Write Python tests using pytest fixtures, mocking, parametrization, and markers.
npx skills add https://github.com/valec3/AGENTS.md --skill pytest-valec3
Please help me install this Agent Skill. Skill: pytest Source: https://github.com/valec3/AGENTS.md/tree/main/REFERENCES/GentlemanProgramming/skill/pytest Command: npx skills add https://github.com/valec3/AGENTS.md --skill pytest-valec3
Pytest provides a rich framework for Python testing; this Skill compiles best practices, patterns, and recipes to write reliable tests with fixtures, mocking, parameterization, and markers.
Run pytest in your project to execute tests; for example, pytest tests/ or pytest -k "test_user" to run a subset.
High-intent search queries and answers about installing and using this skill.
To write reliable Python tests with pytest, apply structured patterns for fixtures, mocking, parametrization, and markers to cover unit behavior, integration points, and edge cases. This ensures scalable and maintainable test suites.
The best way to parametrize Python tests is using the pytest parametrize marker, which allows you to run a single test function against multiple inputs. This pattern covers edge cases efficiently without duplicating test code.
Yes, pytest supports async testing scenarios in Python. The framework's patterns and conventions extend to asynchronous code, enabling you to write reliable tests for async functions using fixtures and markers within standard project setups.
To run a subset of pytest tests in your Python project, execute pytest with the -k flag followed by a keyword expression like "test_user". This filters and runs only matching tests, streamlining your testing workflow.
No, you do not need external runtime dependencies to use these pytest patterns. The Skill requires only Python and Pytest, supporting standard project setups with common testing utilities without introducing additional runtime dependencies.
To organize Python tests for readability and maintainability, apply structured testing patterns using fixtures, mocks, parametrization, and markers. These conventions help avoid common pitfalls and ensure your test suites remain scalable.
aaaa47080Runs pytest test suites with configurable flags and coverage reporting.
Skyvern-AIAnalyze git diffs to classify changes and run targeted browser or API tests.
arbisoftStandardize Python testing with PyTest fixtures, parametrization, mocks, and coverage enforcement.
Gentleman-ProgrammingStandardizes pytest-based patterns for Python unit and integration testing.
