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# Conflicts:
#	CHANGELOG.md
#	VERSION
#	package.json
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# Browser-Skills v1 — codifying repeated browser flows
**Status:** Phase 1 shipped on `garrytan/browserharness`. Phases 2-4 enumerated below.
**Last updated:** 2026-04-26
**Authors:** garrytan (with /plan-eng-review and /codex outside-voice review)
## What this is
Browser-skills are per-task directories that codify a repeated browser flow
into a deterministic Playwright script. Each skill has:
```
browser-skills/<name>/
├── SKILL.md # frontmatter + prose contract
├── script.ts # deterministic logic
├── _lib/browse-client.ts # vendored copy of the SDK
├── fixtures/<host>-<date>.html # captured page for tests
└── script.test.ts # parser tests against the fixture
```
A user (or, in Phase 2, an agent that just got a flow right) creates a skill
once. Future invocations run the script, returning JSON in 200ms instead of
the 30 seconds an agent would burn re-exploring via `$B` primitives.
The shipped reference is `hackernews-frontpage`: scrapes the HN front page,
returns 30 stories as JSON. Try `$B skill list` and `$B skill run hackernews-frontpage`.
## Why this is different from domain-skills (v1.8.0.0)
- **Domain-skills** = "agent remembers facts about a site." JSONL notes keyed
by hostname, injected into prompts at session start. State machine handles
quarantine → active → global promotion.
- **Browser-skills** = "agent codifies procedures into deterministic scripts."
Per-task directories, executed via `$B skill run`, scoped tokens at the
daemon for per-spawn capability isolation.
Both use the same mental model (per-host, three-tier scoping). The procedure
layer is where the bigger productivity gain lives because it pushes scraping
and form automation out of latent space and into reproducible code.
## Why this is not the existing P1 ("self-authoring `$B` commands")
The original P1 was blocked on Codex's T1 objection: agent-authored TypeScript
cannot run safely *inside* the daemon (ambient globals, constructor gadgets,
top-level-await TOCTOU between approval and execution). The right design was
"out-of-process worker isolation with capability-passing IPC." That's a hard
project that may never ship.
Browser-skills sidestep the entire problem by running scripts *outside* the
daemon as standalone Bun processes. The daemon never imports or evals skill
code. Skills talk to the daemon over loopback HTTP — same wire format any
external client would use.
The plan as approved replaces the existing P1.
---
## Phasing
| Phase | Branch | Scope |
|-------|--------|-------|
| **1** | `garrytan/browserharness` | SDK, storage, `$B skill list/run/show/test/rm` subcommands, scoped-token model, bundled `hackernews-frontpage` reference. **Shipped (v1.19.0.0, consolidated with Phase 2a).** |
| **2a** | `garrytan/browserharness` (continues) | `/scrape <intent>` (read-only, single entry point with match/prototype paths) + `/skillify` (codifies prototype into permanent skill). Adds `browse/src/browser-skill-write.ts` D3 atomic-write helper. **Shipping v1.19.0.0.** |
| **2b** | new (`browser-skills-automate`) | `/automate` skill template (mutating-flow sibling of `/scrape`). Reuses `/skillify` and the D3 helper. Per-mutating-step confirmation gate when running non-codified. P0 in TODOS. |
| **3** | new (`browser-skills-resolver`) | Resolver injection at session start (per-host browser-skill discovery). Mirrors domain-skill injection. `gstack-config browser_skillify_prompts` knob. |
| **4** | new | Eval test infrastructure (LLM-judge), fixture-staleness detection, periodic re-validation against live pages, OS-level FS sandbox for untrusted spawns. |
---
## Phase 1 architecture
### Decisions locked (13)
1. **Phase 1 = full storage + SDK + subcommands + bundled reference.** No agent
authoring yet. Phase 2 lands `/scrape` and `/automate`.
