* docs(readme): cut the README to the first ten minutes; move everything else to docs/ pages verbatim (GSTA-99) Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * fix: pre-landing review fixes Restore the /setup-gbrain code block the README split left open: README.md kept the ```bash opener and docs/gbrain-quick-tour.md got only the closing fence, so both pages rendered their body as one code block. Drop the self-referential 'Full reference' link in docs/domain-skills.md and make the troubleshooting quick-answer link an in-page anchor. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: describe the proactive core-set default in why-gstack The moved 'Proactive skill suggestions' paragraph now documents the four-skill core set, gstack-config set proactive core|all|off and the docs/proactive.md page that #3432 (gsta-99-proactive-core) adds; the CHANGELOG names it as the one non-verbatim paragraph of the move. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * fix: pre-landing review fixes (round 2) Promote docs/uninstall.md's moved sections from ### to ## so the page outline matches the other pages the README split created; no inbound link targets those anchors. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: documentation audit fixes The README Docs table no longer claims docs/standalone-binaries.md covers every gstack-* CLI (it documents the standalone ones), and docs/ADDING_A_HOST.md step 6 points at the README host-matrix row and docs/hosts.md, where the per-host notes now live. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: disclose the update check fully and list every setup hook The README privacy summary now names both GitHub requests the update check makes and the version/OS report it adds with telemetry on, as the full text it replaced did. docs/install.md's hooks section lists the team-mode SessionStart hook and the AskUserQuestion PreToolUse/PostToolUse hooks beside the timeline Stop hook. * docs: name the update check's conditional compare-API request bin/gstack-update-check also GETs api.github.com's compare endpoint when the remote VERSION equals the local one but main has moved; the README privacy summary and docs/privacy.md now list it beside the ls-remote and VERSION fetch (documentation audit). * fix: pre-landing review fixes (merge resolution) docs/install.md:21 carried main's stable-channel sentence twice after the merge, the second copy with its backticked spans stripped; the paragraph again matches README.md:41 verbatim with the relative link. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: say outside reviews are on by default in the README privacy summary The one-paragraph summary dropped the default-on disclosure the full text kept; mirror docs/privacy.md's parenthetical so the top-level page says which path sends code off-machine without an opt-in. * v1.91.246.0 stamp Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> --------- Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com>
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Domain Skills
Scope: domain-skills are a feature of gstack's own browser engine (
$B), the fallback that runs when the Aside browser is absent (Linux, Windows, a closed Aside app). Skills driving Aside record per-project learnings through/learninstead. See BROWSER.md.
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. 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
# 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/learnskill uses. Domain skills aretype:"domain"rows. - Global:
~/.gstack/global-domain-skills.jsonl— onlystate:"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.
In brief: domain skills and the raw CDP escape hatch
Two browser primitives in gstack's own engine (the fallback path when Aside isn't there) compound the agent over time:
$B domain-skill save— agent saves a per-site note (e.g., "LinkedIn's Apply button lives in an iframe") that fires automatically next time it visits that hostname. Quarantined → active after 3 successful uses → optional cross-project promotion via$B domain-skill promote-to-global. Storage lives alongside/learn's per-project learnings file.$B cdp <Domain.method>— raw Chrome DevTools Protocol escape hatch for the rare case curated commands miss. Deny-default: methods must be explicitly added tobrowse/src/cdp-allowlist.tswith a one-line justification. Two-tier mutex serializes browser-scoped CDP calls against per-tab work. Output for data-exfil methods is wrapped in the UNTRUSTED envelope.
Want raw CDP with no rails, no allowlist, no daemon — just thin transport from agent to Chrome? browser-use/browser-harness-js is a different philosophy (agent-authored helpers vs gstack's curated commands) and a good fit if you don't want gstack's security stack. The two can coexist: gstack's
$B cdpand harness can both attach to the same Chrome via Playwright'snewCDPSession.