Python Testing Patterns

Trust Score 86/100

Guides and best-practice patterns for Python testing using pytest, TDD, fixtures, mocking, parametrization and coverage goals.

triggers:pytesttddwrite testsfixturesparametrize

GitHub SKILL.md

What it does

Provides a compact but comprehensive reference for writing and organizing Python tests with pytest. Covers TDD workflow (red/green/refactor), fixtures (scoped setup/teardown), parametrization, mocking/patching, async tests, coverage measurement, and recommended test organization. Includes commands for running tests and generating coverage reports.

When to use it

Activate this skill when authoring new Python code, designing test suites, improving test coverage, reviewing test strategy, or setting up CI test workflows. Useful during onboarding, code reviews and when migrating legacy tests.

What's included

Scripts: Examples and commands for pytest, coverage, running specific tests, and debugging (pytest flags and examples).
References: Example fixtures, conftest patterns, parametrization idioms, and mocking strategies included in the SKILL.md body.
Instructions: Step-by-step TDD guidance, fixture scope examples, and practical code snippets for common testing scenarios.

Compatible agents

Compatible with agents or environments that can interpret Python test commands and run shell/CI tasks (Claude Code, CI automation tools, local developer workflows).

Audit Summary

A documentation-only skill providing comprehensive pytest testing patterns for Python. Covers TDD methodology, fixtures, parametrization, mocking, async testing, and best practices with clear code examples. No bundled scripts to execute. Well-written and practical for Python developers, though not unique in the ecosystem.

Watch Out

Pure documentation skill — no executable scripts to validate
No specific project scaffolding or automation provided

Notes

Clean skill, no security concerns. Single SKILL.md with no scripts/ or references/ directories. Good coverage of pytest fundamentals but lacks progressive disclosure or output contracts per skill spec.

Information

Repository: claude-code-python-stack
Stars: 37
Installs: 0

Trust Score

Overall86

Security100

Code Quality82

Architecture58

Usefulness72

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