QA
mr-daedalium/ostack-saas
Systematically QA test a web application and fix bugs found.
Systematically QA test a web application and fix bugs found.
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .claude/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gstack/qa .agents/skills/qa && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .agents/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gstack/qa .cursor/skills/qa && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .cursor/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/gstack/qa--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gstack/qa .gemini/skills/qa && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .gemini/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills qaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gstack/qa .github/skills/qa && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .github/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill qa -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills qa --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gstack/qa .opencode/skills/qa && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qa" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/gstack/qa into .opencode/skills/qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qaSystematically 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. 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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGlobGrepAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitghcurlbashFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
bun.shFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
3. If `bun` is not installed: `curl -fsSL https://bun.sh/install | bash`allowed-tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestionAutomated 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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,510 words, ~5,828 tokens.
.claude/skills/qa/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->
_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.
ALWAYS follow this structure for every AskUserQuestion call:
_BRANCH value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences)RECOMMENDATION: Choose [X] because [one-line reason]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.
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}"
Determine which branch this PR targets. Use the result as "the base branch" in all subsequent steps.
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.
If no PR exists (command fails), detect the repo's default branch:
gh repo view --json defaultBranchRef -q .defaultBranchRef.name
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."
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.
Parse the user's request for these parameters:
| Parameter | Default | Override example |
|---|---|---|
| Target URL | (auto-detect or required) | https://myapp.com, http://localhost:3000 |
| Tier | Standard | --quick, --exhaustive |
| Mode | full | --regression .gstack/qa-reports/baseline.json |
| Output dir | .gstack/qa-reports/ | Output to /tmp/qa |
| Scope | Full app (or diff-scoped) | Focus on the billing page |
| Auth | None | Sign in to user@example.com, Import cookies from cookies.json |
Tiers determine which issues get fixed:
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:
if [ -n "$(git status --porcelain)" ]; then
echo "ERROR: Working tree is dirty. Commit or stash changes before running /qa."
exit 1
fiFind the browse binary:
_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: $B"
else
echo "NEEDS_SETUP"
fiIf NEEDS_SETUP:
cd <SKILL_DIR> && ./setupbun is not installed: curl -fsSL https://bun.sh/install | bashCreate output directories:
mkdir -p .gstack/qa-reports/screenshotsBefore falling back to git diff heuristics, check for richer test plan sources:
~/.gstack/projects/ for recent *-test-plan-*.md files for this repoSLUG=$(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/plan-eng-review or /plan-ceo-review produced test plan output in this conversationThis 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:
Analyze the branch diff to understand what changed:
git diff main...HEAD --name-only
git log main..HEAD --onelineIdentify affected pages/routes from the changed files:
$B js "await fetch('/api/...')"Detect the running app — check common local dev ports:
$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.
Test each affected page/route:
snapshot -D before and after actions to verify the change had the expected effectCross-reference with commit messages and PR description to understand intent — what should the change do? Verify it actually does that.
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.
Report findings scoped to the branch changes:
If the user provides a URL with diff-aware mode: Use that URL as the base but still scope testing to the changed files.
Systematic exploration. Visit every reachable page. Document 5-10 well-evidenced issues. Produce health score. Takes 5-15 minutes depending on app size.
--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 <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.
qa/templates/qa-report-template.md to output dirIf the user specified auth credentials:
$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 succeededIf the user provided a cookie file:
$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."
Get a map of the application:
$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.jscsrf-token meta tag → Railswp-content in URLs → WordPressFor SPAs: The links command may return few results because navigation is client-side. Use snapshot -i to find nav elements (buttons, menu items) instead.
Visit pages systematically. At each page:
$B goto <page-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/page-name.png"
$B console --errorsThen follow the per-page exploration checklist (see qa/references/issue-taxonomy.md):
$B viewport 375x812
$B screenshot "$REPORT_DIR/screenshots/page-mobile.png"
$B viewport 1280x720Depth judgment: Spend more time on core features (homepage, dashboard, checkout, search) and less on secondary pages (about, terms, privacy).
Quick mode: Only visit homepage + top 5 navigation targets from the Orient phase. Skip the per-page checklist — just check: loads? Console errors? Broken links visible?
Document each issue immediately when found — don't batch them.
