Which test runner does this skill support?

This skill is built exclusively for pytest, favoring its native features over legacy frameworks like unittest or nose.

How does it handle external API dependencies in tests?

It provides standardized patterns using respx for httpx and aioresponses for aiohttp to mock external HTTP interactions effectively.

Does it support testing for asynchronous Python code?

Yes, it fully supports async testing using pytest-asyncio and provides specific patterns for mocking async functions and external service calls.

Can I use this to generate coverage reports?

Absolutely. The skill integrates pytest-cov and provides standard configurations to generate terminal and HTML coverage reports.

What tools are recommended for mocking?

The skill utilizes pytest-mock as a wrapper for unittest.mock, offering a more idiomatic and convenient way to handle mocks within pytest fixtures.

Python Testing Expert

Name: Python Testing Expert
Author: timequity

bytimequity

보안 및 테스팅

Automates the creation of high-quality Python test suites using the pytest ecosystem, async patterns, and advanced mocking.

소개

The testing-python skill provides a comprehensive framework for modern Python testing, ensuring developers follow industry best practices by leveraging the full pytest ecosystem. It handles everything from unit and integration testing to complex asynchronous patterns and property-based testing. By enforcing a standardized directory structure and providing pre-configured settings for coverage and mocking, this skill helps developers build resilient, production-ready Python applications with high confidence and minimal boilerplate.

주요 기능

Automated setup for standard Python test directory structures
Advanced mocking patterns for async functions and HTTP services
0 GitHub stars
Support for property-based testing using Hypothesis
Pre-configured pyproject.toml settings for optimized test runs
Full pytest ecosystem integration including asyncio, mock, and cov

사용 사례

Generating comprehensive unit tests for complex Python service logic
Setting up integration tests for asynchronous APIs and database interactions
Automating test coverage reporting and enforcing quality thresholds

소개

주요 기능

Automated setup for standard Python test directory structures
Advanced mocking patterns for async functions and HTTP services
0 GitHub stars
Support for property-based testing using Hypothesis
Pre-configured pyproject.toml settings for optimized test runs
Full pytest ecosystem integration including asyncio, mock, and cov

사용 사례

Generating comprehensive unit tests for complex Python service logic
Setting up integration tests for asynchronous APIs and database interactions
Automating test coverage reporting and enforcing quality thresholds