite lock conflicts with the running browser) and opens it read-only. It never modifies your real browser's cookie database.
4. **Key caching is per-session.** The Keychain password + derived AES key are cached in memory for the server's lifetime. When the server shuts down (idle timeout or explicit stop), the cache is gone.
5. **No cookie values in logs.** Console, network, and dialog logs never contain cookie values. The `cookies` command outputs cookie metadata (domain, name, expiry) but values are truncated.
### Shell injection prevention
The browser registry (Comet, Chrome, Arc, Brave, Edge) is hardcoded. Database paths are constructed from known constants, never from user input. Keychain access uses `Bun.spawn()` with explicit argument arrays, not shell string interpolation.
### Egress receipt ledger (v1.63.0.0)
Every enumerated gstack-initiated off-machine sink writes a hash-chained, tamper-evident receipt to `~/.gstack/security/egress.jsonl` BEFORE the send — `writeReceipt` in `lib/egress-receipt.ts` for TypeScript callers, `_receipted_curl` / `_receipted_git` from `bin/gstack-egress-lib.sh` for shell scripts. Receipts record a sha256 of the exact bytes sent when the caller owns them (subprocess-owned sends like git pushes record `sha256: null`); they never store the body.
Failure polarity is per-class and pinned by tests. Sensitive sinks are fail-closed: brain-sync pushes, memory-ingest, gbrain-sync, telemetry, ngrok tunnel starts, mcp-verify, supabase-provision, and the Memorable bridge's per-prompt `memorable-recall` hand-off (a prompt handed to a local vendor binary; see [docs/memorable-workflow-memory.md](docs/memorable-workflow-memory.md)) refuse to send if the receipt can't be written (each refusal prints problem + cause + fix). User-facing sinks fail open with a stderr warning — the design binary's OpenAI calls, update-check, the read-only dashboards, and git-class receipts proceed even when the receipt write failed, so a fail-open send can go unrecorded (warned, by design). The new-sink scanner in `test/egress-receipt-wiring.test.ts` fails CI when an off-machine sink ships unwired; its only exemptions are enumerated with reasons (user-directed page fetches, reachability probes, install-doc strings, skill prose).
Inspect the ledger with `bin/gstack-egress`: `list` (what gstack attempted to send), `verify` (recompute the chain, exit 3 on tamper), `grants` (the standing consent settings and how to revoke each). `verify` detects in-place edits, reordering, and mid-chain deletion; it does NOT detect tail-truncation, whole-file re-fabrication, or deletion of the ledger itself — guarding against the same-machine, same-user actor who owns the file is out of scope for a forensic log. Threat model: the ledger is forensic observability of ATTEMPTED egress — it records what gstack tried to send so accidents are auditable; it is not an exfiltration control.
### Unicode sanitization at server egress (v1.38.0.0)
Page content harvested by CDP can contain lone UTF-16 surrogate halves (orphaned high or low surrogates from broken JavaScript string handling on the page). When those reach `JSON.stringify`, Bun emits them as `\uD800`-style escape sequences that the downstream consumer's `JSON.parse` accepts, but the Anthropic API rejects with a 400 — turning a single weird page into a session-killing error. Defense is single-point, applied at every server egress that ships page-derived strings.
| Egress path | Module | Sanitization point |
|---|---|---|
| `POST /command` (HTTP) | `browse/src/server.ts` | `handleCommandInternal` wrapper (sanitizes the result of `handleCommandInternalImpl`) |
| `POST /command/batch` | `browse/src/server.ts` | Same wrapper — batch consumers inherit it |
| `GET /activity/stream` (SSE) | `browse/src/server.ts` | `sanitizeReplacer` passed to `JSON.stringify` |
| `GET /inspector/events` (SSE) | `browse/src/server.ts` | `sanitizeReplacer` passed to `JSON.stringify` |
`sanitizeReplacer` is a `JSON.stringify` replacer function that cleans every string value during encoding. Post-stringify regex doesn't work here — `JSON.stringify` has already converted `\uD800` into the literal escape sequence `"\\ud800"` before the regex could match, so the replacer must run inside the encoding pipeline. The pure-string helper `sanitizeLoneSurrogates` is used directly for `text/plain` responses.
