Analyze Test Results Skill

Analyze Test Results Skill

Analyze test results from CI or local runs to identify failures, diagnose root causes, and fix bugs.

When to Use

• After tests fail (CI or local)
• After running /​download-ci-artifacts
• When asked to "fix test failures"
• When asked to "analyze test results"

Workflow

1. Locate Test Results

# From CI artifacts
cat ci-artifacts/​test-report/​test-report.md

# From local run
uv run pytest MouseMaster/​Testing/​Python/ -v --tb=long 2>&1 | tee test-output.log

2. Parse JUnit XML (if available)

# Extract failed tests from XML
grep -E "(failure|error)" ci-artifacts/​unit/​unit-tests.xml | head -20

3. For Each Failure

a. Identify the failing test

FAILED MouseMaster/​Testing/​Python/​test_event_handler.py::TestClass::test_name

b. Read the test file

Understand what the test expects:

• What behavior is being tested?
• What are the assertions?
• What mocks are set up?

c. Read the implementation

Find the code being tested and understand:

• Current behavior
• Why it might fail
• Edge cases

d. Diagnose root cause

Common issues:

• Mock not configured: Check mock setup in test
• API changed: Update test or implementation
• Race condition: Add proper synchronization
• Missing dependency: Check imports and fixtures

4. Fix the Issue

Apply the minimal fix needed:

# If test expectation is wrong
# → Update the test

# If implementation is wrong
# → Fix the implementation, re-run tests

# If mock setup is incomplete
# → Add proper mock configuration

5. Verify Fix

# Run specific failing test
uv run pytest MouseMaster/​Testing/​Python/​test_file.py::TestClass::test_name -v

# Run full suite
uv run pytest MouseMaster/​Testing/​Python/ -v

Analyzing Slicer Test Failures

Read Slicer output log

cat ci-artifacts/​slicer/​slicer-output.log

Common Slicer issues

Screenshot analysis

If screenshots captured, review with:

# View manifest
cat ci-artifacts/​screenshots/​manifest.json

# Then use /​review-ui-screenshots skill

Decision Rules

Fix immediately

• Clear implementation bugs
• Missing mock configuration
• Import errors
• Typos

Investigate more

• Intermittent failures
• Platform-specific issues
• Complex logic errors

Report only

• Test infrastructure issues
• CI configuration problems
• External dependency failures

Report Format

After analysis:

## Test Analysis Report

### Failures Found
| Test | Error | Root Cause |
|------|-------|------------|
| test_name | AssertionError | Incorrect mock setup |

### Fixes Applied
- `file.py:123` - Fixed mock configuration
- `test.py:45` - Updated assertion

### Remaining Issues
- Issue requiring further investigation

### Verification
- [ ] All tests pass locally
- [ ] Lint passes
- [ ] Type check passes

Integration

After fixing:

1. Run /​run-tests to verify
2. Commit with fix: description of fix
3. Push to trigger CI

Related Skills

• /​download-ci-artifacts - Get artifacts first
• /​review-ui-screenshots - Analyze UI issues
• /​fix-bad-practices - Fix code quality issues