What is the default coverage standard?

The skill enforces a minimum coverage standard of 80% with branch coverage enabled to ensure deep logic validation.

What testing patterns does it promote?

It promotes the Arrange-Act-Assert (AAA) pattern for clear test structure and utilizes shared fixtures via conftest.py for efficient test data management.

Can it help with non-functional testing?

Yes, it includes specialized workflows for security testing, performance benchmarking, and end-to-end system validation.

Which testing frameworks does this skill support?

This skill is primarily optimized for pytest-based projects using the uv package manager, but it includes patterns applicable to unittest and general Python testing.

Automated Testing & QA

Name: Automated Testing & QA
Author: williaby

bywilliaby

0•

Security & Testing

Generates, reviews, and executes comprehensive pytest-based testing suites to ensure code reliability, security, and performance.

This skill streamlines the entire testing lifecycle for Python projects, specifically targeting pytest-based environments. It provides automated test generation and code quality reviews while supporting advanced validation techniques like mutation testing and property-based testing. By enforcing a minimum 80% coverage standard and implementing industry-standard patterns like Arrange-Act-Assert (AAA), this skill helps developers build robust RAG applications and complex systems with confidence in their unit, integration, and end-to-end test suites.

Key Features

01Automated test case generation for Python modules

02Standardized test organization and fixture patterns

03Comprehensive coverage reporting including branch coverage

04Specialized workflows for security, performance, and E2E testing

05Integration with mutation and property-based testing tools

060 GitHub stars

Use Cases

01Generating initial test suites for new Python microservices

02Implementing performance benchmarks and security audits for RAG systems

03Auditing existing test code for quality and coverage gaps

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add williaby/image-preprocessing-detector testing

For use in Claude.ai and ChatGPT

Key Features

01Automated test case generation for Python modules

02Standardized test organization and fixture patterns

03Comprehensive coverage reporting including branch coverage

04Specialized workflows for security, performance, and E2E testing

05Integration with mutation and property-based testing tools

060 GitHub stars

Use Cases

01Generating initial test suites for new Python microservices

02Implementing performance benchmarks and security audits for RAG systems

03Auditing existing test code for quality and coverage gaps

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add williaby/image-preprocessing-detector testing

For use in Claude.ai and ChatGPT