How do I install the Browse skill?

Run npx skillmds@latest add charlieviettq/browse in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Browse skill do?

Fast headless browser for QA testing and site dogfooding. (gstack). It is listed under Coding & Dev Tools on SkillMD.

Is Browse safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Browse?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Browse free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Browse?

charlieviettq (@charlieviettq) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Browse by charlieviettq — Agent Skill

Name: Browse
Author: charlieviettq

When to invoke this skill

Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this".

Preamble (run first)

_UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -exec rm {} + 2>/dev/null || true
_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
_PROACTIVE_PROMPTED=$([ -f ~/.gstack/.proactive-prompted ] && echo "yes" || echo "no")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
_SKILL_PREFIX=$(~/.claude/skills/gstack/bin/gstack-config get skill_prefix 2>/dev/null || echo "false")
echo "PROACTIVE: $_PROACTIVE"
echo "PROACTIVE_PROMPTED: $_PROACTIVE_PROMPTED"
echo "SKILL_PREFIX: $_SKILL_PREFIX"
source <(~/.claude/skills/gstack/bin/gstack-repo-mode 2>/dev/null) || true
REPO_MODE=${REPO_MODE:-unknown}
echo "REPO_MODE: $REPO_MODE"
_SESSION_KIND=$(~/.claude/skills/gstack/bin/gstack-session-kind 2>/dev/null || echo "interactive")
case "$_SESSION_KIND" in spawned|headless|interactive) ;; *) _SESSION_KIND="interactive" ;; esac
echo "SESSION_KIND: $_SESSION_KIND"
# Conductor host: AskUserQuestion is unreliable here (native disabled, MCP
# variant flaky), so skills render decisions as prose instead of calling the
# tool. Gated on !headless so an eval/CI run INSIDE Conductor (GSTACK_HEADLESS)
# still BLOCKs rather than rendering prose to nobody.
if [ "$_SESSION_KIND" != "headless" ] && { [ -n "${CONDUCTOR_WORKSPACE_PATH:-}" ] || [ -n "${CONDUCTOR_PORT:-}" ]; }; then
  echo "CONDUCTOR_SESSION: true"
fi
_ACTIVATED=$([ -f ~/.gstack/.activated ] && echo "yes" || echo "no")
_FIRST_LOOP_SHOWN=$([ -f ~/.gstack/.first-loop-tip-shown ] && echo "yes" || echo "no")
echo "ACTIVATED: $_ACTIVATED"
echo "FIRST_LOOP_SHOWN: $_FIRST_LOOP_SHOWN"
# First-run project detection: run the detector ONLY on the first-ever skill run
# (ACTIVATED=no, interactive) so it stays off the hot path for every run after.
_FIRST_TASK=""
if [ "$_ACTIVATED" = "no" ] && [ "$_SESSION_KIND" != "headless" ]; then
  _FIRST_TASK=$(~/.claude/skills/gstack/bin/gstack-first-task-detect 2>/dev/null || true)
fi
echo "FIRST_TASK: $_FIRST_TASK"
_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
echo "LAKE_INTRO: $_LAKE_SEEN"
_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true)
_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
echo "TELEMETRY: ${_TEL:-off}"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
_EXPLAIN_LEVEL=$(~/.claude/skills/gstack/bin/gstack-config get explain_level 2>/dev/null || echo "default")
if [ "$_EXPLAIN_LEVEL" != "default" ] && [ "$_EXPLAIN_LEVEL" != "terse" ]; then _EXPLAIN_LEVEL="default"; fi
echo "EXPLAIN_LEVEL: $_EXPLAIN_LEVEL"
_QUESTION_TUNING=$(~/.claude/skills/gstack/bin/gstack-config get question_tuning 2>/dev/null || echo "false")
echo "QUESTION_TUNING: $_QUESTION_TUNING"
mkdir -p ~/.gstack/analytics
if [ "$_TEL" != "off" ]; then
echo '{"skill":"browse","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(_repo=$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null | tr -cd 'a-zA-Z0-9._-'); echo "${_repo:-unknown}")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
fi
for _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do
  if [ -f "$_PF" ]; then
    if [ "$_TEL" != "off" ] && [ -x "~/.claude/skills/gstack/bin/gstack-telemetry-log" ]; then
      ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true
    fi
    rm -f "$_PF" 2>/dev/null || true
  fi
  break
done
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" 2>/dev/null || true
_LEARN_FILE="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.claude/skills/gstack/bin/gstack-learnings-search --limit 3 2>/dev/null || true
  fi
else
  echo "LEARNINGS: 0"
fi
~/.claude/skills/gstack/bin/gstack-timeline-log '{"skill":"browse","event":"started","branch":"'"$_BRANCH"'","session":"'"$_SESSION_ID"'"}' 2>/dev/null &
_HAS_ROUTING="no"
if [ -f CLAUDE.md ] && grep -q "## Skill routing" CLAUDE.md 2>/dev/null; then
  _HAS_ROUTING="yes"
fi
_ROUTING_DECLINED=$(~/.claude/skills/gstack/bin/gstack-config get routing_declined 2>/dev/null || echo "false")
echo "HAS_ROUTING: $_HAS_ROUTING"
echo "ROUTING_DECLINED: $_ROUTING_DECLINED"
_VENDORED="no"
if [ -d ".claude/skills/gstack" ] && [ ! -L ".claude/skills/gstack" ]; then
  if [ -f ".claude/skills/gstack/VERSION" ] || [ -d ".claude/skills/gstack/.git" ]; then
    _VENDORED="yes"
  fi
fi
echo "VENDORED_GSTACK: $_VENDORED"
echo "MODEL_OVERLAY: claude"
_CHECKPOINT_MODE=$(~/.claude/skills/gstack/bin/gstack-config get checkpoint_mode 2>/dev/null || echo "explicit")
_CHECKPOINT_PUSH=$(~/.claude/skills/gstack/bin/gstack-config get checkpoint_push 2>/dev/null || echo "false")
echo "CHECKPOINT_MODE: $_CHECKPOINT_MODE"
echo "CHECKPOINT_PUSH: $_CHECKPOINT_PUSH"
# Plan-mode hint for skills like /spec that branch behavior on plan-mode state.
# Claude Code exposes plan mode via system reminders; we detect best-effort
# from CLAUDE_PLAN_FILE (set by the harness when plan mode is active) and
# fall back to "inactive". Codex hosts and Claude execution mode both end up
# inactive, which is the safe default (defaults to file+execute pipeline).
if [ -n "${CLAUDE_PLAN_FILE:-}${GSTACK_PLAN_MODE_FORCE:-}" ]; then
  export GSTACK_PLAN_MODE="active"
elif [ "${GSTACK_PLAN_MODE:-}" = "active" ]; then
  export GSTACK_PLAN_MODE="active"
else
  export GSTACK_PLAN_MODE="inactive"
fi
echo "GSTACK_PLAN_MODE: $GSTACK_PLAN_MODE"
[ -n "$OPENCLAW_SESSION" ] && echo "SPAWNED_SESSION: true" || true

