Systematically QA test a web application and fix bugs found.

MITAuto-check: notesDevelopment

Install QA

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gstack/qa .claude/skills/qa && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qa
GitHub stars
2.2k
Token cost
~5.8k tokens
SKILL.md length
2,510 words
Files
3 (incl. references)
Skills in repo
972
Repo updated
First seen
Licence
MIT

At a glance

Systematically QA test a web application and fix bugs found.

  • Works in 6 steps: Detect base branch → Triage → Fix Loop → …
  • Fix whats broken
  • SKILL.md covers Preamble (run first), AskUserQuestion Format, Contributor Mode and Step 0: Detect base branch, plus 8 more sections
  • Calls git, gh and curl; reaches bun.sh

What it does

QA is an agent skill from LeoYeAI/openclaw-master-skills. Systematically QA test a web application and fix bugs found. Runs QA testing, then iteratively fixes bugs in source code, committing each fix atomically and re-verifying. Use when asked to "qa", "QA", "test this site", "find bugs", "test and fix", or "fix what's broken". Three tiers: Quick (critical/high only), Standard (+ medium), Exhaustive (+ cosmetic). Produces before/after health scores, fix evidence, and a ship-readiness summary. For report-only mode, use /qa-only.

Its SKILL.md is about 5.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/issue-taxonomy.md` and `templates/qa-report-template.md`).

It sits in Development, covering Debugging, QA and bug reports and Customer success. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Fix whats broken
  • Tasks that involve Debugging
  • Tasks that involve QA and bug reports

Example prompts

  • “test this site”
  • “find bugs”
  • “test and fix”
  • “/qa”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Detect base branch
  2. Triage
  3. Fix Loop
  4. Final QA
  5. Report
  6. TODOS.md Update

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh
    • curl
    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • bun.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

QA loads about 5.8k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 2,510 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~5.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:158
    3. If `bun` is not installed: `curl -fsSL https://bun.sh/install | bash`
  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,510 words, ~5,828 tokens.

Download SKILL.mdSave it as .claude/skills/qa/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
qa
description
Systematically QA test a web application and fix bugs found. Runs QA testing, then iteratively fixes bugs in source code, committing each fix atomically and re-verifying. Use when asked to "qa", "QA", "test this site", "find bugs", "test and fix", or "fix what's broken". Three tiers: Quick (critical/high only), Standard (+ medium), Exhaustive (+ cosmetic). Produces before/after health scores, fix evidence, and a ship-readiness summary. For report-only mode, use /qa-only.
allowed-tools
Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion
version
2.0.0
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->

Preamble (run first)

bash
_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=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true
_CONTRIB=$(~/.claude/skills/gstack/bin/gstack-config get gstack_contributor 2>/dev/null || true)
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"

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 JUST_UPGRADED <from> <to>: tell user "Running gstack v{to} (just updated!)" and continue.

AskUserQuestion Format

ALWAYS follow this structure for every AskUserQuestion call:

  1. Re-ground: State the project, the current branch (use the _BRANCH value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences)
  2. Simplify: Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called.
  3. Recommend: RECOMMENDATION: Choose [X] because [one-line reason]
  4. Options: Lettered options: A) ... B) ... C) ...

Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex.

Per-skill instructions may add additional formatting rules on top of this baseline.

Contributor Mode

If _CONTRIB is true: you are in contributor mode. You're a gstack user who also helps make it better.

At the end of each major workflow step (not after every single command), reflect on the gstack tooling you used. Rate your experience 0 to 10. If it wasn't a 10, think about why. If there is an obvious, actionable bug OR an insightful, interesting thing that could have been done better by gstack code or skill markdown — file a field report. Maybe our contributor will help make us better!

Calibration — this is the bar: For example, $B js "await fetch(...)" used to fail with SyntaxError: await is only valid in async functions because gstack didn't wrap expressions in async context. Small, but the input was reasonable and gstack should have handled it — that's the kind of thing worth filing. Things less consequential than this, ignore.

NOT worth filing: user's app bugs, network errors to user's URL, auth failures on user's site, user's own JS logic bugs.

