test-gap-analyzer

Test-gap-analyzer scans your codebase to pinpoint functions with zero coverage, low-coverage modules, and untested error paths. It integrates with coverage data sources like coverage.py and coverage.json to surface gaps before release, generating a prioritized report with concrete test templates aligned to the testing pyramid.

Yes. Test-gap-analyzer supports Python, JavaScript, TypeScript, and Go codebases. It requires integration with coverage tools—coverage.py for Python, Jest or coverage.json for JavaScript/TypeScript—to analyze code structure and dependencies across these languages.

The Skill analyzes untested areas and generates specific test case descriptions with ready-to-use code templates, prioritized by risk and impact. It aligns suggestions to a balanced testing pyramid: 60% unit tests, 30% integration tests, and 10% E2E tests to guide test creation systematically.

You need coverage data in a format supported by coverage.py, pytest, or Jest. The Skill requires access to your source repository and coverage reports to identify gaps. It processes coverage.json or similar outputs to map untested functions and missing edge cases.

Run test-gap-analyzer during code review, test planning, and coverage improvement cycles—especially before major releases. It surfaces critical gaps early so you can prioritize test creation and reduce bugs before deployment.

Yes. Beyond low-coverage detection, test-gap-analyzer surfaces untested error paths and missing edge cases in your codebase. It highlights which scenarios lack test coverage so you can write more comprehensive tests and catch subtle bugs.