Agent skill
pytest-runner
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.
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Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/pytest-runner
SKILL.md
Pytest Runner Skill
Purpose
Single responsibility: Execute and manage pytest test suites with proper configuration, coverage reporting, and failure analysis. (BP-4)
Grounding Checkpoint (Archetype 1 Mitigation)
Before executing, VERIFY:
- Python virtual environment is active or available
- pytest is installed (
pip show pytest) - Test directory exists with test files
- pytest.ini or pyproject.toml configured (optional)
DO NOT run tests without verifying environment.
Uncertainty Escalation (Archetype 2 Mitigation)
ASK USER instead of guessing when:
- Multiple test directories detected - which to run?
- Coverage threshold unclear
- Parallel execution appropriate?
- Specific markers or keywords needed?
NEVER modify test configurations without user approval.
Context Scope (Archetype 3 Mitigation)
| Context Type | Included | Excluded |
|---|---|---|
| RELEVANT | Test files, pytest config, fixtures | Application code details |
| PERIPHERAL | Coverage reports, test markers | CI/CD pipelines |
| DISTRACTOR | Other language tests | Deployment configs |
Workflow Steps
Step 1: Environment Check (Grounding)
bash
# Verify virtual environment
if [ -z "$VIRTUAL_ENV" ]; then
# Activate if exists
if [ -f "venv/bin/activate" ]; then
source venv/bin/activate
elif [ -f ".venv/bin/activate" ]; then
source .venv/bin/activate
else
echo "WARNING: No virtual environment active"
fi
fi
# Verify pytest installed
python -m pytest --version || pip install pytest
Step 2: Discover Tests
bash
# List all test files
find . -name "test_*.py" -o -name "*_test.py" | head -20
# Show pytest collection
python -m pytest --collect-only -q
Step 3: Execute Tests
Basic execution:
bash
python -m pytest tests/ -v
With coverage:
bash
python -m pytest tests/ -v --cov=src --cov-report=term-missing --cov-report=html
Parallel execution:
bash
python -m pytest tests/ -v -n auto # requires pytest-xdist
With markers:
bash
python -m pytest tests/ -v -m "unit"
python -m pytest tests/ -v -m "not slow"
Step 4: Analyze Results
bash
# Parse test results
python -m pytest tests/ -v --tb=short 2>&1 | tee test_results.txt
# Extract failures
grep -E "^FAILED|^ERROR" test_results.txt
# Coverage summary
python -m pytest --cov=src --cov-report=term | grep -E "^TOTAL|^Name"
Recovery Protocol (Archetype 4 Mitigation)
On error:
- PAUSE - Capture test output
- DIAGNOSE - Check error type:
ImportError→ Check dependencies, PYTHONPATHFixtureError→ Check conftest.pyCollectionError→ Check test file syntaxTimeout→ Reduce test scope or add markers
- ADAPT - Adjust test selection or configuration
- RETRY - With narrower scope (max 3 attempts)
- ESCALATE - Report failures with context
Checkpoint Support
State saved to: .aiwg/working/checkpoints/pytest-runner/
checkpoints/pytest-runner/
├── test_collection.json # Discovered tests
├── test_results.json # Last run results
├── coverage_report.json # Coverage data
└── failure_analysis.md # Failure diagnostics
Common Pytest Options
| Option | Purpose |
|---|---|
-v |
Verbose output |
-x |
Stop on first failure |
-s |
Show print statements |
--lf |
Run last failed tests |
--ff |
Run failed tests first |
-k "pattern" |
Filter by name pattern |
-m "marker" |
Filter by marker |
--tb=short |
Shorter tracebacks |
Configuration Templates
pytest.ini:
ini
[pytest]
testpaths = tests
python_files = test_*.py *_test.py
python_functions = test_*
addopts = -v --tb=short
markers =
unit: Unit tests
integration: Integration tests
slow: Slow tests
pyproject.toml:
toml
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
addopts = "-v --tb=short"
References
- pytest documentation: https://docs.pytest.org/
- REF-001: Production-Grade Agentic Workflows (BP-4 single responsibility)
- REF-002: LLM Failure Modes (Archetype 1 grounding)
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