Does it help with code coverage configuration?

Yes, it provides ready-to-use configurations for pyproject.toml to set up pytest-cov, manage coverage reports, and enforce coverage thresholds.

Can I use this for mocking external APIs?

Absolutely. It includes best practices for using pytest-mock to patch functions, handle side effects, and verify calls to external dependencies.

Does this skill support asynchronous testing?

Yes, it provides specialized patterns for pytest-asyncio and testing asynchronous logic in FastAPI applications using AsyncClient and httpx.

What testing frameworks does this skill cover?

The skill focuses primarily on pytest, the industry-standard for Python, but also covers extensions like Hypothesis for property-based testing and Syrupy for snapshot testing.

Python Testing Master

Name: Python Testing Master
Author: JosiahSiegel

byJosiahSiegel

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安全与测试

Streamlines the creation of comprehensive Python testing suites using pytest, advanced mocking, and async patterns.

关于

The Python Testing Master skill equips Claude with specialized knowledge to build, debug, and optimize Python test environments. It provides immediate access to production-grade patterns for the pytest ecosystem, including complex fixture management, mocking external dependencies, and validating asynchronous logic. Whether you are testing FastAPI endpoints, implementing property-based testing with Hypothesis, or configuring code coverage thresholds, this skill ensures your codebase remains robust and maintainable following 2025 best practices.

主要功能

Full support for async testing and FastAPI integration
Comprehensive mocking and patching strategies using pytest-mock
Property-based testing and snapshot testing implementation
Advanced pytest fixture patterns and lifecycle management
Automated code coverage configuration and reporting
7 GitHub stars

使用场景

Developing high-coverage unit and integration test suites for Python applications
Implementing robust API testing for FastAPI services using httpx
Configuring automated testing and coverage gates for CI/CD pipelines

关于

主要功能

Full support for async testing and FastAPI integration
Comprehensive mocking and patching strategies using pytest-mock
Property-based testing and snapshot testing implementation
Advanced pytest fixture patterns and lifecycle management
Automated code coverage configuration and reporting
7 GitHub stars

使用场景

Developing high-coverage unit and integration test suites for Python applications
Implementing robust API testing for FastAPI services using httpx
Configuring automated testing and coverage gates for CI/CD pipelines