test-coverage-improver

To improve test coverage, this Skill executes coverage tools to analyze your Python repository, identifies files with low coverage, and proposes high-impact tests for uncovered lines and critical code paths before writing them.

Identifying files with low test coverage is done by running coverage tools like Python's coverage.py to analyze metrics, pinpoint gaps in your code, and propose specific tests to prevent future regressions.

Yes, you need Python's coverage.py and potentially other testing utilities to analyze code coverage metrics, assess code quality, and accurately report on uncovered lines within your software development project.

You can generate regression tests by having the Skill propose specific, high-impact tests for uncovered critical code paths, which are then automatically written and confirmed with you before being added to the repository.

Running a coverage assessment involves executing coverage tools from your repository root to generate coverage artifacts, analyzing the results, and identifying areas with no test coverage to ensure code robustness.

Automated test coverage improvement requires user confirmation before writing proposed tests, meaning it does not blindly commit code, and it relies entirely on the accuracy of coverage.py artifacts generated from your existing testing utilities.