2. **Two verbs in Phase 2: `/scrape` (read-only) and `/automate` (mutating).**
They share skillify approval-gate machinery but live as separate skill
templates.
3. **Replaces the existing self-authoring-`$B` P1 in TODOS.md.** Same
user-visible goal, no in-daemon isolation problem.
4. **SDK distribution: sibling file inside each skill (Option E).** The
canonical SDK lives at `browse/src/browse-client.ts` (~250 LOC). Each skill
ships a copy at `<skill>/_lib/browse-client.ts`. Phase 2's generator copies
the current SDK alongside every generated script. Each skill is fully
self-contained: copy the directory anywhere, it runs. Version drift
impossible (the SDK is frozen at the version the skill was authored
against). Disk cost: ~3KB per skill.
5. **Three-tier lookup: bundled → global → project.** Bundled skills ship
read-only with the gstack install (`<gstack-install>/browser-skills/<name>/`).
Global at `~/.gstack/browser-skills/<name>/`. Per-project at
`<project>/.gstack/browser-skills/<name>/`. Lookup walks tiers in priority
order project → global → bundled; first hit wins. **`$B skill list`
prints the resolved tier alongside each skill name** so "why did it run
that one?" is never a debugging mystery.
6. **Trust model: scoped tokens at spawn time, NOT env-scrub-as-sandbox.**
See "Trust model" below. (Revised from original env-scrub plan after
Codex flagged it as security theater.)
7. **Single source of truth: SKILL.md frontmatter only.** No `meta.json`.
Frontmatter holds host, triggers, args, version, source, trusted.
SHA256/staleness deferred to Phase 4 as a separate `.checksum` sidecar
if it lands at all.
8. **No INDEX.json. Walk the directory.** `$B skill list` enumerates the
three tiers and parses each SKILL.md frontmatter. ~5-10ms for 50 skills.
Eliminates the entire "index drifted from disk" bug class.
9. **`$B skill run` output protocol.** stdout = JSON. stderr = streaming
logs. Exit 0 / nonzero. Default 60s timeout, override via `--timeout=Ns`.
Max stdout 1MB (truncate + nonzero exit if exceeded). Matches `gh` /
`kubectl` / `docker` conventions.
10. **Fixture replay: two patterns for two test types.** SDK unit test
stands up an in-test mock HTTP server. End-to-end skill tests parse
bundled HTML fixtures via the script's exported parser function (no
daemon required). Phase 1 fixture-only is adequate for `hackernews-frontpage`;
Phase 2 `/automate` will need richer fixtures.
11. **Reference skill: `hackernews-frontpage`.** Scrapes HN front page
(titles, points, comments). No auth, stable HTML, ideal fixture-test
target.
12. **Token/port discovery: scoped-token env-only for spawned skills;
state-file fallback for standalone debug runs.** When spawned via
`$B skill run`, the SDK reads `GSTACK_PORT` + `GSTACK_SKILL_TOKEN` from
env. For standalone `bun run script.ts`, the SDK falls back to
`<project>/.gstack/browse.json` (the actual state-file path per
`config.ts:50`).
13. **CHANGELOG honesty.** Phase 1 lead: humans can hand-write deterministic
browser scripts that gstack runs. Phase 1 explicitly notes that agent
authoring lands in next release. No fabricated perf numbers — Phase 1
has no before/after.
### Trust model (decision #6 in detail)
Two orthogonal axes:
| Axis | Mechanism | Default |
|------|-----------|---------|
| **Daemon-side capability** | Per-spawn scoped token bound to `read+write` scope (the 17-cmd browser-driving surface, minus admin commands like `eval`/`js`/`cookies`/`storage`). Single-use clientId encodes skill name + spawn id. Revoked when the spawn exits. | Always scoped (never the daemon root token). |
| **Process-side env access** | SKILL.md frontmatter `trusted: true` passes `process.env` minus `GSTACK_TOKEN`. `trusted: false` (default) drops everything except a minimal allowlist (LANG, LC_ALL, TERM, TZ, locked PATH) and explicitly strips secret-pattern keys (TOKEN/KEY/SECRET/PASSWORD, AWS_*, AZURE_*, GCP_*, ANTHROPIC_*, OPENAI_*, GITHUB_*, etc.). | Untrusted (must opt in). |
`GSTACK_PORT` and `GSTACK_SKILL_TOKEN` are always injected last so a parent
process cannot override them by setting them in env.
