What testing framework does this skill focus on?

This skill primarily focuses on pytest, the industry standard for Python testing, while also utilizing the built-in unittest.mock library for isolation.

How does it handle external dependencies like databases?

It provides patterns for using fixtures to manage database connections and monkeypatch to isolate your code from environment variables and external systems.

Does it support Test-Driven Development (TDD)?

Absolutely. The skill is designed to guide users through the Red-Green-Refactor cycle using the structured Arrange-Act-Assert (AAA) pattern.

Can this skill help with testing asynchronous functions?

Yes, it includes specific implementation patterns for testing concurrent operations and async code using pytest-asyncio.

Python Testing Patterns

Name: Python Testing Patterns
Author: HermeticOrmus

byHermeticOrmus

セキュリティとテスト

Implements comprehensive testing strategies for Python using pytest, mocking, and test-driven development.

概要

This skill equips Claude with advanced patterns and best practices for creating robust Python test suites. It covers the full spectrum of modern testing requirements, from basic unit testing using the AAA (Arrange, Act, Assert) pattern to complex scenarios like mocking external APIs, managing database state with fixtures, and testing asynchronous operations. By following these standardized implementations, developers can ensure high code coverage, maintainable test infrastructure, and faster debugging cycles in any Python-based project.

主な機能

Advanced fixture management for efficient setup and teardown
Standardized pytest configuration and suite infrastructure setup
Comprehensive mocking and patching of external dependencies
Support for asynchronous testing and exception handling patterns
Data-driven testing via pytest parameterization
0 GitHub stars

ユースケース

Mocking complex external API responses to verify service resilience
Building a comprehensive unit and integration test suite for a new Python backend
Automating edge-case validation using parameterized testing inputs

概要

主な機能

Advanced fixture management for efficient setup and teardown
Standardized pytest configuration and suite infrastructure setup
Comprehensive mocking and patching of external dependencies
Support for asynchronous testing and exception handling patterns
Data-driven testing via pytest parameterization
0 GitHub stars

ユースケース

Mocking complex external API responses to verify service resilience
Building a comprehensive unit and integration test suite for a new Python backend
Automating edge-case validation using parameterized testing inputs