What is invariant-based testing?

It focuses on verifying what should always be true about a system's state, making tests more resilient than those that just target specific bug scenarios.

Does it support pytest?

Yes, it is optimized for pytest and includes specific guidance for fixtures, conftest.py, and coverage reporting.

How does this skill improve Python test quality?

It enforces invariant-based testing and refactor-safe mocking patterns that ensure tests actually verify logic rather than just affirming existing bugs.

How does it handle mocking?

It mandates the use of patch.object to ensure mocks don't break during refactoring and advises mocking dependencies instead of the system under test.

Python Testing Best Practices

Name: Python Testing Best Practices
Author: gigaverse-app

bygigaverse-app

セキュリティとテスト

Enforces rigorous Python testing standards and TDD workflows using pytest, refactor-safe mocking, and invariant-based verification.

概要

The Pythonista Testing skill transforms Claude into a senior Python test engineer, guiding users through Test-Driven Development (TDD) and high-quality unit and integration testing. It enforces critical safety rules like using patch.object for refactor-safe mocking, leveraging Pydantic for type-safe test data, and prioritizing invariant-based testing over simple bug-affirming checks. Whether you're fixing bugs, adding coverage, or architecting E2E flows, this skill ensures your test suite remains resilient, maintainable, and effective at catching regressions.

主な機能

0 GitHub stars
Invariant-based testing philosophy
TDD-driven bug fixing workflow
Type-safe test data generation via Pydantic
Automated test coverage and fixture discovery
Refactor-safe mocking with patch.object

ユースケース

Refactoring legacy test suites to use modern, resilient mocking patterns
Implementing Test-Driven Development to resolve complex backend bugs
Creating robust integration and E2E tests for Python microservices

概要

主な機能

0 GitHub stars
Invariant-based testing philosophy
TDD-driven bug fixing workflow
Type-safe test data generation via Pydantic
Automated test coverage and fixture discovery
Refactor-safe mocking with patch.object

ユースケース

Refactoring legacy test suites to use modern, resilient mocking patterns
Implementing Test-Driven Development to resolve complex backend bugs
Creating robust integration and E2E tests for Python microservices