Does this skill help with edge-case testing?

Absolutely. It analyzes data types and logical branches to generate tests for boundary values, empty inputs, null values, and maximum/minimum constraints.

How does it handle external dependencies?

It uses an intelligent mock strategy that identifies external imports and automatically generates mock objects, configured return values, and call verification assertions.

Which testing frameworks are supported by this skill?

The skill supports a wide range of popular frameworks including Jest, Vitest, Mocha, and Jasmine for JavaScript/TypeScript; pytest and unittest for Python; and JUnit 5, TestNG, and Mockito for Java.

Can I use it to improve existing code coverage?

Yes, the skill includes a coverage optimization feature that analyzes coverage reports to identify untested branches and generates specific cases to close those gaps.

Can it handle asynchronous code and Promises?

Yes, it specifically detects async functions and Promises, generating appropriate test code using async/await or callback patterns to ensure reliable testing of non-blocking operations.

Automated Test Generator

Name: Automated Test Generator
Author: Protagonistss

byProtagonistss

セキュリティとテスト

Generates comprehensive unit tests, mocks, and edge-case scenarios across multiple programming languages and frameworks.

概要

The Automated Test Generator skill streamlines the software testing lifecycle by using AST analysis to understand code structure and behavior. It automatically produces production-grade unit tests for languages including JavaScript, TypeScript, Python, Java, and more, following the Arrange-Act-Assert (AAA) pattern. Whether you need to cover simple utility functions, complex asynchronous services, or legacy codebases, this skill identifies happy paths, boundary conditions, and potential error states while generating the necessary mock data to ensure isolated and reliable test execution.

主な機能

Coverage-driven test optimization to fill gaps in code branches
0 GitHub stars
Boundary value and error-case scenario identification
Automated mock generation for external modules and API calls
Multi-language support for JS/TS, Python, Java, Go, C#, and Ruby
Intelligent AST parsing to identify functions, classes, and dependencies

ユースケース

Increasing code coverage in legacy projects by identifying untested logic paths
Accelerating test-driven development by generating boilerplate test suites instantly
Creating robust mocks and test data for complex integration points

概要

主な機能

Coverage-driven test optimization to fill gaps in code branches
0 GitHub stars
Boundary value and error-case scenario identification
Automated mock generation for external modules and API calls
Multi-language support for JS/TS, Python, Java, Go, C#, and Ruby
Intelligent AST parsing to identify functions, classes, and dependencies

ユースケース

Increasing code coverage in legacy projects by identifying untested logic paths
Accelerating test-driven development by generating boilerplate test suites instantly
Creating robust mocks and test data for complex integration points