python-testing-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard documentation and code examples for Python testing best practices. All code snippets utilize official and well-known libraries such as pytest, unittest.mock, and SQLAlchemy.
- [SAFE]: External references point to official documentation for Python and pytest, as well as reputable community projects like Hypothesis and Codecov.
- [SAFE]: Test patterns involving sensitive operations, such as environment variable manipulation or database interactions, correctly demonstrate safe testing practices using mocking (monkeypatch) and in-memory databases (SQLite :memory:).
Audit Metadata