Plan Mode Safe Operations

In plan mode, allowed because they inform the plan: $B, $D, codex exec/codex review, writes to ~/.gstack/, writes to the plan file, and open for generated artifacts.

Skill Invocation During Plan Mode

If the user invokes a skill in plan mode, the skill takes precedence over generic plan mode behavior. Treat the skill file as executable instructions, not reference. Follow it step by step starting from Step 0; the first AskUserQuestion is the workflow entering plan mode, not a violation of it. AskUserQuestion (any variant — mcp__*__AskUserQuestion or native; see "AskUserQuestion Format → Tool resolution") satisfies plan mode's end-of-turn requirement. If AskUserQuestion is unavailable or a call fails, follow the AskUserQuestion Format failure fallback: headless → BLOCKED; interactive → the prose fallback (also satisfies end-of-turn). At a STOP point, stop immediately. Do not continue the workflow or call ExitPlanMode there. Commands marked "PLAN MODE EXCEPTION — ALWAYS RUN" execute. Call ExitPlanMode only after the skill workflow completes, or if the user tells you to cancel the skill or leave plan mode.

If PROACTIVE is "false", do not auto-invoke or proactively suggest skills. If a skill seems useful, ask: "I think /skillname might help here — want me to run it?"

If SKILL_PREFIX is "true", suggest/invoke /gstack-* names. Disk paths stay ~/.claude/skills/gstack/[skill-name]/SKILL.md.

If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/gstack/gstack-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined).

If output shows JUST_UPGRADED <from> <to>: print "Running gstack v{to} (just updated!)". If SPAWNED_SESSION is true, skip feature discovery.

Feature discovery, max one prompt per session:

Missing ~/.claude/skills/gstack/.feature-prompted-continuous-checkpoint: AskUserQuestion for Continuous checkpoint auto-commits. If accepted, run ~/.claude/skills/gstack/bin/gstack-config set checkpoint_mode continuous. Always touch marker.
Missing ~/.claude/skills/gstack/.feature-prompted-model-overlay: inform "Model overlays are active. MODEL_OVERLAY shows the patch." Always touch marker.

After upgrade prompts, continue workflow.

If WRITING_STYLE_PENDING is yes: ask once about writing style:

v1 prompts are simpler: first-use jargon glosses, outcome-framed questions, shorter prose. Keep default or restore terse?

Options:

A) Keep the new default (recommended — good writing helps everyone)
B) Restore V0 prose — set explain_level: terse

If A: leave explain_level unset (defaults to default). If B: run ~/.claude/skills/gstack/bin/gstack-config set explain_level terse.

Always run (regardless of choice):

rm -f ~/.gstack/.writing-style-prompt-pending
touch ~/.gstack/.writing-style-prompted

Skip if WRITING_STYLE_PENDING is no.

If LAKE_INTRO is no: say "gstack follows the Boil the Ocean principle — do the complete thing when AI makes marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean" Offer to open:

open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen

Only run open if yes. Always run touch.

If TEL_PROMPTED is no AND LAKE_INTRO is yes: ask telemetry once via AskUserQuestion:

Help gstack get better. Share usage data only: skill, duration, crashes, stable device ID. No code or file paths. Your repo name is recorded locally only and stripped before any upload.

Options:

A) Help gstack get better! (recommended)
B) No thanks

If A: run ~/.claude/skills/gstack/bin/gstack-config set telemetry community

If B: ask follow-up:

Anonymous mode sends only aggregate usage, no unique ID.

Options:

A) Sure, anonymous is fine
B) No thanks, fully off

If B→A: run ~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous If B→B: run ~/.claude/skills/gstack/bin/gstack-config set telemetry off

Always run:

touch ~/.gstack/.telemetry-prompted

Skip if TEL_PROMPTED is yes.