**Architectural invariant.** Every new SSE/WebSocket writer or HTTP response that ships page-content-derived strings MUST go through one of two paths: `JSON.stringify(payload, sanitizeReplacer)` for object payloads, or `sanitizeLoneSurrogates(body)` for text bodies. New surfaces that bypass both will desync the system. Inline comments at both SSE producers in `server.ts` say so; `browse/test/server-sanitize-surrogates.test.ts` pins wiring with bug-repro + invariant tests (`handleCommandInternalImpl` rename, central sanitization line, replacer existence, SSE producers stringify with replacer).
### Prompt injection defense (sidebar agent)
The Chrome sidebar agent has tools (Bash, Read, Glob, Grep, WebFetch) and reads hostile web pages, so it's the part of gstack most exposed to prompt injection. Defense is layered, not single-point.
1. **L1-L3 content security (`browse/src/content-security.ts`).** Runs on every page-content command and every tool output: datamarking, hidden-element strip, ARIA regex, URL blocklist, and a trust-boundary envelope wrapper. Applied at both the server and the agent.
2. **L4 ML classifier — TestSavantAI (`browse/src/security-classifier.ts`).** A 22MB BERT-small ONNX model (int8 quantized) running in the security sidecar subprocess. Runs locally, no network. Scans page-derived content on the inject-scan path before the agent sees it.
3. **L4b transcript classifier (removed).** A Claude Haiku conversation-shape pass existed until the chat-path agent that invoked it was ripped; it was deleted as dead code (zero production callers), along with the opt-in DeBERTa ensemble. Do not re-document either as live.
4. **L5 canary token (`browse/src/security.ts`).** Generate/inject/detect utilities for a random system-prompt token whose leak means the attacker convinced the model to reveal the system prompt. Canary leak BLOCKs deterministically. The utilities are pure and tested; the chat prompt-builder that injected the canary was ripped, so no production path injects it today.
5. **L6 ensemble combiner (`combineVerdict`).** BLOCK requires agreement from two ML classifiers at >= `WARN` (0.75), not a single confident hit. This is the Stack Overflow instruction-writing false-positive mitigation. On tool-output scans, single-layer high confidence BLOCKs directly — the content wasn't user-authored, so the FP concern doesn't apply.
**Critical constraint:** `security-classifier.ts` runs only in the security sidecar subprocess (`security-sidecar-entry.ts`), never in the compiled browse binary. `@huggingface/transformers` v4 requires `onnxruntime-node`, which fails `dlopen` from Bun compile's temp extract directory. Only the pure-string pieces (canary inject/check, verdict combiner) are in `security.ts`, which is safe to import from `server.ts`. (The attack log lives in `tunnel-denial-log.ts`; the session-state/status surface was removed in #2557.)
**Env knobs:** `GSTACK_SECURITY_OFF=1` is a real kill switch (classifier stays off even if warmed; the L1-L3 filters keep running). Model cache at `~/.gstack/models/testsavant-small/` (112MB, first run). Attack log at `~/.gstack/security/attempts.jsonl` (salted sha256 + domain, rotates at 10MB, 5 generations). Per-device salt at `~/.gstack/security/device-salt` (0600), cached in-process to survive FS-unwritable environments.
**Visibility.** A centered banner appears on canary leak or BLOCK verdict with the exact layer scores. `bin/gstack-security-dashboard` aggregates local attempts; `supabase/functions/community-pulse` aggregates opt-in community telemetry across users. (The sidebar header's SEC shield icon and the `/health` `security` field were removed in #2557: their only data source — `~/.gstack/security/session-state.json` — lost its only writer when the chat-path agent was ripped, so the shield reported stale or empty state. The live defenses report through their own call sites.)
## The ref system
Refs (`@e1`, `@e2`, `@c1`) are how the agent addresses page elements without writing CSS selectors or XPath.
