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python-unit-testing

Testing & Quality
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A skill for creating comprehensive Python unit tests using pytest. It provides guidance and templates for test structure, fixtures, mocking, parameterization, and coverage. Use this when you need to write unit tests for Python code, set up a testing environment with pytest, or apply testing best practices.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/python-unit-testing/SKILL.md

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Python Unit Testing with Pytest

This skill provides a structured workflow and resources for writing effective unit tests in Python using the pytest framework.

Core Workflow

  1. Setup (pytest.ini, conftest.py): If the project doesn't have a testing setup, copy the templates from the assets/ directory.
    • assets/pytest.ini: Standard pytest and coverage configuration.
    • assets/conftest.py: Reusable fixtures, including mocks for a database and an API client.
  2. Create Test File: For a given source file path/to/module.py, create a corresponding test file tests/path/to/test_module.py.
    • For guidance, read references/01_organization.md.
    • Follow the naming conventions in references/02_naming_conventions.md.
  3. Write Tests: Write test functions using the Arrange-Act-Assert pattern.
    • Start with a template from assets/templates/.
      • simple_test.py: For basic tests.
      • parameterized_test.py: For testing with multiple inputs.
      • mocking_test.py: For testing code with external dependencies.
  4. Run and Iterate: Run pytest and use the output to refine tests. If coverage is configured, use the report to find untested code.

Reference Guides

When you need to implement a specific pattern, consult the relevant reference guide. Read them as needed.

  • references/01_organization.md: How to structure your tests directory.
  • references/02_naming_conventions.md: How to name test files and functions.
  • references/03_fixtures.md: How to use pytest fixtures for setup and teardown.
  • references/04_mocking.md: How to mock external dependencies like APIs and databases.
  • references/05_parameterization.md: How to run one test with multiple different inputs.
  • references/06_assertions.md: Best practices for assert statements and checking for exceptions.
  • references/07_coverage.md: How to measure and interpret test coverage.

Always start by using the templates in assets/ as a base for new test files.