To file: write ~/.gstack/contributor-logs/{slug}.md with all sections below (do not truncate — include every section through the Date/Version footer):

# {Title}

Hey gstack team — ran into this while using /{skill-name}:

**What I was trying to do:** {what the user/agent was attempting}
**What happened instead:** {what actually happened}
**My rating:** {0-10} — {one sentence on why it wasn't a 10}

## Steps to reproduce
1. {step}

## Raw output

{paste the actual error or unexpected output here}


## What would make this a 10
{one sentence: what gstack should have done differently}

**Date:** {YYYY-MM-DD} | **Version:** {gstack version} | **Skill:** /{skill}

Slug: lowercase, hyphens, max 60 chars (e.g. browse-js-no-await). Skip if file already exists. Max 3 reports per session. File inline and continue — don't stop the workflow. Tell user: "Filed gstack field report: {title}"

Step 0: Detect base branch

Determine which branch this PR targets. Use the result as "the base branch" in all subsequent steps.

  1. Check if a PR already exists for this branch: gh pr view --json baseRefName -q .baseRefName If this succeeds, use the printed branch name as the base branch.

  2. If no PR exists (command fails), detect the repo's default branch: gh repo view --json defaultBranchRef -q .defaultBranchRef.name

  3. If both commands fail, fall back to main.

Print the detected base branch name. In every subsequent git diff, git log, git fetch, git merge, and gh pr create command, substitute the detected branch name wherever the instructions say "the base branch."


/qa: Test → Fix → Verify

You are a QA engineer AND a bug-fix engineer. Test web applications like a real user — click everything, fill every form, check every state. When you find bugs, fix them in source code with atomic commits, then re-verify. Produce a structured report with before/after evidence.

Setup

Parse the user's request for these parameters:

ParameterDefaultOverride example
Target URL(auto-detect or required)https://myapp.com, http://localhost:3000
TierStandard--quick, --exhaustive
Modefull--regression .gstack/qa-reports/baseline.json
Output dir.gstack/qa-reports/Output to /tmp/qa
ScopeFull app (or diff-scoped)Focus on the billing page
AuthNoneSign in to user@example.com, Import cookies from cookies.json

Tiers determine which issues get fixed:

  • Quick: Fix critical + high severity only
  • Standard: + medium severity (default)
  • Exhaustive: + low/cosmetic severity

If no URL is given and you're on a feature branch: Automatically enter diff-aware mode (see Modes below). This is the most common case — the user just shipped code on a branch and wants to verify it works.

Require clean working tree before starting:

bash
if [ -n "$(git status --porcelain)" ]; then
  echo "ERROR: Working tree is dirty. Commit or stash changes before running /qa."
  exit 1
fi

Find the browse binary:

SETUP (run this check BEFORE any browse command)

bash
_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 "$B" ] && B=~/.claude/skills/gstack/browse/dist/browse
if [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi

If NEEDS_SETUP:

  1. Tell the user: "gstack browse needs a one-time build (~10 seconds). OK to proceed?" Then STOP and wait.
  2. Run: cd <SKILL_DIR> && ./setup
  3. If bun is not installed: curl -fsSL https://bun.sh/install | bash

Create output directories:

bash
mkdir -p .gstack/qa-reports/screenshots

Test Plan Context

Before falling back to git diff heuristics, check for richer test plan sources:

  1. Project-scoped test plans: Check ~/.gstack/projects/ for recent *-test-plan-*.md files for this repo
    bash
    SLUG=$(git remote get-url origin 2>/dev/null | sed 's|.*[:/]\([^/]*/[^/]*\)\.git$|\1|;s|.*[:/]\([^/]*/[^/]*\)$|\1|' | tr '/' '-')
    ls -t ~/.gstack/projects/$SLUG/*-test-plan-*.md 2>/dev/null | head -1
  2. Conversation context: Check if a prior /plan-eng-review or /plan-ceo-review produced test plan output in this conversation
  3. Use whichever source is richer. Fall back to git diff analysis only if neither is available.

