Python Testing Patterns
Guides an agent through pytest tests, TDD, fixtures, mocking and coverage targets in Python projects.
- Repository
- affaan-m/ECC
- Stars
- 295,127
- Licence
- MIT
- Files
- 1 file
What it does
When installed, this skill gives the agent a structured playbook for testing Python code with pytest. It pushes a red-green-refactor workflow (write a failing test first, then the minimum code to pass it, then tidy up), and shows patterns for assertions, fixtures, parametrized tests, custom markers, and coverage reporting with a target of 80% or more. The file is written in Spanish and the visible part also covers mocking, though the excerpt cuts off before that section ends.
Great for
- Python developers who want an agent to write or review pytest suites
- Students learning test-driven development in Python
- Teams setting up pytest configuration, markers and coverage thresholds
Skip it if
- Projects in other languages such as JavaScript or Go, since the patterns are Python-specific
- Users expecting the agent to run tests against production systems: the examples include live HTTP calls to api.example.com that would hit real services if run carelessly
Try asking
- “Write pytest tests for this function first, then implement it using TDD”
- “Set up pytest.ini with slow, integration and unit markers and show me how to run only fast tests”
- “Add fixtures and parametrized tests to cover my email validation logic”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
python-testing.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip python-testing.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip python-testing.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
- Ask for the agent to explain which tests it would run before running them, especially for integration tests that call external APIs
- Point the skill at a specific module or package so the coverage command uses the correct --cov path
What's inside
- SKILL.md
Redistributed unmodified from affaan-m/ECC 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.