Can it handle complex edge cases?

Yes, it is designed to specifically target null/undefined values, empty inputs, boundary values, concurrent access, and network failures.

What is the naming convention for the tests?

It uses a descriptive format: [methodName]_[scenario]_[expectedResult], for example: calculateTotal_emptyCart_returnsZero.

What are the recommended coverage goals?

The skill suggests aiming for 80%+ statement/line coverage, 75%+ branch coverage, and 90%+ function coverage.

What test patterns does this skill use?

The skill follows the Arrange-Act-Assert (AAA) pattern to ensure that every generated test is readable, structured, and easy to maintain.

Does it support both unit and integration testing?

Yes, it provides logic for both isolated unit tests with mocked dependencies and integration tests that check component interactions.

Automated Test Generation

Name: Automated Test Generation
Author: duhenri9

byduhenri9

Security & Testing

Generates comprehensive unit and integration test suites using the AAA pattern to ensure robust code coverage and reliability.

About

This skill empowers developers to automate the creation of high-quality test suites by providing structured guidance for unit and integration testing. It implements industry-standard practices like the Arrange-Act-Assert (AAA) pattern and specific naming conventions to improve code maintainability and readability. By systematically identifying edge cases, mocking dependencies, and establishing clear coverage goals, it helps ensure that software remains resilient against regressions, invalid inputs, and unexpected network failures.

Key Features

Strict adherence to the AAA (Arrange-Act-Assert) pattern
Comprehensive edge case identification including nulls and network failures
Predefined coverage targets for statements, branches, and functions
Automated Unit and Integration test generation
0 GitHub stars
Standardized naming conventions for improved test suite clarity

Use Cases

Scaffolding test suites for new features during the development phase
Validating complex edge cases and error handling logic in critical functions
Increasing test coverage for existing legacy codebases

About

Key Features

Strict adherence to the AAA (Arrange-Act-Assert) pattern
Comprehensive edge case identification including nulls and network failures
Predefined coverage targets for statements, branches, and functions
Automated Unit and Integration test generation
0 GitHub stars
Standardized naming conventions for improved test suite clarity

Use Cases

Scaffolding test suites for new features during the development phase
Validating complex edge cases and error handling logic in critical functions
Increasing test coverage for existing legacy codebases