Python Testing Patterns
Write pytest tests with fixtures, mocks, and TDD practices for Python code
- Repository
- wshobson/agents
- Stars
- 42,095
- Licence
- MIT
- Files
- 3 files
What it does
When installed, the agent follows a structured guide for writing Python tests with pytest. It knows how to organize test folders, name tests clearly, use the Arrange-Act-Assert pattern, mock retries and time-dependent behavior, mark slow or integration tests, and measure coverage. It is a reference of conventions and examples rather than a tool that runs anything by itself.
Great for
- Python developers who want consistent, readable pytest suites
- Teams setting up a test structure or CI test runs for the first time
- Developers learning test-driven development or mocking with unittest.mock and freezegun
Skip it if
- Non-Python projects, since the examples are specific to pytest and Python (use a skill for your language instead)
- Anyone expecting the agent to run tests automatically without a Python environment, because the skill only supplies guidance and examples
Try asking
- “Write pytest unit tests for this Python module using the Arrange-Act-Assert pattern”
- “Set up a tests/ folder with unit and integration subfolders and a conftest.py”
- “Add tests that mock a flaky API client and verify retry behavior”
- “Mark slow tests and configure pytest to skip them in quick runs”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 3 original files, the MIT licence and an attribution note.
python-testing-patterns.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip python-testing-patterns.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip python-testing-patterns.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Name the module or code you want tested so the agent can match the examples to your real functions
- Tell the agent your existing test framework and folder layout so it adapts rather than reorganizing your project
- Review any generated test commands before running them, especially pip installs, since the agent may run them in your environment
What's inside
- references/advanced-patterns.md
- references/details.md
- SKILL.md
Redistributed unmodified from wshobson/agents under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.