If PROACTIVE_PROMPTED is no AND TEL_PROMPTED is yes: ask once:

Let gstack proactively suggest skills, like /qa for "does this work?" or /investigate for bugs?

Options:

A) Keep it on (recommended)
B) Turn it off — I'll type /commands myself

If A: run ~/.claude/skills/gstack/bin/gstack-config set proactive true If B: run ~/.claude/skills/gstack/bin/gstack-config set proactive false

Always run:

touch ~/.gstack/.proactive-prompted

Skip if PROACTIVE_PROMPTED is yes.

First-run guidance (one-time)

If ACTIVATED is no (first skill run on this machine) AND the preamble printed a non-empty FIRST_TASK: value that is NOT nongit: show ONE short, project-specific line mapped from the token, as a heads-up, then CONTINUE with whatever the user actually asked — do NOT halt their task. Map the token: greenfield → "Fresh repo — shape it first with /spec or /office-hours." code_node/code_python/code_rust/code_go/code_ruby/code_ios → "There's code here — /qa to see it work, or /investigate if something's off." branch_ahead → "Unshipped work on this branch — /review then /ship." dirty_default → "Uncommitted changes — /review before committing." clean_default → "Pick one: /spec, /investigate, or /qa." Then substitute the token you saw for TASK_TOKEN and run (best-effort), and mark activated:

~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type first_task_scaffold_shown --skill "TASK_TOKEN" --outcome shown 2>/dev/null || true
touch ~/.gstack/.activated 2>/dev/null || true

If ACTIVATED is no but FIRST_TASK: is empty or nongit (headless, non-git, or nothing actionable): show nothing, just run touch ~/.gstack/.activated 2>/dev/null || true.

Else if ACTIVATED is yes AND FIRST_LOOP_SHOWN is no: say once as a heads-up (then continue):

Tip: gstack pays off when you complete one loop — plan → review → ship. A common first loop: /office-hours or /spec to shape it, /plan-eng-review to lock it, then /ship.

Then run touch ~/.gstack/.first-loop-tip-shown 2>/dev/null || true.

Skip this section if ACTIVATED and FIRST_LOOP_SHOWN are both yes.

If HAS_ROUTING is no AND ROUTING_DECLINED is false AND PROACTIVE_PROMPTED is yes: Check if a CLAUDE.md file exists in the project root. If it does not exist, create it.

Use AskUserQuestion:

gstack works best when your project's CLAUDE.md includes skill routing rules.

Options:

A) Add routing rules to CLAUDE.md (recommended)
B) No thanks, I'll invoke skills manually

If A: Append this section to the end of CLAUDE.md:


## Skill routing

When the user's request matches an available skill, invoke it via the Skill tool. When in doubt, invoke the skill.

Key routing rules:
- Product ideas/brainstorming → invoke /office-hours
- Strategy/scope → invoke /plan-ceo-review
- Architecture → invoke /plan-eng-review
- Design system/plan review → invoke /design-consultation or /plan-design-review
- Full review pipeline → invoke /autoplan
- Bugs/errors → invoke /investigate
- QA/testing site behavior → invoke /qa or /qa-only
- Code review/diff check → invoke /review
- Visual polish → invoke /design-review
- Ship/deploy/PR → invoke /ship or /land-and-deploy
- Save progress → invoke /context-save
- Resume context → invoke /context-restore
- Author a backlog-ready spec/issue → invoke /spec

Then commit the change: git add CLAUDE.md && git commit -m "chore: add gstack skill routing rules to CLAUDE.md"

If B: run ~/.claude/skills/gstack/bin/gstack-config set routing_declined true and say they can re-enable with gstack-config set routing_declined false.

This only happens once per project. Skip if HAS_ROUTING is yes or ROUTING_DECLINED is true.

If VENDORED_GSTACK is yes, warn once via AskUserQuestion unless ~/.gstack/.vendoring-warned-$SLUG exists:

This project has gstack vendored in .claude/skills/gstack/. Vendoring is deprecated. Migrate to team mode?

Options:

A) Yes, migrate to team mode now
B) No, I'll handle it myself

If A:

Run git rm -r .claude/skills/gstack/
Run echo '.claude/skills/gstack/' >> .gitignore
Run ~/.claude/skills/gstack/bin/gstack-team-init required (or optional)
Run git add .claude/ .gitignore CLAUDE.md && git commit -m "chore: migrate gstack from vendored to team mode"
Tell the user: "Done. Each developer now runs: cd ~/.claude/skills/gstack && ./setup --team"

If B: say "OK, you're on your own to keep the vendored copy up to date."

Always run (regardless of choice):

eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" 2>/dev/null || true
touch ~/.gstack/.vendoring-warned-${SLUG:-unknown}

If marker exists, skip.

If SPAWNED_SESSION is "true", you are running inside a session spawned by an AI orchestrator (e.g., OpenClaw). In spawned sessions:

Do NOT use AskUserQuestion for interactive prompts. Auto-choose the recommended option.
Do NOT run upgrade checks, telemetry prompts, routing injection, or lake intro.
Focus on completing the task and reporting results via prose output.
End with a completion report: what shipped, decisions made, anything uncertain.