Two evidence tiers:
Interactive bugs (broken flows, dead buttons, form failures):
snapshot -D to show what changed$B screenshot "$REPORT_DIR/screenshots/issue-001-step-1.png"
$B click @e5
$B screenshot "$REPORT_DIR/screenshots/issue-001-result.png"
$B snapshot -DStatic bugs (typos, layout issues, missing images):
$B snapshot -i -a -o "$REPORT_DIR/screenshots/issue-002.png"Write each issue to the report immediately using the template format from qa/templates/qa-report-template.md.
baseline.json with:{
"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:
Compute each category score (0-100), then take the weighted average.
Each category starts at 100. Deduct per finding:
| Category | Weight |
|---|---|
| Console | 15% |
| Links | 10% |
| Visual | 10% |
| Functional | 20% |
| UX | 15% |
| Performance | 10% |
| Content | 5% |
| Accessibility | 15% |
score = Σ (category_score × weight)
Hydration failed, Text content did not match)_next/data requests in network — 404s indicate broken data fetchinggoto) — catches routing issues/wp-json/)snapshot -i for navigation — links command misses client-side routes[REDACTED] for passwords in repro steps.snapshot -C for tricky UIs. Finds clickable divs that the accessibility tree misses.Record baseline health score at end of Phase 6.
.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 modeReport filenames use the domain and date: qa-report-myapp-com-2026-03-12.md
Sort all discovered issues by severity, then decide which to fix based on the selected tier:
Mark issues that cannot be fixed from source code (e.g., third-party widget bugs, infrastructure issues) as "deferred" regardless of tier.
For each fixable issue, in severity order:
# Grep for error messages, component names, route definitions
# Glob for file patterns matching the affected pagegit add <only-changed-files>
git commit -m "fix(qa): ISSUE-NNN — short description"fix(qa): ISSUE-NNN — short descriptionsnapshot -D to verify the change had the expected effect$B goto <affected-url>
$B screenshot "$REPORT_DIR/screenshots/issue-NNN-after.png"
$B console --errors
$B snapshot -Dgit revert HEAD → mark issue as "deferred"Every 5 fixes (or after any revert), compute the WTF-likelihood:
WTF-LIKELIHOOD:
Start at 0%
Each revert: +15%
Each fix touching >3 files: +5%
After fix 15: +1% per additional fix
All remaining Low severity: +10%
Touching unrelated files: +20%If WTF > 20%: STOP immediately. Show the user what you've done so far. Ask whether to continue.
Hard cap: 50 fixes. After 50 fixes, stop regardless of remaining issues.
After all fixes are applied:
Write the report to both local and project-scoped locations:
Local: .gstack/qa-reports/qa-report-{domain}-{YYYY-MM-DD}.md
Project-scoped: Write test outcome artifact for cross-session context:
SLUG=$(git remote get-url origin 2>/dev/null | sed 's|.*[:/]\([^/]*/[^/]*\)\.git$|\1|;s|.*[:/]\([^/]*/[^/]*\)$|\1|' | tr '/' '-')
mkdir -p ~/.gstack/projects/$SLUGWrite to ~/.gstack/projects/{slug}/{user}-{branch}-test-outcome-{datetime}.md
Per-issue additions (beyond standard report template):
Summary section:
PR Summary: Include a one-line summary suitable for PR descriptions:
"QA found N issues, fixed M, health score X → Y."
If the repo has a TODOS.md:
git status --porcelain is non-empty.git revert HEAD immediately.© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/gstack/qa of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| QA this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.8k | Automated safety check: Notes | MIT | |
| QAmr-daedalium/ostack-saas | 114 | 1 repos | ~10k | Automated safety check: Notes | MIT | |
| Issue Fixmono/SkiaSharp | 5.6k | — | ~5.1k | Automated safety check: Pass | MIT | |
| OpenROAD Issue TriageThe-OpenROAD-Project/OpenROAD | 3.2k | — | ~842 | Automated safety check: Pass | BSD-3-Clause | |
| Bug ReproducerAnastasiyaW/codex-claude-code-config | 154 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Fix The Classjoetawil7/first-pass | 92 | — | ~1.5k | Automated safety check: Pass | MIT |
mr-daedalium/ostack-saas
Systematically QA test a web application and fix bugs found.
mono/SkiaSharp
Fix bugs in SkiaSharp C bindings. An agent skill from mono/SkiaSharp.
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.
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.
joetawil7/first-pass
Bug-fix routine that fixes the whole class of bug, not just the reported instance.
supabase/supabase
Draft new or updated Supabase docs content for a feature or launch, grounded in product intent (Linear when available), a read of the actual code, and the docs style guide.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
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.
QA fits situations like: fix whats broken; tasks that involve Debugging; tasks that involve QA and bug reports.
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.
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.
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.
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.
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.
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.
QA is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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.
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.
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.