Phases 1-6: QA Baseline

Modes

Diff-aware (automatic when on a feature branch with no URL)

This is the primary mode for developers verifying their work. When the user says /qa without a URL and the repo is on a feature branch, automatically:

  1. Analyze the branch diff to understand what changed:

    bash
    git diff main...HEAD --name-only
    git log main..HEAD --oneline
  2. Identify affected pages/routes from the changed files:

    • Controller/route files → which URL paths they serve
    • View/template/component files → which pages render them
    • Model/service files → which pages use those models (check controllers that reference them)
    • CSS/style files → which pages include those stylesheets
    • API endpoints → test them directly with $B js "await fetch('/api/...')"
    • Static pages (markdown, HTML) → navigate to them directly
  3. Detect the running app — check common local dev ports:

    bash
    $B goto http://localhost:3000 2>/dev/null && echo "Found app on :3000" || \
    $B goto http://localhost:4000 2>/dev/null && echo "Found app on :4000" || \
    $B goto http://localhost:8080 2>/dev/null && echo "Found app on :8080"

    If no local app is found, check for a staging/preview URL in the PR or environment. If nothing works, ask the user for the URL.

  4. Test each affected page/route:

    • Navigate to the page
    • Take a screenshot
    • Check console for errors
    • If the change was interactive (forms, buttons, flows), test the interaction end-to-end
    • Use snapshot -D before and after actions to verify the change had the expected effect
  5. Cross-reference with commit messages and PR description to understand intent — what should the change do? Verify it actually does that.

  6. Check TODOS.md (if it exists) for known bugs or issues related to the changed files. If a TODO describes a bug that this branch should fix, add it to your test plan. If you find a new bug during QA that isn't in TODOS.md, note it in the report.

  7. Report findings scoped to the branch changes:

    • "Changes tested: N pages/routes affected by this branch"
    • For each: does it work? Screenshot evidence.
    • Any regressions on adjacent pages?

If the user provides a URL with diff-aware mode: Use that URL as the base but still scope testing to the changed files.

Full (default when URL is provided)

Systematic exploration. Visit every reachable page. Document 5-10 well-evidenced issues. Produce health score. Takes 5-15 minutes depending on app size.

Quick (--quick)

30-second smoke test. Visit homepage + top 5 navigation targets. Check: page loads? Console errors? Broken links? Produce health score. No detailed issue documentation.

Regression (--regression <baseline>)

Run full mode, then load baseline.json from a previous run. Diff: which issues are fixed? Which are new? What's the score delta? Append regression section to report.


Workflow

Phase 1: Initialize
  1. Find browse binary (see Setup above)
  2. Create output directories
  3. Copy report template from qa/templates/qa-report-template.md to output dir
  4. Start timer for duration tracking
Phase 2: Authenticate (if needed)

If the user specified auth credentials:

bash
$B goto <login-url>
$B snapshot -i                    # find the login form
$B fill @e3 "user@example.com"
$B fill @e4 "[REDACTED]"         # NEVER include real passwords in report
$B click @e5                      # submit
$B snapshot -D                    # verify login succeeded

If the user provided a cookie file:

bash
$B cookie-import cookies.json
$B goto <target-url>

If 2FA/OTP is required: Ask the user for the code and wait.

If CAPTCHA blocks you: Tell the user: "Please complete the CAPTCHA in the browser, then tell me to continue."

Phase 3: Orient

Get a map of the application:

bash
$B goto <target-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/initial.png"
$B links                          # map navigation structure
$B console --errors               # any errors on landing?

Detect framework (note in report metadata):

  • __next in HTML or _next/data requests → Next.js
  • csrf-token meta tag → Rails
  • wp-content in URLs → WordPress
  • Client-side routing with no page reloads → SPA

For SPAs: The links command may return few results because navigation is client-side. Use snapshot -i to find nav elements (buttons, menu items) instead.

Phase 4: Explore

Visit pages systematically. At each page:

bash
$B goto <page-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/page-name.png"
$B console --errors

Then follow the per-page exploration checklist (see qa/references/issue-taxonomy.md):

  1. Visual scan — Look at the annotated screenshot for layout issues
  2. Interactive elements — Click buttons, links, controls. Do they work?
  3. Forms — Fill and submit. Test empty, invalid, edge cases
  4. Navigation — Check all paths in and out
  5. States — Empty state, loading, error, overflow
  6. Console — Any new JS errors after interactions?
  7. Responsiveness — Check mobile viewport if relevant:
    bash
    $B viewport 375x812
    $B screenshot "$REPORT_DIR/screenshots/page-mobile.png"
    $B viewport 1280x720

Depth judgment: Spend more time on core features (homepage, dashboard, checkout, search) and less on secondary pages (about, terms, privacy).

Quick mode: Only visit homepage + top 5 navigation targets from the Orient phase. Skip the per-page checklist — just check: loads? Console errors? Broken links visible?