Artifacts Sync (skill start)

_GSTACK_HOME="${GSTACK_HOME:-$HOME/.gstack}"
# Prefer the v1.27.0.0 artifacts file; fall back to brain file for users
# upgrading mid-stream before the migration script runs.
if [ -f "$HOME/.gstack-artifacts-remote.txt" ]; then
  _BRAIN_REMOTE_FILE="$HOME/.gstack-artifacts-remote.txt"
else
  _BRAIN_REMOTE_FILE="$HOME/.gstack-brain-remote.txt"
fi
_BRAIN_SYNC_BIN="~/.claude/skills/gstack/bin/gstack-brain-sync"
_BRAIN_CONFIG_BIN="~/.claude/skills/gstack/bin/gstack-config"

# /sync-gbrain context-load: teach the agent to use gbrain when it's available.
# Per-worktree pin: post-spike redesign uses kubectl-style `.gbrain-source` in the
# git toplevel to scope queries. Look for the pin in the worktree (not a global
# state file) so that opening worktree B without a pin doesn't claim "indexed"
# just because worktree A was synced. Empty string when gbrain is not
# configured (zero context cost for non-gbrain users).
_GBRAIN_CONFIG="$HOME/.gbrain/config.json"
if [ -f "$_GBRAIN_CONFIG" ] && command -v gbrain >/dev/null 2>&1; then
  _GBRAIN_VERSION_OK=$(gbrain --version 2>/dev/null | grep -c '^gbrain ' || echo 0)
  if [ "$_GBRAIN_VERSION_OK" -gt 0 ] 2>/dev/null; then
    _GBRAIN_PIN_PATH=""
    _REPO_TOP=$(git rev-parse --show-toplevel 2>/dev/null || echo "")
    if [ -n "$_REPO_TOP" ] && [ -f "$_REPO_TOP/.gbrain-source" ]; then
      _GBRAIN_PIN_PATH="$_REPO_TOP/.gbrain-source"
    fi
    if [ -n "$_GBRAIN_PIN_PATH" ]; then
      echo "GBrain configured. Prefer \`gbrain search\`/\`gbrain query\` over Grep for"
      echo "semantic questions; use \`gbrain code-def\`/\`code-refs\`/\`code-callers\` for"
      echo "symbol-aware code lookup. See \"## GBrain Search Guidance\" in CLAUDE.md."
      echo "Run /sync-gbrain to refresh."
    else
      echo "GBrain configured but this worktree isn't pinned yet. Run \`/sync-gbrain --full\`"
      echo "before relying on \`gbrain search\` for code questions in this worktree."
      echo "Falls back to Grep until pinned."
    fi
  fi
fi

_BRAIN_SYNC_MODE=$("$_BRAIN_CONFIG_BIN" get artifacts_sync_mode 2>/dev/null || echo off)

# Detect remote-MCP mode (Path 4 of /setup-gbrain). Local artifacts sync is
# a no-op in remote mode; the brain server pulls from GitHub/GitLab on its
# own cadence. Read claude.json directly to keep this preamble fast (no
# subprocess to claude CLI on every skill start).
_GBRAIN_MCP_MODE="none"
if command -v jq >/dev/null 2>&1 && [ -f "$HOME/.claude.json" ]; then
  _GBRAIN_MCP_TYPE=$(jq -r '.mcpServers.gbrain.type // .mcpServers.gbrain.transport // empty' "$HOME/.claude.json" 2>/dev/null)
  case "$_GBRAIN_MCP_TYPE" in
    url|http|sse) _GBRAIN_MCP_MODE="remote-http" ;;
    stdio) _GBRAIN_MCP_MODE="local-stdio" ;;
  esac
fi

if [ -f "$_BRAIN_REMOTE_FILE" ] && [ ! -d "$_GSTACK_HOME/.git" ] && [ "$_BRAIN_SYNC_MODE" = "off" ]; then
  _BRAIN_NEW_URL=$(head -1 "$_BRAIN_REMOTE_FILE" 2>/dev/null | tr -d '[:space:]')
  if [ -n "$_BRAIN_NEW_URL" ]; then
    echo "ARTIFACTS_SYNC: artifacts repo detected: $_BRAIN_NEW_URL"
    echo "ARTIFACTS_SYNC: run 'gstack-brain-restore' to pull your cross-machine artifacts (or 'gstack-config set artifacts_sync_mode off' to dismiss forever)"
  fi
fi

if [ -d "$_GSTACK_HOME/.git" ] && [ "$_BRAIN_SYNC_MODE" != "off" ]; then
  _BRAIN_LAST_PULL_FILE="$_GSTACK_HOME/.brain-last-pull"
  _BRAIN_NOW=$(date +%s)
  _BRAIN_DO_PULL=1
  if [ -f "$_BRAIN_LAST_PULL_FILE" ]; then
    _BRAIN_LAST=$(cat "$_BRAIN_LAST_PULL_FILE" 2>/dev/null || echo 0)
    _BRAIN_AGE=$(( _BRAIN_NOW - _BRAIN_LAST ))
    [ "$_BRAIN_AGE" -lt 86400 ] && _BRAIN_DO_PULL=0
  fi
  if [ "$_BRAIN_DO_PULL" = "1" ]; then
    ( cd "$_GSTACK_HOME" && git fetch origin >/dev/null 2>&1 && git merge --ff-only "origin/$(git rev-parse --abbrev-ref HEAD)" >/dev/null 2>&1 ) || true
    echo "$_BRAIN_NOW" > "$_BRAIN_LAST_PULL_FILE"
  fi
  "$_BRAIN_SYNC_BIN" --once 2>/dev/null || true
fi

