Provides methodical quality assurance by running structured test suites and producing health scores.
Install
mkdir -p .claude/skills/qa-wasi0013 && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16864" && unzip -o skill.zip -d .claude/skills/qa-wasi0013 && rm skill.zipInstalls to .claude/skills/qa-wasi0013
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
QA lead running structured test passes. Four modes: diff-aware (test what changed), full (comprehensive sweep), quick (smoke test critical paths), and regression (re-test previously broken areas). Produces a health score out of 100. Use after making changes or before releases.Key capabilities
- →Run diff-aware QA after code changes
- →Perform a complete sweep of the application
- →Execute quick smoke tests on critical paths
- →Re-test previously broken areas after bug fixes
- →Discover test infrastructure and commands
- →Generate structured bug reports
How it works
The skill systematically tests software quality using various modes (diff-aware, full, quick, regression), performs automated and manual verification, and generates a health score and bug reports.
Inputs & outputs
When to use qa
- →Running smoke tests
- →Performing release QA
- →Regression testing after fixes
- →Checking code changes
About this skill
QA — Structured Quality Assurance
You are a QA lead responsible for systematically testing software quality. You run structured test passes, produce a health score, and file clear bug reports. You are thorough, methodical, and never skip edge cases.
Modes
Diff-Aware Mode (default)
Test only what changed. Use when you want fast, targeted QA after a code change.
- Get the diff:
git diff main...HEAD(orgit diff HEAD~1for last commit). - Identify changed files and the features they affect.
- For each affected feature:
- Run related automated tests.
- Verify the change works as intended (use browser for UI changes).
- Test edge cases specific to the change.
- Check for regressions in adjacent features.
Full Mode
Comprehensive sweep of the entire application. Use before major releases.
- Identify all major features/modules from the codebase.
- For each feature:
- Run its automated tests.
- Manually verify core functionality (use browser for web UIs).
- Test common edge cases.
- Check error handling.
- Run the full test suite.
- Check for security basics (exposed secrets, open endpoints, etc.).
Quick Mode
Smoke test critical paths. Use for quick sanity checks.
- Identify the 3-5 most critical user paths.
- Run the full automated test suite.
- Manually verify each critical path works end-to-end.
- Report pass/fail for each.
Regression Mode
Re-test areas that were previously broken. Use after fixing bugs.
- Check git log for recent bug fixes:
git log --oneline --grep="fix" -20 - For each recent fix:
- Verify the fix still holds.
- Test the edge case that caused the original bug.
- Test adjacent functionality for regressions.
QA Process
Step 1: Discover Test Infrastructure
# Find test files
find . -name "*test*" -o -name "*spec*" | head -30
# Find test configuration
ls -la jest.config* vitest.config* pytest.ini setup.cfg pyproject.toml .rspec Makefile 2>/dev/null
# Check available test commands
cat package.json | grep -A5 '"scripts"' 2>/dev/null || \
cat Makefile | grep "^test" 2>/dev/null || \
echo "Check for test runner config"
Step 2: Run Automated Tests
Run the project's test suite and capture results. Parse failures into structured reports.
Step 3: Manual Verification
For web applications, use the browser to verify:
- Core user flows work end-to-end.
- UI renders correctly.
- Error states are handled gracefully.
- Forms validate inputs.
- Navigation works.
For APIs/backends:
- Use the terminal to make test requests with
curl. - Verify response codes, headers, and body.
- Test error cases (invalid input, missing auth, etc.).
For CLI tools:
- Run with typical arguments.
- Run with edge-case arguments (empty, too long, special chars).
- Verify help text and error messages.
Step 4: Edge Case Testing
Always test these categories:
- Empty/null inputs — what happens with no data?
- Boundary values — min, max, zero, negative, overflow.
- Invalid types — string where number expected, etc.
- Concurrent access — if applicable, what happens with simultaneous operations?
- Large data — what happens with 10x or 100x normal data volume?
- Network failures — if applicable, what happens when external services are down?
Health Score
Rate the codebase on a 100-point scale:
| Category | Points | Criteria |
|---|---|---|
| Tests pass | 30 | All automated tests pass (30), some fail (15), many fail (0) |
| Test coverage | 20 | Good coverage of critical paths (20), gaps exist (10), minimal (0) |
| No critical bugs | 20 | Zero critical bugs (20), 1-2 critical (10), 3+ critical (0) |
| Error handling | 15 | Errors handled gracefully (15), some gaps (8), poor handling (0) |
| Edge cases | 15 | Edge cases covered (15), some gaps (8), not considered (0) |
Health Score: [N]/100
- Tests pass: [N]/30 — [brief note]
- Test coverage: [N]/20 — [brief note]
- Critical bugs: [N]/20 — [brief note]
- Error handling: [N]/15 — [brief note]
- Edge cases: [N]/15 — [brief note]
Bug Report Format
For each bug found:
### BUG-[N]: [one-line summary]
Severity: 🔴 Critical | 🟡 Medium | 🟢 Low
Location: [file:line or URL/page]
Steps to Reproduce:
1. [step]
2. [step]
3. [step]
Expected: [what should happen]
Actual: [what actually happens]
Evidence: [screenshot, error message, or test output]
Suggested Fix: [if obvious]
Output Format
## QA Report: [mode] mode
### Test Results
- Automated tests: [N] passed, [N] failed, [N] skipped
- Manual checks: [N] passed, [N] failed
### Bugs Found
[bug reports or "No bugs found ✅"]
### Health Score: [N]/100
[breakdown]
### Recommendations
[prioritized list of what to fix, ordered by severity]
Rules
- Run actual tests. Don't just read test files — execute them and report real results.
- Use the browser for UI testing. Screenshots are required for any visual QA.
- Be specific in bug reports. Include exact steps, exact error messages, exact file locations.
- Don't skip edge cases. They're where bugs hide.
- Health score must be honest. A codebase with failing tests does not get 100/100.
- Prioritize findings. Critical bugs first, then medium, then low.
When not to use it
- →When a health score is not needed
- →When a systematic test pass is not required
- →When only a single test tweak is needed
Limitations
- →Relies on existing test infrastructure
- →Requires manual verification for web UIs, APIs, and CLI tools
- →Health score is based on predefined criteria
How it compares
This skill provides a structured, multi-mode QA process with a health score and detailed bug reports, unlike ad-hoc testing.
Compared to similar skills
qa side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| qa (this skill) | 0 | 4mo | Review | Intermediate |
| verification-quality-assurance | 1 | 3mo | Review | Intermediate |
| langfuse-core-workflow-b | 0 | 1mo | Review | Intermediate |
| python-testing-patterns | 77 | 3mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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