**What this gets right:** the daemon-side scoped token is enforceable by the
daemon. A skill that tries to call `eval` (admin scope) gets a 403 even though
the SDK exposes it. The capability boundary is in the right place.
**What this does NOT close:** Bun has no built-in FS sandbox. An untrusted
skill can still `import 'fs'` and read whatever the OS user can read (e.g.
`~/.ssh/id_rsa`). The env scrub is hygiene, not a sandbox. OS-level isolation
(`sandbox-exec`, namespaces) is Phase 4 work and drops in cleanly behind the
existing trusted/untrusted contract.
The original plan called env-scrub a sandbox. Codex correctly flagged that as
theater. The revised plan calls it what it is: best-effort hygiene plus
defense-in-depth, with the real boundary at the daemon-side scoped token.
### File layout
```
browse/src/
├── browse-client.ts # canonical SDK (~250 LOC)
├── browser-skills.ts # 3-tier walk + frontmatter parser + tombstones
├── browser-skill-commands.ts # $B skill list/show/run/test/rm + spawnSkill
└── skill-token.ts # mintSkillToken / revokeSkillToken wrappers
browser-skills/
└── hackernews-frontpage/ # bundled reference skill
├── SKILL.md
├── script.ts
├── _lib/browse-client.ts # byte-identical copy of canonical
├── fixtures/hn-2026-04-26.html
└── script.test.ts
browse/test/
├── skill-token.test.ts # mint/revoke lifecycle, scope assertions
├── browse-client.test.ts # mock HTTP server, wire format, auth
├── browser-skills-storage.test.ts # 3-tier walk, frontmatter, tombstones
└── browser-skill-commands.test.ts # parseRunArgs, dispatch, env scrub, spawn
test/skill-validation.test.ts # extended: bundled-skill contract checks
```
### What does NOT change
- Domain-skills storage, state machine, or injection. Untouched.
- Tunnel-surface allowlist (`server.ts:118-123`). Same 17 commands.
- L1-L6 security stack. Browser-skills don't inject text into prompts in
Phase 1; Phase 3's resolver injection will ride the existing UNTRUSTED
envelope.
- The `cli.ts` HTTP client at `sendCommand()`. The SDK is a separate module
with a different concern (library vs CLI process).
---
## Codex outside-voice findings (post-review responses)
The /codex review flagged 8 findings. The plan addresses them as follows:
| # | Finding | Phase 1 response |
|---|---------|------------------|
| 1 | Trust model is fake without FS sandbox | **Closed** by decision #6 (scoped tokens) above. |
| 2 | Phase 1 is overbuilt for one bundled skill (lookup tiers, tombstones, etc.) | **Acknowledged but kept.** User chose full Phase 1 to lock the architecture before Phase 2 lands agent authoring. Each subsystem is small enough to remove cleanly if data later says it's unused. |
| 3 | Existing client pattern in `cli.ts:398` may make sibling SDK redundant | **Verified false.** Line 398 is the end of `extractTabId()` (a flag-parser). The actual HTTP client is `sendCommand()` at cli.ts:401-467, but it's CLI-coupled (`process.stdout.write`, `process.exit`, server-restart recovery). Not reusable as a library. The new `browse-client.ts` mirrors its wire format but is library-shaped. |
| 4 | "First hit wins" lookup is opaque | **Mitigated** by listing the resolved tier inline in `$B skill list` and `$B skill show`. Future: optional `--source bundled\|global\|project` flag if the tier override proves confusing. |
| 5 | Atomic skill packaging matters more than the index question; symlink defenses | **Closed for Phase 1**: bundled skills ship as part of the gstack install (no live writes; atomic by virtue of being read-only files in the install dir). Phase 2's `writeBrowserSkill` will write to a temp dir then rename, and use `realpath`/`lstat` discipline (existing `browse/src/path-security.ts`). |
