Codify Python testing best practices for unit and integration tests.
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Please help me install this Agent Skill. Skill: testing Source: https://github.com/gigaverse-app/skillet/tree/main/python-standards/skills/testing Command: npx skills add https://github.com/gigaverse-app/skillet --skill testing-gigaverse-app
Improve testing quality for Python projects.
Identify existing fixtures in tests/conftest.py, review sibling test files for patterns, and run pytest with coverage (pytest --cov=src --cov-report=term-missing).
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You can enforce TDD workflows and invariant checks by applying codified best practices, reference guidelines, and templates to guide consistent test quality and catch regressions early in Python projects.
Mocking and fixture best practices involve using established patterns from reference materials, checking data models, and utilizing tests/conftest.py to boost consistency and efficiency across unit and integration tests.
Structure unit and integration tests by identifying existing fixtures in tests/conftest.py, reviewing sibling test files for patterns, and running pytest with coverage to ensure consistent test quality.
No specific dependencies are required, as the approach uses a reference set of guidelines, templates, and checks for mocking, data fixtures, concurrency, and test-data standards to guide teams toward consistency.
Use invariant-based testing alongside standard unit tests when you need to enforce strict TDD workflows and catch regressions early by verifying that core conditions remain true across various operations.
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