### How it works
```
1. Agent runs: $B snapshot -i
2. Server calls Playwright's page.accessibility.snapshot()
3. Parser walks the ARIA tree, assigns sequential refs: @e1, @e2, @e3...
4. For each ref, builds a Playwright Locator: getByRole(role, { name }).nth(index)
5. Stores Map<string, RefEntry> on the BrowserManager instance (role + name + Locator)
6. Returns the annotated tree as plain text
Later:
7. Agent runs: $B click @e3
8. Server resolves @e3 → Locator → locator.click()
```
### Why Locators, not DOM mutation
The obvious approach is to inject `data-ref="@e1"` attributes into the DOM. This breaks on:
- **CSP (Content Security Policy).** Many production sites block DOM modification from scripts.
- **React/Vue/Svelte hydration.** Framework reconciliation can strip injected attributes.
- **Shadow DOM.** Can't reach inside shadow roots from the outside.
Playwright Locators are external to the DOM. They use the accessibility tree (which Chromium maintains internally) and `getByRole()` queries. No DOM mutation, no CSP issues, no framework conflicts.
### Ref lifecycle
Refs are cleared on navigation (the `framenavigated` event on the main frame). This is correct — after navigation, all locators are stale. The agent must run `snapshot` again to get fresh refs. This is by design: stale refs should fail loudly, not click the wrong element.
### Ref staleness detection
SPAs can mutate the DOM without triggering `framenavigated` (e.g. React router transitions, tab switches, modal opens). This makes refs stale even though the page URL didn't change. To catch this, `resolveRef()` performs an async `count()` check before using any ref:
```
resolveRef(@e3) → entry = refMap.get("e3")
→ count = await entry.locator.count()
→ if count === 0: throw "Ref @e3 is stale — element no longer exists. Run 'snapshot' to get fresh refs."
→ if count > 0: return { locator }
```
This fails fast (~5ms overhead) instead of letting Playwright's 30-second action timeout expire on a missing element. The `RefEntry` stores `role` and `name` metadata alongside the Locator so the error message can tell the agent what the element was.
### Cursor-interactive refs (@c)
The `-C` flag finds elements that are clickable but not in the ARIA tree — things styled with `cursor: pointer`, elements with `onclick` attributes, or custom `tabindex`. These get `@c1`, `@c2` refs in a separate namespace. This catches custom components that frameworks render as `<div>` but are actually buttons.
## Logging architecture
Three ring buffers (50,000 entries each, O(1) push):
```
Browser events → CircularBuffer (in-memory) → Async flush to .gstack/*.log
```
Console messages, network requests, and dialog events each have their own buffer. Flushing happens every 1 second — the server appends only new entries since the last flush. This means:
- HTTP request handling is never blocked by disk I/O
- Logs survive server crashes (up to 1 second of data loss)
- Memory is bounded (50K entries × 3 buffers)
- Disk files are append-only, readable by external tools
The `console`, `network`, and `dialog` commands read from the in-memory buffers, not disk. Disk files are for post-mortem debugging.
## SKILL.md template system
### The problem
SKILL.md files tell Claude how to use the browse commands. If the docs list a flag that doesn't exist, or miss a command that was added, the agent hits errors. Hand-maintained docs always drift from code.
