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python-testing

Write and run pytest tests with fixtures, mocking, and coverage.

51|10|Updated Oct 22, 2025
Search Tags:#testing#pytest#python#coverage#mocking#asyncio
One-click install
npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill python-testing-josiahsiegel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-testing
Source: https://github.com/JosiahSiegel/claude-plugin-marketplace/tree/main/plugins/python-master/skills/python-testing
Command: npx skills add https://github.com/JosiahSiegel/claude-plugin-marketplace --skill python-testing-josiahsiegel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive system for writing, running, and managing tests for Python applications, ensuring code quality and reliability.

Core Features & Use Cases

  • Pytest Fundamentals: Learn to write basic tests, use fixtures, and parameterize test cases.
  • Advanced Techniques: Master mocking, asynchronous testing, coverage analysis, and property-based testing.
  • Use Case: You've written a new Python library and need to ensure it's robust. Use this Skill to set up unit and integration tests, mock external dependencies, and verify code coverage meets your standards.

Quick Start

Use the python-testing skill to write a basic pytest test for a function that adds two numbers.

Frequently Asked Questions about python-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a pytest test for a Python function?▼

Python testing with pytest involves creating files prefixed with test_ and defining functions prefixed with test_ to assert expected outcomes. This Skill covers pytest fundamentals, fixtures, and parameterization to build reliable test suites.

How does mocking work in Python testing?▼

Mocking in Python testing replaces external dependencies with simulated objects to isolate code behavior. This Skill uses pytest-mock to master mocking techniques, ensuring unit tests run reliably without triggering real external side effects.

Can I use pytest for asynchronous testing with asyncio?▼

Yes, pytest supports asynchronous testing with asyncio through the pytest-asyncio plugin. This Skill covers async testing techniques, enabling you to write and execute reliable tests for asynchronous Python applications.

What's the best way to measure code coverage in pytest?▼

Measuring code coverage in pytest involves tracking executed lines during test runs to identify untested code. This Skill provides comprehensive coverage analysis capabilities, helping you verify that your test suite meets code quality standards.

Does python-testing support property-based testing?▼

Yes, this Skill supports property-based testing by utilizing the hypothesis framework. This allows you to automatically generate test cases based on defined properties, expanding your test coverage beyond manually written parameterized cases.

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