Does it support testing asynchronous code?

Yes, it includes specific patterns and best practices for testing async functions and concurrent operations using asyncio and relevant pytest plugins.

Which testing framework does this skill focus on?

This skill primarily focuses on pytest, the industry-standard testing framework for Python, leveraging its powerful fixture and parameterization systems.

How does it handle external service dependencies?

It utilizes advanced mocking and monkeypatching techniques to simulate external API responses and environment variables, ensuring tests remain isolated and fast.

Can I use this skill for integration testing?

Absolutely. It provides patterns for setting up test infrastructure, database connections, and API clients required for comprehensive integration tests.

Python Testing Patterns

Name: Python Testing Patterns
Author: HermeticOrmus

byHermeticOrmus

安全与测试

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

关于

This skill empowers Claude to architect and implement robust testing suites for Python applications of any scale. By leveraging industry-standard patterns like pytest fixtures, the AAA (Arrange-Act-Assert) structure, and sophisticated mocking techniques, it ensures code reliability and long-term maintainability. Whether you are setting up new integration tests for APIs, debugging failing unit tests, or implementing complex asynchronous test cases, this skill provides the necessary patterns and domain-specific guidance to achieve high-quality coverage and efficient CI/CD workflows.

主要功能

Mocking and patching of external dependencies and services
Parameterized testing for high-input data coverage
Comprehensive Test-Driven Development (TDD) implementation
Asynchronous and concurrent operation testing protocols
Advanced pytest patterns and fixture lifecycle management
0 GitHub stars

使用场景

Mocking third-party service calls to ensure isolated and reliable tests
Building robust unit and integration test suites for backend APIs
Validating complex edge cases and business logic through parameterization

关于

主要功能

Mocking and patching of external dependencies and services
Parameterized testing for high-input data coverage
Comprehensive Test-Driven Development (TDD) implementation
Asynchronous and concurrent operation testing protocols
Advanced pytest patterns and fixture lifecycle management
0 GitHub stars

使用场景

Mocking third-party service calls to ensure isolated and reliable tests
Building robust unit and integration test suites for backend APIs
Validating complex edge cases and business logic through parameterization