Show full SKILL.md (1,078 more words)Show less
Phase 5: Document

Document each issue immediately when found — don't batch them.

Two evidence tiers:

Interactive bugs (broken flows, dead buttons, form failures):

  1. Take a screenshot before the action
  2. Perform the action
  3. Take a screenshot showing the result
  4. Use snapshot -D to show what changed
  5. Write repro steps referencing screenshots
bash
$B screenshot "$REPORT_DIR/screenshots/issue-001-step-1.png"
$B click @e5
$B screenshot "$REPORT_DIR/screenshots/issue-001-result.png"
$B snapshot -D

Static bugs (typos, layout issues, missing images):

  1. Take a single annotated screenshot showing the problem
  2. Describe what's wrong
bash
$B snapshot -i -a -o "$REPORT_DIR/screenshots/issue-002.png"

Write each issue to the report immediately using the template format from qa/templates/qa-report-template.md.

Phase 6: Wrap Up
  1. Compute health score using the rubric below
  2. Write "Top 3 Things to Fix" — the 3 highest-severity issues
  3. Write console health summary — aggregate all console errors seen across pages
  4. Update severity counts in the summary table
  5. Fill in report metadata — date, duration, pages visited, screenshot count, framework
  6. Save baseline — write baseline.json with:
    json
    {
      "date": "YYYY-MM-DD",
      "url": "<target>",
      "healthScore": N,
      "issues": [{ "id": "ISSUE-001", "title": "...", "severity": "...", "category": "..." }],
      "categoryScores": { "console": N, "links": N, ... }
    }

Regression mode: After writing the report, load the baseline file. Compare:

  • Health score delta
  • Issues fixed (in baseline but not current)
  • New issues (in current but not baseline)
  • Append the regression section to the report

Health Score Rubric

Compute each category score (0-100), then take the weighted average.

Console (weight: 15%)
  • 0 errors → 100
  • 1-3 errors → 70
  • 4-10 errors → 40
  • 10+ errors → 10
  • 0 broken → 100
  • Each broken link → -15 (minimum 0)
Per-Category Scoring (Visual, Functional, UX, Content, Performance, Accessibility)

Each category starts at 100. Deduct per finding:

  • Critical issue → -25
  • High issue → -15
  • Medium issue → -8
  • Low issue → -3 Minimum 0 per category.
Weights
CategoryWeight
Console15%
Links10%
Visual10%
Functional20%
UX15%
Performance10%
Content5%
Accessibility15%
Final Score

score = Σ (category_score × weight)


Framework-Specific Guidance

Next.js
  • Check console for hydration errors (Hydration failed, Text content did not match)
  • Monitor _next/data requests in network — 404s indicate broken data fetching
  • Test client-side navigation (click links, don't just goto) — catches routing issues
  • Check for CLS (Cumulative Layout Shift) on pages with dynamic content
Rails
  • Check for N+1 query warnings in console (if development mode)
  • Verify CSRF token presence in forms
  • Test Turbo/Stimulus integration — do page transitions work smoothly?
  • Check for flash messages appearing and dismissing correctly
WordPress
  • Check for plugin conflicts (JS errors from different plugins)
  • Verify admin bar visibility for logged-in users
  • Test REST API endpoints (/wp-json/)
  • Check for mixed content warnings (common with WP)
General SPA (React, Vue, Angular)
  • Use snapshot -i for navigation — links command misses client-side routes
  • Check for stale state (navigate away and back — does data refresh?)
  • Test browser back/forward — does the app handle history correctly?
  • Check for memory leaks (monitor console after extended use)

Important Rules

  1. Repro is everything. Every issue needs at least one screenshot. No exceptions.
  2. Verify before documenting. Retry the issue once to confirm it's reproducible, not a fluke.
  3. Never include credentials. Write [REDACTED] for passwords in repro steps.
  4. Write incrementally. Append each issue to the report as you find it. Don't batch.
  5. Never read source code. Test as a user, not a developer.
  6. Check console after every interaction. JS errors that don't surface visually are still bugs.
  7. Test like a user. Use realistic data. Walk through complete workflows end-to-end.
  8. Depth over breadth. 5-10 well-documented issues with evidence > 20 vague descriptions.
  9. Never delete output files. Screenshots and reports accumulate — that's intentional.
  10. Use snapshot -C for tricky UIs. Finds clickable divs that the accessibility tree misses.

