Implements rigorous Python testing standards using pytest, TDD workflows, and refactor-safe mocking patterns.
This skill empowers Claude to write high-quality, maintainable Python tests by enforcing invariant-based testing and test-driven development (TDD) workflows. It provides specialized guidance on refactor-safe mocking using patch.object, data validation with Pydantic models, and end-to-end testing strategies that call production code directly. By prioritizing what should be true over simply proving bugs existed, it ensures your test suite remains robust even as your codebase evolves.
Key Features
01Implements refactor-safe mocking using unittest.mock.patch.object
020 GitHub stars
03Prioritizes invariant-based testing to verify system correctness
04Enforces strict TDD workflows for bug fixes and feature development
05Utilizes Pydantic models for type-safe and validated test data
06Standardizes E2E testing by calling actual production code paths
Use Cases
01Building high-coverage test suites for new Pydantic-based API services
02Refactoring legacy Python modules with robust, dependency-focused mocking
03Fixing complex bugs by establishing failing tests before applying code changes