if [ "$_GBRAIN_MCP_MODE" = "remote-http" ]; then
  # Remote-MCP mode: local artifacts sync is a no-op (brain admin's server
  # pulls from GitHub/GitLab). Show the user this is by design, not broken.
  _GBRAIN_HOST=$(jq -r '.mcpServers.gbrain.url // empty' "$HOME/.claude.json" 2>/dev/null | sed -E 's|^https?://([^/:]+).*|\1|')
  echo "ARTIFACTS_SYNC: remote-mode (managed by brain server ${_GBRAIN_HOST:-remote})"
elif [ -d "$_GSTACK_HOME/.git" ] && [ "$_BRAIN_SYNC_MODE" != "off" ]; then
  _BRAIN_QUEUE_DEPTH=0
  [ -f "$_GSTACK_HOME/.brain-queue.jsonl" ] && _BRAIN_QUEUE_DEPTH=$(wc -l < "$_GSTACK_HOME/.brain-queue.jsonl" | tr -d ' ')
  _BRAIN_LAST_PUSH="never"
  [ -f "$_GSTACK_HOME/.brain-last-push" ] && _BRAIN_LAST_PUSH=$(cat "$_GSTACK_HOME/.brain-last-push" 2>/dev/null || echo never)
  echo "ARTIFACTS_SYNC: mode=$_BRAIN_SYNC_MODE | last_push=$_BRAIN_LAST_PUSH | queue=$_BRAIN_QUEUE_DEPTH"
else
  echo "ARTIFACTS_SYNC: off"
fi

Privacy stop-gate: if output shows ARTIFACTS_SYNC: off, artifacts_sync_mode_prompted is false, and gbrain is on PATH or gbrain doctor --fast --json works, ask once:

gstack can publish your artifacts (CEO plans, designs, reports) to a private GitHub repo that GBrain indexes across machines. How much should sync?

Options:

A) Everything allowlisted (recommended)
B) Only artifacts
C) Decline, keep everything local

After answer:

# Chosen mode: full | artifacts-only | off
"$_BRAIN_CONFIG_BIN" set artifacts_sync_mode <choice>
"$_BRAIN_CONFIG_BIN" set artifacts_sync_mode_prompted true

If A/B and ~/.gstack/.git is missing, ask whether to run gstack-artifacts-init. Do not block the skill.

At skill END before telemetry:

"~/.claude/skills/gstack/bin/gstack-brain-sync" --discover-new 2>/dev/null || true
"~/.claude/skills/gstack/bin/gstack-brain-sync" --once 2>/dev/null || true

Model-Specific Behavioral Patch (claude)

The following nudges are tuned for the claude model family. They are subordinate to skill workflow, STOP points, AskUserQuestion gates, plan-mode safety, and /ship review gates. If a nudge below conflicts with skill instructions, the skill wins. Treat these as preferences, not rules.

Todo-list discipline. When working through a multi-step plan, mark each task complete individually as you finish it. Do not batch-complete at the end. If a task turns out to be unnecessary, mark it skipped with a one-line reason.

Think before heavy actions. For complex operations (refactors, migrations, non-trivial new features), briefly state your approach before executing. This lets the user course-correct cheaply instead of mid-flight.

Dedicated tools over Bash. Prefer Read, Edit, Write, Glob, Grep over shell equivalents (cat, sed, find, grep). The dedicated tools are cheaper and clearer.

Voice

Direct, concrete, builder-to-builder. Name the file, function, command, and user-visible impact. No filler.

No em dashes. No AI vocabulary: delve, crucial, robust, comprehensive, nuanced, multifaceted. Never corporate or academic. Short paragraphs. End with what to do.

The user has context you do not. Cross-model agreement is a recommendation, not a decision. The user decides.

Completion Status Protocol

When completing a skill workflow, report status using one of:

DONE — completed with evidence.
DONE_WITH_CONCERNS — completed, but list concerns.
BLOCKED — cannot proceed; state blocker and what was tried.
NEEDS_CONTEXT — missing info; state exactly what is needed.

Escalate after 3 failed attempts, uncertain security-sensitive changes, or scope you cannot verify. Format: STATUS, REASON, ATTEMPTED, RECOMMENDATION.

Operational Self-Improvement

Before completing, if you discovered a durable project quirk or command fix that would save 5+ minutes next time, log it:

~/.claude/skills/gstack/bin/gstack-learnings-log '{"skill":"SKILL_NAME","type":"operational","key":"SHORT_KEY","insight":"DESCRIPTION","confidence":N,"source":"observed"}'

Do not log obvious facts or one-time transient errors.

Telemetry (run last)

After workflow completion, log telemetry. Use skill name: from frontmatter. OUTCOME is success/error/abort/unknown.

PLAN MODE EXCEPTION — ALWAYS RUN: This command writes telemetry to ~/.gstack/analytics/, matching preamble analytics writes.

Run this bash:

_TEL_END=$(date +%s)
_TEL_DUR=$(( _TEL_END - _TEL_START ))
rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true
# Session timeline: record skill completion (local-only, never sent anywhere)
~/.claude/skills/gstack/bin/gstack-timeline-log '{"skill":"SKILL_NAME","event":"completed","branch":"'$(git branch --show-current 2>/dev/null || echo unknown)'","outcome":"OUTCOME","duration_s":"'"$_TEL_DUR"'","session":"'"$_SESSION_ID"'"}' 2>/dev/null || true
# Local analytics (gated on telemetry setting)
if [ "$_TEL" != "off" ]; then
echo '{"skill":"SKILL_NAME","duration_s":"'"$_TEL_DUR"'","outcome":"OUTCOME","browse":"USED_BROWSE","session":"'"$_SESSION_ID"'","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
fi
# Remote telemetry (opt-in, requires binary)
if [ "$_TEL" != "off" ] && [ -x ~/.claude/skills/gstack/bin/gstack-telemetry-log ]; then
  ~/.claude/skills/gstack/bin/gstack-telemetry-log \
    --skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \
    --used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null &
fi

Replace SKILL_NAME, OUTCOME, and USED_BROWSE before running.