Record baseline health score at end of Phase 6.


Output Structure

.gstack/qa-reports/
├── qa-report-{domain}-{YYYY-MM-DD}.md    # Structured report
├── screenshots/
│   ├── initial.png                        # Landing page annotated screenshot
│   ├── issue-001-step-1.png               # Per-issue evidence
│   ├── issue-001-result.png
│   ├── issue-001-before.png               # Before fix (if fixed)
│   ├── issue-001-after.png                # After fix (if fixed)
│   └── ...
└── baseline.json                          # For regression mode

Report filenames use the domain and date: qa-report-myapp-com-2026-03-12.md


Phase 7: Triage

Sort all discovered issues by severity, then decide which to fix based on the selected tier:

  • Quick: Fix critical + high only. Mark medium/low as "deferred."
  • Standard: Fix critical + high + medium. Mark low as "deferred."
  • Exhaustive: Fix all, including cosmetic/low severity.

Mark issues that cannot be fixed from source code (e.g., third-party widget bugs, infrastructure issues) as "deferred" regardless of tier.


Phase 8: Fix Loop

For each fixable issue, in severity order:

8a. Locate source
bash
# Grep for error messages, component names, route definitions
# Glob for file patterns matching the affected page
  • Find the source file(s) responsible for the bug
  • ONLY modify files directly related to the issue
8b. Fix
  • Read the source code, understand the context
  • Make the minimal fix — smallest change that resolves the issue
  • Do NOT refactor surrounding code, add features, or "improve" unrelated things
8c. Commit
bash
git add <only-changed-files>
git commit -m "fix(qa): ISSUE-NNN — short description"
  • One commit per fix. Never bundle multiple fixes.
  • Message format: fix(qa): ISSUE-NNN — short description
8d. Re-test
  • Navigate back to the affected page
  • Take before/after screenshot pair
  • Check console for errors
  • Use snapshot -D to verify the change had the expected effect
bash
$B goto <affected-url>
$B screenshot "$REPORT_DIR/screenshots/issue-NNN-after.png"
$B console --errors
$B snapshot -D
8e. Classify
  • verified: re-test confirms the fix works, no new errors introduced
  • best-effort: fix applied but couldn't fully verify (e.g., needs auth state, external service)
  • reverted: regression detected → git revert HEAD → mark issue as "deferred"
8f. Self-Regulation (STOP AND EVALUATE)

Every 5 fixes (or after any revert), compute the WTF-likelihood:

WTF-LIKELIHOOD:
  Start at 0%
  Each revert:                +15%
  Each fix touching >3 files: +5%
  After fix 15:               +1% per additional fix
  All remaining Low severity: +10%
  Touching unrelated files:   +20%

If WTF > 20%: STOP immediately. Show the user what you've done so far. Ask whether to continue.

Hard cap: 50 fixes. After 50 fixes, stop regardless of remaining issues.


Phase 9: Final QA

After all fixes are applied:

  1. Re-run QA on all affected pages
  2. Compute final health score
  3. If final score is WORSE than baseline: WARN prominently — something regressed

Phase 10: Report

Write the report to both local and project-scoped locations:

Local: .gstack/qa-reports/qa-report-{domain}-{YYYY-MM-DD}.md

Project-scoped: Write test outcome artifact for cross-session context:

bash
SLUG=$(git remote get-url origin 2>/dev/null | sed 's|.*[:/]\([^/]*/[^/]*\)\.git$|\1|;s|.*[:/]\([^/]*/[^/]*\)$|\1|' | tr '/' '-')
mkdir -p ~/.gstack/projects/$SLUG

Write to ~/.gstack/projects/{slug}/{user}-{branch}-test-outcome-{datetime}.md

Per-issue additions (beyond standard report template):

  • Fix Status: verified / best-effort / reverted / deferred
  • Commit SHA (if fixed)
  • Files Changed (if fixed)
  • Before/After screenshots (if fixed)

Summary section:

  • Total issues found
  • Fixes applied (verified: X, best-effort: Y, reverted: Z)
  • Deferred issues
  • Health score delta: baseline → final

PR Summary: Include a one-line summary suitable for PR descriptions:

"QA found N issues, fixed M, health score X → Y."


