About python-testing
python-testing is a skill for Python developers that lays out pytest practices for test construction, fixtures, asynchronous tests, and coverage. Its modular guidance spans implementation and test infrastructure.
Key features
- 01pytest unit and integration tests
- 02Fixture and mock management
- 03Asynchronous test patterns
- 04Coverage and project configuration
Use cases
- 01Creating tests for Python projects
- 02Isolating external dependencies
- 03Testing coroutine behavior
- 04Setting project coverage standards
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ athola/ claude-night-market --skill python-testingAfter installing, type/python-testingin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
modules/async-testing.mdfixtures-and-mocking.mdtest-infrastructure.mdtest-quality.mdtesting-workflows.mdunit-testing.mdDetails
From the project READMEPython Testing Hub
Testing standards for pytest configuration, fixture management, and TDD implementation.
Quick Start
- Dependencies:
pip install pytest pytest-cov pytest-asyncio pytest-mock - Configuration: Add the following to
pyproject.toml:[tool.pytest.ini_options] testpaths = ["tests"] addopts = "--cov=src" - Verification: Run
pytestto confirm discovery of files matchingtest_*.py.
When To Use
- Constructing unit and integration tests for Python 3.9+ projects.
- Isolating external dependencies using
pytest-mockor custom monkeypatching. - Validating asynchronous logic with
pytest-asynciomarkers and event loop management. - Configuring project-wide coverage thresholds and reporting.
When NOT To Use
- Evaluating test quality - use pensive:test-review instead
- Infrastructure test config - use leyline:pytest-config
Modules
This skill uses modular loading to manage the system prompt budget.
Core Implementation
- See
modules/unit-testing.md- AAA (Arrange-Act-Assert) pattern, basic test structure, and exception validation. - See
modules/fixtures-and-mocking.md- Request-scoped fixtures, parameterization, and boundary mocking. - See
modules/async-testing.md- Coroutine testing, async fixtures, and concurrency validation.
Infrastructure & Workflow
- See
modules/test-infrastructure.md- Directory standards,conftest.pymanagement, and coverage tools. - See
modules/testing-workflows.md- Local execution patterns and GitHub Actions integration.
Standards
- See
modules/test-quality.md- Identification of common anti-patterns like broad exception catching or shared state between tests.
Exit Criteria
- Tests implement the AAA pattern.
- Coverage reaches the 80% project minimum.
- Individual tests are independent and do not rely on execution order.
- Fixtures are scoped appropriately (function, class, or session) to prevent side effects.
- Mocking is restricted to external system boundaries.
Troubleshooting
- Test Discovery: Verify filenames match the
test_*.pypattern. Usepytest --collect-onlyto debug discovery paths. - Import Errors: Ensure the local source directory is in the path, typically by installing in editable mode with
pip install -e .. - Async Failures: Confirm that
pytest-asynciois installed and that async tests use the@pytest.mark.asynciodecorator or corresponding auto-mode configuration.
Comments
Markdown supported