### The solution
```
SKILL.md.tmpl (human-written prose + placeholders)
↓
gen-skill-docs.ts (reads source code metadata)
↓
SKILL.md (committed, auto-generated sections)
```
Templates contain the workflows, tips, and examples that require human judgment. Placeholders are filled from source code at build time:
| Placeholder | Source | What it generates |
|-------------|--------|-------------------|
| `{{COMMAND_REFERENCE}}` | `commands.ts` | Categorized command table |
| `{{SNAPSHOT_FLAGS}}` | `snapshot.ts` | Flag reference with examples |
| `{{ASIDE_SETUP}}` | `resolvers/aside.ts` | Aside browser-driver contract: readiness probe, the rules for driving a real browser, and the hand-off to the `$B` fallback |
| `{{ASIDE_COOKBOOK}}` | `resolvers/aside.ts` | The verified `aside repl` script shapes (carried by /browse and /devex-review; other skills inline their own) |
| `{{ASIDE_RESEARCH}}` | `resolvers/aside.ts` | Web research through `aside exec` in the user's browser, WebSearch as the fallback, then the no-search degrade |
| `{{ASIDE_EXEC_PRELUDE}}` | `resolvers/aside.ts` | One-line `_aside_exec` definition: an `aside exec` call writes an egress receipt before the prompt leaves the machine (fail-open, user-facing sink: it runs unreceipted only when the egress library is missing); skills never call `aside exec` bare |
| `{{UNTRUSTED_CONTENT_WARNING}}` | `resolvers/aside.ts` | The one untrusted-content rule for everything either browser hands back |
| `{{PREAMBLE}}` | `gen-skill-docs.ts` | Startup block: update check, session tracking, contributor mode, AskUserQuestion format |
| `{{BROWSE_SETUP}}` | `gen-skill-docs.ts` | Binary discovery + setup instructions |
| `{{BROWSE_FALLBACK}}` | `resolvers/browse.ts` | Aside→`$B` hand-off: binary discovery + the step-by-step equivalence table, rendered right after `{{ASIDE_SETUP}}` in every browsing skill |
| `{{BASE_BRANCH_DETECT}}` | `gen-skill-docs.ts` | Dynamic base branch detection for PR-targeting skills (ship, review, qa, plan-ceo-review) |
| `{{QA_METHODOLOGY}}` | `gen-skill-docs.ts` | Shared QA methodology block for /qa and /qa-only |
| `{{DESIGN_METHODOLOGY}}` | `gen-skill-docs.ts` | Shared design audit methodology for /plan-design-review and /design-review |
| `{{REVIEW_DASHBOARD}}` | `gen-skill-docs.ts` | Review Readiness Dashboard for /ship pre-flight |
| `{{TEST_BOOTSTRAP}}` | `gen-skill-docs.ts` | Test framework detection, bootstrap, CI/CD setup for /qa, /ship, /design-review |
| `{{CODEX_PLAN_REVIEW}}` | `resolvers/review.ts` | Optional outside plan review for /plan-ceo-review and /plan-eng-review: Claude Code on Codex, Codex on other supported harnesses, with the caller's native subagent fallback |
| `{{DESIGN_SETUP}}` | `resolvers/design.ts` | Discovery pattern for `$D` design binary, mirrors `{{BROWSE_SETUP}}` |
| `{{DESIGN_DETECTOR}}` | `resolvers/design.ts` | Probe block + sentinel reading for the user-installed impeccable engine (`bin/gstack-design-detect.ts`); `:phase0` renders design-review's mechanical scan, `:gate` design-html's bounded slop gate |
| `{{DESIGN_MD_CHECK}}` | `resolvers/design.ts` | Open DESIGN.md format check through `bin/gstack-design-md.ts`, with the one-time conversion offer persisted in the file; `:calibrate` renders the tokens-as-calibration form for /design-review |
| `{{OVERUSED_FONTS}}` | `resolvers/design.ts` | Role-scoped font lists from `lib/design-catalog.ts` (overused as display, fine as body/UI, mono, banned, verified-free) for /design-consultation |
| `{{DESIGN_SLOP_BULLETS}}` | `resolvers/design.ts` | Prose-only slop bullets from `lib/design-catalog.ts` (no rule ids) for the proposal skills |
| `{{DESIGN_SHOTGUN_LOOP}}` | `resolvers/design.ts` | Shared comparison board feedback loop for /design-shotgun, /plan-design-review, /design-consultation |
| `{{UX_PRINCIPLES}}` | `resolvers/design.ts` | User behavioral foundations (scanning, satisficing, goodwill reservoir, trunk test) for /design-html, /design-shotgun, /design-review, /plan-design-review |
| `{{GBRAIN_CONTEXT_LOAD}}` | `resolvers/gbrain.ts` | Brain-first context search with keyword extraction, health awareness, and data-research routing. Injected into 10 brain-aware skills. Suppressed on non-brain hosts. |
| `{{GBRAIN_SAVE_RESULTS}}` | `resolvers/gbrain.ts` | Post-skill brain persistence with entity enrichment, throttle handling, and per-skill save instructions. 8 skill-specific save formats. |
| `{{FOREGROUND_DISPATCH_NOTE}}` | `resolvers/constants.ts` | Canonical `run_in_background: false` guidance for every synchronous Agent-tool subagent dispatch (subagents run in the background by default since Claude Code v2.1.198). Single source of truth; carriers are pinned per file by `test/run-in-background-guidance.test.ts`. |
This is structurally sound — if a command exists in code, it appears in docs. If it doesn't exist, it can't appear.
