python-testing-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is entirely educational and instructional in nature, providing templates and best practices for writing Python unit, integration, and functional tests.
- [SAFE]: All referenced software and libraries, such as
pytest,pytest-cov,freezegun,hypothesis,sqlalchemy, andrequests, are well-known, legitimate tools within the Python ecosystem. - [SAFE]: The CI/CD integration examples utilize official GitHub Actions and established services like Codecov, following secure development practices.
- [SAFE]: Mocking examples correctly use placeholders (e.g., 'production-key', 'test-key') for sensitive values rather than hardcoding actual credentials.
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