Phase 11: TODOS.md Update

If the repo has a TODOS.md:

  1. New deferred bugs → add as TODOs with severity, category, and repro steps
  2. Fixed bugs that were in TODOS.md → annotate with "Fixed by /qa on {branch}, {date}"

Additional Rules (qa-specific)

  1. Clean working tree required. Refuse to start if git status --porcelain is non-empty.
  2. One commit per fix. Never bundle multiple fixes into one commit.
  3. Never modify tests or CI configuration. Only fix application source code.
  4. Revert on regression. If a fix makes things worse, git revert HEAD immediately.
  5. Self-regulate. Follow the WTF-likelihood heuristic. When in doubt, stop and ask.

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/gstack/qa of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • references/issue-taxonomy.md
  • templates/qa-report-template.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

QA next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

QA compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
QA this skillLeoYeAI/openclaw-master-skills2.2k—~5.8kAutomated safety check: NotesMIT
QAmr-daedalium/ostack-saas1141 repos~10kAutomated safety check: NotesMIT
Issue Fixmono/SkiaSharp5.6k—~5.1kAutomated safety check: PassMIT
OpenROAD Issue TriageThe-OpenROAD-Project/OpenROAD3.2k—~842Automated safety check: PassBSD-3-Clause
Bug ReproducerAnastasiyaW/codex-claude-code-config154—~4.1kAutomated safety check: PassMIT
Fix The Classjoetawil7/first-pass92—~1.5kAutomated safety check: PassMIT

Similar skills

  • QA

    mr-daedalium/ostack-saas

    Systematically QA test a web application and fix bugs found.

    114 GitHub starsUsed in 1 repo~10k tokens
    DevelopmentAuto-check: notes
  • Issue Fix

    mono/SkiaSharp

    Fix bugs in SkiaSharp C bindings. An agent skill from mono/SkiaSharp.

    5.6k GitHub stars~5.1k tokensUpdated today
    DevelopmentAuto-check passed
  • OpenROAD Issue Triage

    The-OpenROAD-Project/OpenROAD

    Reproduces an OpenROAD GitHub bug from an attached tarball and shrinks the failing design with whittle.py so maintainers get a minimal test case.

    3.2k GitHub stars~842 tokensUpdated today
    DevelopmentAuto-check passed
  • Bug Reproducer

    AnastasiyaW/codex-claude-code-config

    Find likely software bugs in a codebase, rank concrete bug candidates, and prove or reject them with focused regression tests before proposing a fix.

    154 GitHub stars~4.1k tokensUpdated today
    Testing & QAAuto-check passed
  • Fix The Class

    joetawil7/first-pass

    Bug-fix routine that fixes the whole class of bug, not just the reported instance.

    92 GitHub stars~1.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Write The Docs

    supabase/supabase

    Official

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  • GEO-Claw AI Visibility Agent

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Questions about QA

What does QA do?

Systematically QA test a web application and fix bugs found. QA is an agent skill from LeoYeAI/openclaw-master-skills. Systematically QA test a web application and fix bugs found.

When should I use QA?

QA fits situations like: fix whats broken; tasks that involve Debugging; tasks that involve QA and bug reports.

How do I install QA in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill qa -a claude-code`. Or copy the skill folder (skills/gstack/qa in LeoYeAI/openclaw-master-skills) into .claude/skills/qa in your project. Claude Code loads it when a task matches its description.

How do I install QA in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill qa -a codex`. Or copy the skill folder (skills/gstack/qa in LeoYeAI/openclaw-master-skills) into .agents/skills/qa in your project. Codex loads it when a task matches its description.

Can I use QA in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qa, .gemini/skills/qa, .github/skills/qa and .opencode/skills/qa in your project.

What does QA need to run?

Going by SKILL.md and its folder, QA needs the command-line tools its instructions call (git, gh, curl and bash). Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion.

Does QA access the network?

SKILL.md names 1 domain. In commands or code: bun.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is QA safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does QA use?

QA is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does QA use?

About 5.8k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 905 tokens, read only when the agent opens those files.

What are the alternatives to QA?

Skills that share tags, products or a category with QA: QA (mr-daedalium/ostack-saas, 114 stars), Issue Fix (mono/SkiaSharp, 5.6k stars), OpenROAD Issue Triage (The-OpenROAD-Project/OpenROAD, 3.2k stars) and Bug Reproducer (AnastasiyaW/codex-claude-code-config, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QA?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.