test-generator

To generate unit tests for Python and JavaScript codebases, this Skill analyzes function signatures and type hints to automatically create test files with null, boundary, and injection payload edge cases.

Yes, you can generate integration tests for an entire codebase by indexing the project first, which allows the test generation process to map all functions and produce a comprehensive coverage report.

Type hint analysis drives test automation by reading function signatures and parameter names to derive relevant test cases, ensuring that inputs match expected types and handling potential type mismatch edge cases.

Yes, this test generator supports zero-token skeleton generation, allowing you to instantly create basic test file structures for your Python or JavaScript modules without consuming additional processing tokens.

The best way to identify untested functions is to generate a codebase-wide coverage report, which provides a clear overview mapping all tested functions against those lacking unit or integration tests.

No, the test generation process requires no external dependencies, operating independently to analyze your codebase and produce test files with edge cases based on smart signature parsing.