| 6 | Phase 2 synthesis from activity feed is weak (lossy ring buffer) | **Open issue for Phase 2 design.** The activity feed is telemetry, not a replay IR. Phase 2 will need a structured recorder OR re-prompting the agent to write the script from scratch using its own context. Decide in Phase 2's design pass. |
| 7 | Bun runtime regression: skill scripts as standalone Bun reintroduce a Bun runtime requirement | **Open issue for Phase 2 distribution.** Phase 1 sidesteps this because the bundled reference skill ships inside the gstack install (which already builds with Bun). Phase 2 needs to decide between (a) shipping a Bun binary with each generated skill, (b) compiling skills to self-contained executables, or (c) using Node.js with `cli.ts`'s HTTP pattern. |
| 8 | `file://` fixtures don't prove timing/auth/navigation/lazy hydration | **Documented limit.** Adequate for `hackernews-frontpage`. Phase 2 `/automate` will need richer fixtures (mock daemon with timing, recorded HAR replay, etc.). |
---
## Phase 2a — `/scrape` + `/skillify` (shipping v1.19.0.0)
Two skill templates plus one helper module. `/scrape <intent>` is the single
entry point for pulling page data; first call on a new intent prototypes via
`$B` primitives and returns JSON, subsequent calls on a matching intent route
to a codified browser-skill in ~200ms. `/skillify` codifies the most recent
successful prototype into a permanent browser-skill on disk. Mutating-flow
sibling `/automate` deferred to Phase 2b (P0 in TODOS).
### Decisions locked during the v1.19.0.0 plan review (`/plan-eng-review`)
| ID | Decision | Locked behavior |
|----|----------|-----------------|
| **D1** | `/skillify` provenance guard | Walk back ≤10 agent turns looking for a clearly-bounded `/scrape` invocation (the prototype's intent line + its trailing JSON output). If not found, refuse with: *"No recent /scrape result found in this conversation. Run /scrape <intent> first, then say /skillify."* No silent fallback. |
| **D2** | Synthesis input slice | Template instructs the agent to extract ONLY the final-attempt `$B` calls that produced the JSON the user accepted, plus the user's stated intent string. Drop failed selector attempts, drop unrelated chat, drop earlier-session content. Closes Codex finding #6 by picking option (b) (re-prompt from agent's own context, not a structured recorder). |
| **D3** | Atomic write discipline | `/skillify` writes to `~/.gstack/.tmp/skillify-<spawnId>/`, runs `$B skill test` against the temp dir, and only renames into the final tier path on success + user approval. On test failure or approval rejection: `rm -rf` the temp dir entirely (no tombstone for never-approved skills). New module `browse/src/browser-skill-write.ts` (`stageSkill` / `commitSkill` / `discardStaged`) with `realpath`/`lstat` discipline per Codex finding #5. |
| **D4** | Test scope | 5 gate-tier E2E (scrape match, scrape prototype, skillify happy, skillify provenance refusal, approval-gate reject) + 1 unit test (atomic-write helper failure cleanup) + 1 hand-verified smoke (mutating-intent refusal). Registered in `test/helpers/touchfiles.ts`. |
### Carry-overs
- **Default tier: global.** Lean global for procedures, with per-project
override at `/skillify` time (mirrors domain-skill scope). Phase 1 storage
helpers support both lookup paths.
- **Bun runtime distribution.** Codex finding #7 stays open. Phase 2a assumes
Bun is on PATH (gstack already requires it via `setup:6-15`). Documented
in `/skillify` SKILL.md "Limits". Real fix lands in Phase 4.
