Can it handle testing for asynchronous functions?

Yes, it includes native support for pytest-asyncio, allowing you to test async/await patterns and async fixtures seamlessly.

Does this skill support the standard unittest library?

No, this skill strictly follows modern pytest standards and avoids the legacy unittest-style classes to ensure cleaner, more idiomatic Python code.

How does it handle external API dependencies in tests?

It utilizes pytest-mock for general mocking and specialized tools like respx or aioresponses for mocking HTTP requests without reaching real endpoints.

Can I use it to check my project's code coverage?

Absolutely. The skill integrates with pytest-cov to generate terminal or HTML coverage reports and can be configured to fail if coverage falls below a specific threshold.

Python Testing (Pytest)

Name: Python Testing (Pytest)
Author: timequity

bytimequity

Security & Testing

Generates comprehensive Python test suites using the modern pytest ecosystem, covering async operations, mocking, and coverage reports.

About

The Python Testing skill streamlines the creation of robust test suites by enforcing modern pytest best practices within Claude Code. It helps developers implement high-quality unit and integration tests, handle asynchronous code with pytest-asyncio, and manage external dependencies via advanced mocking techniques like pytest-mock and respx. By automating the setup of fixtures, configuration files (pyproject.toml), and directory structures, this skill ensures your Python projects maintain high reliability and test coverage without the overhead of manual boilerplate creation.

Key Features

Comprehensive coverage reporting and threshold enforcement
Automated pytest configuration and fixture generation
Advanced HTTP mocking using respx and aioresponses
Full support for asynchronous testing with pytest-asyncio
Property-based testing integration with Hypothesis
0 GitHub stars

Use Cases

Adding unit tests and edge-case validation to existing Python services
Setting up standardized CI/CD test environments with automated coverage reporting
Testing complex asynchronous API integrations and external HTTP calls

About

Key Features

Comprehensive coverage reporting and threshold enforcement
Automated pytest configuration and fixture generation
Advanced HTTP mocking using respx and aioresponses
Full support for asynchronous testing with pytest-asyncio
Property-based testing integration with Hypothesis
0 GitHub stars

Use Cases

Adding unit tests and edge-case validation to existing Python services
Setting up standardized CI/CD test environments with automated coverage reporting
Testing complex asynchronous API integrations and external HTTP calls