The generator also owns two files that are not skill docs: `review/design-checklist.md` is rendered from `lib/design-catalog.ts` (through `scripts/resolvers/design-checklist.ts`), and `lib/dom-dump.js` is written from `lib/dom-dump-script.ts`. The checklist `/review` and `/ship` read and the DOM dump `/design-review` runs therefore cannot drift from the catalog and the script the templates describe; `test/design-checklist-sync.test.ts` pins both.
The internal async `runGeneration()` driver inventories skills, Claude sections,
host metadata, OpenClaw snippets, the index, the agent digest, and auxiliary
assets. Every artifact goes through one compare-or-write function. Dry runs
report missing or different artifacts as `STALE` without changing files or
directories; rendering and filesystem failures report `ERROR` with their cause.
Either fails the command, including a single-host invocation. Module imports
remain synchronous and do not start generation.
Physical output paths are separate from paths embedded in content. `skill:check`
uses that separation to generate every host once in temporary storage, validate
the complete render, and compare canonical tracked output. Nonignored generated
output must be tracked. Optional ignored host caches are untouched, and temporary
storage is cleaned in `finally`, including after failed generation.
### The preamble
Every skill starts with a `{{PREAMBLE}}` block that runs before the skill's own logic. Since v1.71.0.0 the rendered block is a thin fence that invokes `bin/gstack-skill-start` (the consolidated preamble runtime — it replaced ~18KB of inline bash per tier-2+ skill) and reads back `KEY: value` STATUS lines that the skill prose branches on; `bin/gstack-skill-end` logs telemetry at skill end. One-time onboarding and consent text is emitted as session-bound `GSTACK_INSTRUCTION` blocks only when a runtime gate actually fires, instead of rendering in every skill. The startup still handles five things:
1. **Update check** — calls `gstack-update-check`, reports if an upgrade is available.
2. **Session tracking** — touches `~/.gstack/sessions/<parent-pid>` and prunes entries older than 2 hours, so concurrent-session state is observable on disk.
3. **Operational self-improvement** — at the end of every skill session, the agent reflects on failures (CLI errors, wrong approaches, project quirks) and logs operational learnings to the project's JSONL file for future sessions.
4. **AskUserQuestion format** — universal format: context, question, `RECOMMENDATION: Choose X because ___`, lettered options. Consistent across all skills.
5. **Search Before Building** — before building infrastructure or unfamiliar patterns, search first. Three layers of knowledge: tried-and-true (Layer 1), new-and-popular (Layer 2), first-principles (Layer 3). When first-principles reasoning reveals conventional wisdom is wrong, the agent names the "eureka moment" and logs it. See `ETHOS.md` for the full builder philosophy.
### Why committed, not generated at runtime?
Three reasons:
1. **Claude reads SKILL.md at skill load time.** There's no build step when a user invokes `/browse`. The file must already exist and be correct.
2. **CI can validate freshness.** All-host generation followed by tracked-diff and untracked-output checks catches stale docs before merge; `skill:check` also validates every host's content from a clean checkout.
3. **Git blame works.** You can see when a command was added and in which commit.
### Template test tiers
Paid-tier cost and speed estimates below predate the current model defaults.
See [eval defaults and overrides](CONTRIBUTING.md#testing--evals).
| Tier | What | Cost | Speed |
|------|------|------|-------|
| 1 — Static validation | Parse every `$B` command in SKILL.md and validate it against the registry; pin the Aside contract sentences and the render wrapper's option mapping | Free | <2s |
| 2 — E2E via `claude -p` | Spawn real Claude session, run each skill, check for errors | ~$3.85 | ~20min |
| 3 — LLM-as-judge | `claude-fable-5-1` by default scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
Tier 1 runs on every `bun run test`. Tiers 2+3 are gated behind `EVALS=1`. The idea is: catch 95% of issues for free, use LLMs only for judgment calls.