## Phase 2b — `/automate` sketch
Mutating-flow sibling of `/scrape`. Same skillify pattern (reuses `/skillify`
and the D3 helper as-is). Difference: per-mutating-step UNTRUSTED-wrapped
summary + `AskUserQuestion` confirmation gate when run non-codified. After
codification, the skill runs unattended (the codified script enumerates exactly
which `$B click`/`fill`/`type` calls run). See P0 entry in `TODOS.md`.
## Phase 3 sketch
Resolver injection at session start. Mirror the domain-skill injection at
`server.ts:722-743`:
```ts
const browserSkillsBlock = await renderBrowserSkillsForHost(hostname, projectSlug);
if (browserSkillsBlock) {
systemPrompt += `\n\n${browserSkillsBlock}`;
}
```
`renderBrowserSkillsForHost()` reads the 3 tiers, filters to skills whose
`host` field matches, and emits an UNTRUSTED-wrapped block listing them.
`gstack-config browser_skillify_prompts` (default off): when on, end-of-task
nudges in `/qa`, `/design-review`, etc. fire when activity feed shows ≥N
commands on a single host AND no skill exists yet for that host+intent.
## Phase 4 sketch
- LLM-judge eval ("did the agent reach for the skill instead of re-exploring?").
- Fixture-staleness detection — compare bundled fixture against live page.
- OS-level FS sandbox for untrusted spawns (`sandbox-exec` on macOS,
namespaces / seccomp on Linux).
- `$B skill upgrade <name>` — regenerate the sibling SDK copy when the
canonical SDK changes.
---
## Verification (Phase 1)
`bun test` passes the new test files:
- `browse/test/skill-token.test.ts` — 15 assertions
- `browse/test/browse-client.test.ts` — 26 assertions
- `browse/test/browser-skills-storage.test.ts` — 31 assertions
- `browse/test/browser-skill-commands.test.ts` — 29 assertions
- `browser-skills/hackernews-frontpage/script.test.ts` — 13 assertions
- `test/skill-validation.test.ts` — 7 new bundled-skill assertions
End-to-end with the daemon running:
```bash
$B skill list # shows hackernews-frontpage (bundled)
$B skill show hackernews-frontpage # prints SKILL.md
$B skill run hackernews-frontpage # returns JSON of 30 stories
$B skill test hackernews-frontpage # runs script.test.ts
```
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# Domain Skills
Per-site notes the agent writes for itself. Compounds across sessions: once an
agent figures out something non-obvious about a website, it saves a skill, and
future sessions on that host get the note injected into their prompt context.
This is gstack's borrow from [browser-use/browser-harness](https://github.com/browser-use/browser-harness).
gstack copies the per-site-notes pattern, NOT the self-modifying-runtime
pattern. Skills are markdown text loaded into prompts; they are not executable
code.
## How agents use it
```bash
# Agent wrote down what it learned about a site after a successful task.
# The host is taken from the active tab automatically (no agent argument).
echo "# LinkedIn Apply Button
The Apply button on /jobs/view pages is inside an iframe with a class
matching 'jobs-apply-button-iframe'. Use \$B frame --url 'apply' first,
then snapshot." | $B domain-skill save
# See what's saved
$B domain-skill list
# Read the body of a specific host's skill
$B domain-skill show linkedin.com
# Edit interactively in $EDITOR
$B domain-skill edit linkedin.com
# Promote an active per-project skill to global (cross-project)
$B domain-skill promote-to-global linkedin.com
# Roll back a recent edit
$B domain-skill rollback linkedin.com
# Delete (tombstone — recoverable via rollback)
$B domain-skill rm linkedin.com
```
## State machine
```
┌──────────────┐ 3 successful uses ┌────────┐ promote-to-global ┌────────┐
│ quarantined │ ─────────────────────▶ │ active │ ──────────────────▶ │ global │
│ (per-project)│ (no classifier flags) │(project)│ (manual command) │ │
└──────────────┘ └────────┘ └────────┘
▲ │
│ classifier flag during use │ rollback (version log)
└───────────────────────────────────────┘
```
A new save lands as **quarantined** and does NOT auto-fire in prompts. After 3
uses on this host without the L4 ML classifier flagging the skill content, the
skill auto-promotes to **active** in the project. Active skills fire on every
new sidebar-agent session for that hostname.
