What metrics are included in the generated reports?

Reports typically include metrics for line, branch, function, and statement coverage to give you a complete view of your test suite's effectiveness.

Does this skill help with CI/CD workflows?

Yes, by identifying gaps and enforcing thresholds, it helps ensure your code is ready for production and passes CI/CD quality gates.

Which coverage tools does this skill support?

The skill is designed to work with standard industry tools such as nyc for JavaScript, coverage.py for Python, and JaCoCo for Java, provided they are configured in your project.

How do I trigger the coverage analysis?

You can trigger the skill using natural language phrases like 'analyze coverage' or 'show untested code', or by using the 'cov' shortcut.

Can I analyze a specific file instead of the whole project?

Yes, you can ask Claude to identify untested code in a specific file by name, and it will filter the coverage data accordingly.

Test Coverage Analyzer

Name: Test Coverage Analyzer
Author: jeremylongshore

byjeremylongshore

•

884

보안 및 테스팅

Analyzes code coverage metrics to identify untested code paths and generate comprehensive reports for improved software quality.

소개

The Test Coverage Analyzer skill enables Claude to automatically execute project test suites and parse coverage data from tools like nyc, coverage.py, or JaCoCo. It helps developers maintain high standards by pinpointing specific lines, branches, or functions that lack test coverage and providing detailed reports to guide testing efforts. This skill is essential for identifying coverage gaps, enforcing quality thresholds, and ensuring that new features are properly validated before deployment.

주요 기능

884 GitHub stars
Automated coverage data collection and execution
Support for enforcing minimum coverage thresholds
Precise identification of uncovered code blocks
Integration with industry-standard coverage tools
Detailed line, branch, and function coverage reporting

사용 사례

Generating a full project coverage report to assess testing health
Verifying that new code meets required coverage benchmarks
Locating specific untested lines within a single source file

소개

주요 기능

884 GitHub stars
Automated coverage data collection and execution
Support for enforcing minimum coverage thresholds
Precise identification of uncovered code blocks
Integration with industry-standard coverage tools
Detailed line, branch, and function coverage reporting

사용 사례

Generating a full project coverage report to assess testing health
Verifying that new code meets required coverage benchmarks
Locating specific untested lines within a single source file