Which programming languages are supported?

This skill provides specialized templates and tool integrations for Go (Gopter), Python (Hypothesis/Mutmut), and TypeScript (Fast-check/Stryker).

Can I use this for simple CRUD operations?

While possible, it is not recommended for trivial one-liners or simple CRUD. It is best used for complex logic where edge cases and invariants are difficult to track manually.

What is property-based testing in this skill?

Property-based testing checks that certain invariants (rules) hold true for any random input, making it 50x more effective at finding edge cases than standard unit tests.

What are the recommended coverage targets?

The workflow aims for a minimum of 80% line coverage and a 60% mutation score to ensure a high-quality, reliable codebase.

How does mutation testing improve my code?

Mutation testing introduces intentional bugs into your code to see if your tests catch them. It provides a 'mutation score' that measures the actual effectiveness of your test suite.

AI Test Generation Workflow

Name: AI Test Generation Workflow
Author: pagerguild

bypagerguild

安全与测试

Generates high-quality test suites using unit, property-based, and mutation testing patterns to maximize code reliability.

关于

This skill implements a sophisticated AI-driven Test Quality Pyramid designed to catch up to 50x more bugs than traditional testing methods. By combining standard unit tests with property-based testing and mutation testing validation, it ensures that your test suite not only covers the code but is actually capable of detecting regressions. It is particularly useful for achieving high coverage targets in Go, Python, and TypeScript projects, providing systematic edge-case discovery and a robust safety net for complex refactoring tasks.

主要功能

Multi-layered Test Quality Pyramid (Unit, Property, Mutation)
Comprehensive coverage targeting for Go, Python, and TypeScript
Automated property-based test generation for systematic bug hunting
Heuristic-based analysis for edge cases and boundary conditions
0 GitHub stars
Mutation testing integration to validate test suite effectiveness

使用场景

Implementing Test-Driven Development (TDD) with automated scaffolding
Generating comprehensive test coverage for new or legacy codebases
Validating test suite quality through mutation score analysis

关于

主要功能

Multi-layered Test Quality Pyramid (Unit, Property, Mutation)
Comprehensive coverage targeting for Go, Python, and TypeScript
Automated property-based test generation for systematic bug hunting
Heuristic-based analysis for edge cases and boundary conditions
0 GitHub stars
Mutation testing integration to validate test suite effectiveness

使用场景

Implementing Test-Driven Development (TDD) with automated scaffolding
Generating comprehensive test coverage for new or legacy codebases
Validating test suite quality through mutation score analysis