Plan Status Footer

Skills that run plan reviews (/plan-*-review, /codex review) include the EXIT PLAN MODE GATE blocking checklist at the end of the skill, which verifies the plan file ends with ## GSTACK REVIEW REPORT before ExitPlanMode is called. Skills that don't run plan reviews (operational skills like /ship, /qa, /review) typically don't operate in plan mode and have no review report to verify; this footer is a no-op for them. Writing the plan file is the one edit allowed in plan mode.

browse: QA Testing & Dogfooding

Persistent headless Chromium. First call auto-starts (~3s), then ~100ms per command. State persists between calls (cookies, tabs, login sessions).

SETUP (run this check BEFORE any browse command)

_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.claude/skills/gstack/browse/dist/browse" ] && B="$_ROOT/.claude/skills/gstack/browse/dist/browse"
[ -z "$B" ] && B="$HOME/.claude/skills/gstack/browse/dist/browse"
if [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi

If NEEDS_SETUP:

Tell the user: "gstack browse needs a one-time build (~10 seconds). OK to proceed?" Then STOP and wait.
Run: cd <SKILL_DIR> && ./setup

If bun is not installed:

if ! command -v bun >/dev/null 2>&1; then
  BUN_VERSION="1.3.10"
  BUN_INSTALL_SHA="bab8acfb046aac8c72407bdcce903957665d655d7acaa3e11c7c4616beae68dd"
  tmpfile=$(mktemp)
  curl -fsSL "https://bun.sh/install" -o "$tmpfile"
  actual_sha=$(shasum -a 256 "$tmpfile" | awk '{print $1}')
  if [ "$actual_sha" != "$BUN_INSTALL_SHA" ]; then
    echo "ERROR: bun install script checksum mismatch" >&2
    echo "  expected: $BUN_INSTALL_SHA" >&2
    echo "  got:      $actual_sha" >&2
    rm "$tmpfile"; exit 1
  fi
  BUN_VERSION="$BUN_VERSION" bash "$tmpfile"
  rm "$tmpfile"
fi

Core QA Patterns

1. Verify a page loads correctly

$B goto https://yourapp.com
$B text                          # content loads?
$B console                       # JS errors?
$B network                       # failed requests?
$B is visible ".main-content"    # key elements present?

2. Test a user flow

$B goto https://app.com/login
$B snapshot -i                   # see all interactive elements
$B fill @e3 "user@test.com"
$B fill @e4 "password"
$B click @e5                     # submit
$B snapshot -D                   # diff: what changed after submit?
$B is visible ".dashboard"       # success state present?

3. Verify an action worked

$B snapshot                      # baseline
$B click @e3                     # do something
$B snapshot -D                   # unified diff shows exactly what changed

4. Visual evidence for bug reports

$B snapshot -i -a -o /tmp/annotated.png   # labeled screenshot
$B screenshot /tmp/bug.png                # plain screenshot
$B console                                # error log

5. Find all clickable elements (including non-ARIA)

$B snapshot -C                   # finds divs with cursor:pointer, onclick, tabindex
$B click @c1                     # interact with them

6. Assert element states

$B is visible ".modal"
$B is enabled "#submit-btn"
$B is disabled "#submit-btn"
$B is checked "#agree-checkbox"
$B is editable "#name-field"
$B is focused "#search-input"
$B js "document.body.textContent.includes('Success')"

7. Test responsive layouts

$B responsive /tmp/layout        # mobile + tablet + desktop screenshots
$B viewport 375x812              # or set specific viewport
$B screenshot /tmp/mobile.png

8. Test file uploads

$B upload "#file-input" /path/to/file.pdf
$B is visible ".upload-success"

9. Test dialogs

$B dialog-accept "yes"           # set up handler
$B click "#delete-button"        # trigger dialog
$B dialog                        # see what appeared
$B snapshot -D                   # verify deletion happened

10. Compare environments

$B diff https://staging.app.com https://prod.app.com

11. Show screenshots to the user

After $B screenshot, $B snapshot -a -o, or $B responsive, always use the Read tool on the output PNG(s) so the user can see them. Without this, screenshots are invisible.

12. Render local HTML (no HTTP server needed)

Two paths, pick the cleaner one:

# HTML file on disk → goto file:// (absolute, or cwd-relative)
$B goto file:///tmp/report.html
$B goto file://./docs/page.html        # cwd-relative
$B goto file://~/Documents/page.html   # home-relative

# HTML generated in memory → load-html reads the file into setContent
echo '<div class="tweet">hello</div>' > /tmp/tweet.html
$B load-html /tmp/tweet.html

goto file://... is usually cleaner (URL is saved in state, relative asset URLs resolve against the file's dir, scale changes replay naturally). load-html uses page.setContent() — URL stays about:blank, but the content survives viewport --scale via in-memory replay. Both are scoped to files under cwd or $TMPDIR.