To make a skill fire across projects (for example, "I want my LinkedIn skill
on every gstack project I work on"), explicitly run
`$B domain-skill promote-to-global <host>`. This is opt-in by design (Codex T4
outside-voice review): blanket cross-project compounding leaks context across
unrelated work.
## Storage
Skills live in two places:
- **Per-project**: `~/.gstack/projects/<slug>/learnings.jsonl` — same JSONL
file the `/learn` skill uses. Domain skills are `type:"domain"` rows.
- **Global**: `~/.gstack/global-domain-skills.jsonl` — only `state:"global"`
rows.
Both files are append-only JSONL. Tombstones for deletes; an idle compactor
rewrites files periodically. Tolerant parser drops partial trailing lines on
read so a crash mid-write doesn't poison subsequent reads.
## Security model
Skills are agent-authored content loaded into future prompt context. That makes
them a classic agent-to-agent prompt-injection vector. The plan explicitly
addresses this with multiple layers:
| Layer | What | Where |
|-------|------|-------|
| L1-L3 | Datamarking, hidden-element strip, ARIA regex, URL blocklist | `content-security.ts` (compiled binary) |
| L4 | TestSavantAI ONNX classifier | `security-classifier.ts` (sidebar-agent, non-compiled) |
| L4b | Claude Haiku transcript classifier | `security-classifier.ts` (sidebar-agent) |
| L5 | Canary token leak detection | `security.ts` |
L1-L3 checks run at **save time** (in the daemon). The L4 ML classifier runs at
**load time** (in sidebar-agent), so each session that loads a skill into its
prompt also re-validates the content. This catches issues that only manifest
after a classifier model update.
The save command derives the hostname from the **active tab's top-level
origin**, not from agent arguments. This closes a confused-deputy bug Codex
flagged: a malicious page redirect chain could otherwise trick the agent into
poisoning a different domain.
## Error reference
| Error | Cause | Action |
|-------|-------|--------|
| `Save blocked: classifier flagged content as potential injection` | L4 score ≥ 0.85 at save | Rewrite the skill removing instruction-like prose; retry. |
| `Save blocked: <L1-L3 message>` | URL blocklist match or ARIA injection at save | Review skill body for suspicious patterns. |
| `Save failed: empty body` | No content via stdin or `--from-file` | Pipe markdown into `$B domain-skill save`, or pass `--from-file <path>`. |
| `Cannot save domain-skill: no top-level URL on active tab` | Tab is `about:blank` or `chrome://...` | `$B goto <target-site>` first, then save. |
| `Cannot promote: skill is in state "quarantined"` | Skill hasn't auto-promoted yet | Use it in this project until 3 successful runs without classifier flags. |
| `Cannot rollback: <host> has fewer than 2 versions` | Only one version exists | Use `$B domain-skill rm` to delete instead. |
## Telemetry
When telemetry is enabled (default `community` mode unless turned off), the
following events are written to `~/.gstack/analytics/browse-telemetry.jsonl`:
- `domain_skill_saved {host, scope, state, bytes}`
- `domain_skill_save_blocked {host, reason}`
- `domain_skill_fired {host, source, version}`
- `domain_skill_state_changed {host, from_state, to_state}` (planned)
Hostname only — no body content, no agent text. Disable entirely with
`gstack-config set telemetry off` or `GSTACK_TELEMETRY_OFF=1`.