## Command dispatch
Commands are categorized by side effects:
- **READ** (text, html, links, console, cookies, ...): No mutations. Safe to retry. Returns page state.
- **WRITE** (goto, click, fill, press, ...): Mutates page state. Not idempotent.
- **META** (snapshot, screenshot, tabs, chain, ...): Server-level operations that don't fit neatly into read/write.
This isn't just organizational. The server uses it for dispatch:
```typescript
if (READ_COMMANDS.has(cmd)) → handleReadCommand(cmd, args, bm)
if (WRITE_COMMANDS.has(cmd)) → handleWriteCommand(cmd, args, bm)
if (META_COMMANDS.has(cmd)) → handleMetaCommand(cmd, args, bm, shutdown)
```
The `help` command returns all three sets so agents can self-discover available commands.
## Error philosophy
Errors are for AI agents, not humans. Every error message must be actionable:
- "Element not found" → "Element not found or not interactable. Run `snapshot -i` to see available elements."
- "Selector matched multiple elements" → "Selector matched multiple elements. Use @refs from `snapshot` instead."
- Timeout → "Navigation timed out after 30s. The page may be slow or the URL may be wrong."
Playwright's native errors are rewritten through `wrapError()` to strip internal stack traces and add guidance. The agent should be able to read the error and know what to do next without human intervention.
### Crash recovery
The server doesn't try to self-heal. If Chromium crashes (`browser.on('disconnected')`), the server exits immediately. The CLI detects the dead server on the next command and auto-restarts. This is simpler and more reliable than trying to reconnect to a half-dead browser process.
## E2E test infrastructure
### Session runner (`test/helpers/session-runner.ts`)
E2E tests spawn `claude -p` as a completely independent subprocess — not via the Agent SDK, which can't nest inside Claude Code sessions. The runner:
1. Writes the prompt to a temp file (avoids shell escaping issues)
2. Spawns `sh -c 'cat prompt | claude -p --output-format stream-json --verbose'`
3. Streams NDJSON from stdout for real-time progress
4. Races against a configurable timeout
5. Parses the full NDJSON transcript into structured results
The `parseNDJSON()` function is pure — no I/O, no side effects — making it independently testable.
### Observability data flow
```
skill-e2e-*.test.ts
│
│ generates runId, passes testName + runId to each call
│
┌─────┼──────────────────────────────┐
│ │ │
│ runSkillTest() evalCollector
│ (session-runner.ts) (eval-store.ts)
│ │ │
│ per tool call: per addTest():
│ ┌──┼──────────┐ savePartial()
│ │ │ │ │
│ ▼ ▼ ▼ ▼
│ [HB] [PL] [NJ] _partial-e2e.json
│ │ │ │ (atomic overwrite)
│ │ │ │
│ ▼ ▼ ▼
│ e2e- prog- {name}
│ live ress .ndjson
│ .json .log
│
│ on failure:
│ {name}-failure.json
│
│ ALL files in ~/.gstack-dev/
│ Run dir: e2e-runs/{runId}/
│
│ eval-watch.ts
│ │
│ ┌─────┴─────┐
│ read HB read partial
│ └─────┬─────┘
│ ▼
│ render dashboard
│ (stale >10min? warn)
```
**Split ownership:** session-runner owns the heartbeat (current test state), eval-store owns partial results (completed test state). The watcher reads both. Neither component knows about the other — they share data only through the filesystem.
**Non-fatal everything:** All observability I/O is wrapped in try/catch. A write failure never causes a test to fail. The tests themselves are the source of truth; observability is best-effort.
**Machine-readable diagnostics:** Each test result includes `exit_reason` (success, timeout, error_max_turns, error_api, exit_code_N), `timeout_at_turn`, and `last_tool_call`. This enables `jq` queries like:
```bash
jq '.tests[] | select(.exit_reason == "timeout") | .last_tool_call' ~/.gstack/projects/<slug>/evals/_partial-e2e.json
```
### Eval persistence (`test/helpers/eval-store.ts`)
The `EvalCollector` accumulates test results and writes them in two ways:
1. **Incremental:** `savePartial()` writes `_partial-e2e.json` after each test (atomic: write `.tmp`, `fs.renameSync`). Survives kills.