13. Retina screenshots (deviceScaleFactor)

$B viewport 480x600 --scale 2       # 2x deviceScaleFactor
$B load-html /tmp/tweet.html        # or: $B goto file://./tweet.html
$B screenshot /tmp/out.png --selector .tweet-card
# → /tmp/out.png is 2x the pixel dimensions of the element

Scale must be 1-3 (gstack policy cap). Changing --scale recreates the browser context; refs from snapshot are invalidated (rerun snapshot), but load-html content is replayed automatically. Not supported in headed mode.

14. Offline render mode (rasterize your own HTML/JSON, zero network)

This is the blessed path for "I just want to turn my own local HTML or JSON into a PNG/PDF/bytes on disk" — Excalidraw diagrams, tweet/quote cards, og-images, report rasterization. It is plain headless, shared Chromium, no proxy, no Xvfb, no anti-bot stealth. Default $B is already exactly this; you do not pass --headed or --proxy. One Chromium per box, shared by every skill — do not npm i puppeteer and ship a second browser (see the note under the cheatsheet).

Two output shapes, pick by what you have:

A) Visual output → screenshot --selector (preferred). If the thing you want is a picture of something on the page, screenshot it. The PNG is written from the browser process straight to disk — the image bytes never cross the CDP wire.

echo '<div id="card" style="width:400px;height:200px;background:#1da1f2;color:#fff;padding:20px">hi</div>' > /tmp/card.html
$B viewport 480x600 --scale 2
$B load-html /tmp/card.html
$B screenshot /tmp/card.png --selector '#card'   # disk path — no megabytes over CDP

(Use the disk path, NOT screenshot --base64 — base64 serializes the bytes back through the command channel, which is the cost you're trying to avoid.)

B) Bytes a function returns → js --out / eval --out. When a library hands you the result as a return value (a base64 data URL, a blob, computed JSON) rather than painting a stable element — e.g. Excalidraw's export function returns a PNG data URL — write the evaluate result straight to disk. --out decodes a data:*;base64,... result to raw bytes automatically (pass --raw to write the literal string). The payload is written by the daemon and never serialized back out to the CLI/stdout.

# Load the render bundle, signal readiness, then render-to-file.
$B load-html /tmp/excalidraw-export.html        # bundle sets window.__render + a #done flag
$B wait '#done'                                  # deterministic ready handshake
$B js "window.__render(SCENE_JSON)" --out /tmp/diagram.png   # data URL → decoded PNG on disk

--out is a WRITE: it needs the write scope and is never allowed over the pair-agent tunnel (a remote agent can't write to your disk). Parent directories are created; malformed base64 errors instead of writing corrupt bytes. Pick A when you can (no CDP transfer at all); reach for B only when the bytes come back as a return value.

Puppeteer → browse cheatsheet

Migrating from Puppeteer? Here's the 1:1 mapping for the core workflow:

Puppeteer	browse
`await page.goto(url)`	`$B goto <url>`
`await page.setContent(html)`	`$B load-html <file>` (or `$B goto file://<abs>`)
`await page.setViewport({width, height})`	`$B viewport WxH`
`await page.setViewport({width, height, deviceScaleFactor: 2})`	`$B viewport WxH --scale 2`
`await (await page.$('.x')).screenshot({path})`	`$B screenshot <path> --selector .x`
`await page.screenshot({fullPage: true, path})`	`$B screenshot <path>` (full page default)
`await page.screenshot({clip: {x, y, w, h}, path})`	`$B screenshot <path> --clip x,y,w,h`
`const r = await page.evaluate(fn)`	`$B js "<expr>"` (result to stdout)
`fs.writeFileSync(out, Buffer.from(dataUrl.split(',')[1],'base64'))`	`$B js "<expr>" --out <file>` (data URL auto-decoded)

Worked example (the tweet-renderer flow — Puppeteer → browse):

# Generate HTML in memory, render at 2x scale, screenshot the tweet card.
echo '<div class="tweet-card" style="width:400px;height:200px;background:#1da1f2;color:white;padding:20px">hello</div>' > /tmp/tweet.html
$B viewport 480x600 --scale 2
$B load-html /tmp/tweet.html
$B screenshot /tmp/out.png --selector .tweet-card
# /tmp/out.png is 800x400 px, crisp (2x deviceScaleFactor).

Aliases: typing setcontent or set-content routes to load-html automatically. Typing a typo (load-htm) returns Did you mean 'load-html'?.

Don't bundle your own puppeteer/Chromium. browse is the one shared Chromium per box. Skills that need to rasterize local HTML/JSON (diagrams, cards, og-images) should route through browse — screenshot --selector for visual output, load-html + js --out for bytes a function returns — instead of npm i puppeteer and downloading a second Chromium that drifts out of version sync. One install to pin, one daemon's lifecycle to manage.

User Handoff

When you hit something you can't handle in headless mode (CAPTCHA, complex auth, multi-factor login), hand off to the user:

# 1. Open a visible Chrome at the current page
$B handoff "Stuck on CAPTCHA at login page"

# 2. Tell the user what happened (via AskUserQuestion)
#    "I've opened Chrome at the login page. Please solve the CAPTCHA
#     and let me know when you're done."

# 3. When user says "done", re-snapshot and continue
$B resume

When to use handoff:

CAPTCHAs or bot detection
Multi-factor authentication (SMS, authenticator app)
OAuth flows that require user interaction
Complex interactions the AI can't handle after 3 attempts

The browser preserves all state (cookies, localStorage, tabs) across the handoff. After resume, you get a fresh snapshot of wherever the user left off.

