How does this skill handle test naming?

It enforces a descriptive 'test_ _ _ ' pattern to ensure that the purpose and expected result of every test case are immediately clear.

Does it support mocking external services?

Yes, while it prefers real implementations for internal logic, it provides specific instructions for using 'respx' for HTTP APIs and 'monkeypatch' for other mocking needs.

What is the AAA pattern mentioned in the features?

AAA stands for Arrange-Act-Assert. It is a pattern that organizes tests into three distinct steps: setting up the data, executing the function, and verifying the outcome.

Which testing framework does this Claude Code skill support?

This skill is specifically optimized for the Python Pytest framework, focusing on its specific features like fixtures, parametrization, and monkeypatching.

Can this skill help with existing test files?

Yes, the skill is designed to reuse existing test files and fixtures to maintain project consistency rather than creating redundant new files.

Python Testing & Pytest Standards

Name: Python Testing & Pytest Standards
Author: dimigor

bydimigor

0•

Security & Testing

Implements high-quality Python test suites using Pytest best practices, AAA patterns, and standardized naming conventions.

This skill provides Claude with specialized guidance for writing robust Python tests using the Pytest framework. It enforces clean testing principles such as the Arrange-Act-Assert (AAA) pattern, parametrized testing for efficiency, and a standardized naming structure to ensure clarity. By emphasizing the reuse of fixtures and real implementations over excessive mocking, it helps developers maintain a reliable, readable, and maintainable test suite that integrates seamlessly into existing codebases while covering happy paths, edge cases, and error conditions.

Key Features

01Intelligent fixture reuse and modular import management

02Automated group cases using @pytest.mark.parametrize for efficiency

03Standardized test naming convention (test_what_condition_outcome)

04Implementation of the Arrange-Act-Assert (AAA) architectural pattern

05Advanced mocking guidance using monkeypatch and respx for HTTP APIs

060 GitHub stars

Use Cases

01Creating comprehensive unit tests for new features while adhering to existing project styles

02Refactoring legacy test files into clean, parametrized suites to reduce code duplication

03Adding edge-case and error-condition coverage to existing Python modules to improve reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dimigor/dotfiles testing

For use in Claude.ai and ChatGPT

Download Skill