2. **Final:** `finalize()` writes a timestamped eval file (e.g. `e2e-20260314-143022.json`). The partial file is never cleaned up — it persists alongside the final file for observability.
`eval:compare` diffs two eval runs. `eval:summary` aggregates stats across all runs in `~/.gstack/projects/<slug>/evals/` (legacy fallback `~/.gstack-dev/evals/`). Both are shard-aware (v1.63.0.0): the sharded paid runner (`scripts/test-paid-shards.ts`, run via `test:gate:sharded` / `test:periodic:sharded` — the `eval:bg:gate` / `eval:bg:periodic` scripts now point at these) gives each shard's collector its own directory at `<evalDir>/shards/<slug>/` through the `GSTACK_EVAL_DIR` env var (honored by the `EvalCollector` constructor), and `eval:list` / `eval:compare` / `eval:summary` scan one level of `shards/<slug>/` subdirectories (`eval:flake-rank` reads the same tree recursively, plus the free-suite flake ledger). Baseline lookups exclude `_partial` accumulators (`isPartialEval` / `findLatestFinalizedRun` in `eval-store.ts`), so auto-comparison never uses the current run's own partial file as its baseline.
### Test tiers
Paid-tier cost and speed estimates below predate the current model defaults.
See [eval defaults and overrides](CONTRIBUTING.md#testing--evals).
| Tier | What | Cost | Speed |
|------|------|------|-------|
| 1 — Static validation | Parse `$B` commands against the registry, Aside contract pins, render-wrapper pins, observability unit tests | Free | <5s |
| 2 — E2E via `claude -p` | Spawn real Claude session, run each skill, scan for errors | ~$3.85 | ~20min |
| 3 — LLM-as-judge | `claude-fable-5-1` by default scores docs on clarity/completeness/actionability | ~$0.15 | ~30s |
Tier 1 runs on every `bun run test`. Tiers 2+3 are gated behind `EVALS=1`. The idea: catch 95% of issues for free, use LLMs only for judgment calls and integration testing.
Anything that needs Aside itself — `test/skill-e2e-aside.test.ts`, the Aside cases in the qa and design-review E2E files, the live round-trip in `test/aside-render.test.ts` — runs only on a Mac with the Aside app open and self-skips elsewhere (`asideAvailable()` in `test/helpers/aside-available.ts`; `GSTACK_SKIP_ASIDE=1` forces the skip). The render gates are engine-agnostic: make-pdf's `*-gate.test.ts` and `test/skill-e2e-diagram.test.ts` run through whichever engine resolves (`browserAvailable()` in `make-pdf/test/e2e/browser-available.ts` = `asideAvailable() || resolveBrowseBin() !== null`) and skip only when neither exists, so Linux CI builds the browse binary with `bun run build:gates` and runs them live. The fallback engine's own tests (`browse/test/`, the `$B`-driven E2E cases) run on every platform as before: Linux CI proves the fallback path live and the Aside contract statically.
## What's intentionally not here
- **No persistent page across `aside repl` calls.** Every Aside script is a fresh session and its tabs die with it. Re-navigating per script is the honest tax of that model; `aside mcp` may lift it later (TODOS.md).
- **No search tool of our own.** Research goes Aside first, the host's WebSearch tool second, in-distribution knowledge third — out loud each time it steps down.
- **No WebSocket streaming.** HTTP request/response is simpler, debuggable with curl, and fast enough. Streaming would add complexity for marginal benefit.
- **No MCP protocol.** MCP adds JSON schema overhead per request and requires a persistent connection. Plain HTTP + plain text output is lighter on tokens and easier to debug.
- **No multi-user support.** One server per workspace, one user. The token auth is defense-in-depth, not multi-tenancy.
- **No Windows/Linux cookie decryption.** macOS Keychain is the only supported credential store. Linux (GNOME Keyring/kwallet) and Windows (DPAPI) are architecturally possible but not implemented.
- **No iframe auto-discovery.** `$B frame` supports cross-frame interaction (CSS selector, @ref, `--name`, `--url` matching), but the ref system does not auto-crawl iframes during `snapshot`. You must explicitly enter a frame context first.