Headed Mode + Proxy + Anti-Bot Sites

For sites that block headless browsers, fingerprint Playwright defaults, or require routing through an authenticated SOCKS5 proxy (residential VPN, etc.), browse exposes three coordinated flags:

# Headed mode — visible Chromium window. Auto-spawns Xvfb on Linux
# containers without DISPLAY (no extra setup needed on Debian/Ubuntu).
browse --headed goto https://example.com

# SOCKS5 with auth (Chromium can't prompt for SOCKS5 creds itself —
# browse runs a local 127.0.0.1 bridge that handles the auth handshake).
browse --proxy socks5://user:pass@residential.proxy.host:1080 goto https://example.com

# HTTP/HTTPS proxy (passes through to Chromium directly):
browse --proxy http://corp-proxy:3128 goto https://example.com

# Browser-triggered file download (Content-Disposition, redirect chain,
# anti-bot CDN — falls back from page.request.fetch() to browser native
# download handler):
browse download "https://protected.example.com/file" /tmp/file.bin --navigate

# Combined: headed + proxy + navigate-download
browse --headed --proxy socks5://user:pass@host:1080 \
  download "https://protected.example.com/file" /tmp/file.bin --navigate

Credential policy. Pass creds via either the URL (socks5://user:pass@host) OR the env vars BROWSE_PROXY_USER and BROWSE_PROXY_PASS — never both. Browse refuses with a clear hint when both are set, because silent override creates "works on my machine" debugging traps.

Daemon discipline. Browse runs as a long-lived daemon. --proxy and --headed change daemon-startup config, so they only apply on a fresh daemon. If a daemon is already running with different config, browse refuses and tells you to browse disconnect first. No silent restart that would drop tab state, cookies, or logged-in sessions.

Stealth. When --headed or --proxy are set, browse masks navigator.webdriver (the obvious automation tell) via Chromium's --disable-blink-features=AutomationControlled plus a small init script. We do NOT fake navigator.plugins, navigator.languages, or window.chrome — modern fingerprinters check those for consistency, and synthesizing fixed values can flag MORE bot-like, not less.

Container support. --headed on Linux without DISPLAY automatically picks a free X display (:99, :100, ...) and spawns Xvfb. Cleanup on browse disconnect validates the recorded PID's /proc/<pid>/cmdline matches Xvfb AND start-time matches before sending any signal — no PID-reuse footguns. Standard Debian/Ubuntu containers work out of the box; minimal images (alpine, distroless) may also need fonts/dbus/gtk libs for headed Chromium to render.

Failure modes. SOCKS5 upstream rejected or unreachable → fail-fast at startup with a redacted error after 3 retries (5s budget). Mid-stream upstream drop → browse kills the affected client connection only; no transport retries (which could corrupt browser traffic). Mismatched daemon config → exit 1 with a browse disconnect hint.

Snapshot Flags

The snapshot is your primary tool for understanding and interacting with pages. $B is the browse binary (resolved from $_ROOT/.claude/skills/gstack/browse/dist/browse or ~/.claude/skills/gstack/browse/dist/browse).

Syntax: $B snapshot [flags]

-i        --interactive           Interactive elements only (buttons, links, in

…(truncated)

Browse

File contents

When to invoke this skill

Preamble (run first)

Plan Mode Safe Operations

Skill Invocation During Plan Mode

First-run guidance (one-time)

Artifacts Sync (skill start)

Model-Specific Behavioral Patch (claude)

Voice

Completion Status Protocol

Operational Self-Improvement

Telemetry (run last)

Plan Status Footer

browse: QA Testing & Dogfooding

SETUP (run this check BEFORE any browse command)

Core QA Patterns

1. Verify a page loads correctly

2. Test a user flow

3. Verify an action worked

4. Visual evidence for bug reports

5. Find all clickable elements (including non-ARIA)

6. Assert element states

7. Test responsive layouts

8. Test file uploads

9. Test dialogs

10. Compare environments

11. Show screenshots to the user

12. Render local HTML (no HTTP server needed)

13. Retina screenshots (deviceScaleFactor)

14. Offline render mode (rasterize your own HTML/JSON, zero network)

Puppeteer → browse cheatsheet

User Handoff

Headed Mode + Proxy + Anti-Bot Sites

Snapshot Flags

Frequently asked questions

Browse

File contents

When to invoke this skill

Preamble (run first)

Plan Mode Safe Operations

Skill Invocation During Plan Mode

First-run guidance (one-time)

Artifacts Sync (skill start)

Model-Specific Behavioral Patch (claude)

Voice

Completion Status Protocol

Operational Self-Improvement

Telemetry (run last)

Plan Status Footer

browse: QA Testing & Dogfooding

SETUP (run this check BEFORE any browse command)

Core QA Patterns

1. Verify a page loads correctly

2. Test a user flow

3. Verify an action worked

4. Visual evidence for bug reports

5. Find all clickable elements (including non-ARIA)

6. Assert element states

7. Test responsive layouts

8. Test file uploads

9. Test dialogs

10. Compare environments

11. Show screenshots to the user

12. Render local HTML (no HTTP server needed)

13. Retina screenshots (deviceScaleFactor)

14. Offline render mode (rasterize your own HTML/JSON, zero network)

Puppeteer → browse cheatsheet

User Handoff

Headed Mode + Proxy + Anti-Bot Sites

Snapshot Flags

Related skills

Frequently asked questions

How do I install the Browse skill?

What does the Browse skill do?

Is Browse safe to use?

Which AI agents work with Browse?

Is Browse free to use?

Who published Browse?