Can it show me exactly which lines are missing tests?

Yes, the skill specifically identifies and highlights the exact lines or blocks of code that were not executed during your test runs.

Do I need to configure my project first?

Yes, your project should have a standard coverage tool already configured in your environment (such as in package.json or pyproject.toml) for Claude to run.

What tools does this skill support?

It integrates with popular coverage libraries such as nyc for Node.js, coverage.py for Python, and JaCoCo for Java to collect and parse metrics.

How do I trigger the coverage analysis?

You can use natural language triggers like 'analyze coverage', 'code coverage report', or the convenient shortcut 'cov' to start the analysis.

Test Coverage Analyzer

Name: Test Coverage Analyzer
Author: BbgnsurfTech

byBbgnsurfTech

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セキュリティとテスト

Analyzes code coverage metrics to identify untested code paths and generate detailed quality reports.

概要

The Test Coverage Analyzer skill empowers Claude to evaluate the effectiveness of your test suites by collecting and parsing coverage data from industry-standard tools like nyc, coverage.py, and JaCoCo. It identifies specific lines or blocks of code that lack test coverage, provides granular metrics for branches and functions, and helps developers maintain high software quality by pinpointing critical gaps before deployment or during code reviews.

主な機能

Detailed reporting for line, branch, function, and statement coverage
Threshold enforcement to maintain project code quality standards
Automated execution of test suites with coverage tracking enabled
Multi-language support via standard coverage tool integration
Visual identification of specific untested code blocks in source files
3 GitHub stars

ユースケース

Auditing an existing codebase to find hidden gaps in the unit test suite
Generating a comprehensive coverage report for stakeholders or pull requests
Identifying specific untested logic in newly created utility files

概要

主な機能

Detailed reporting for line, branch, function, and statement coverage
Threshold enforcement to maintain project code quality standards
Automated execution of test suites with coverage tracking enabled
Multi-language support via standard coverage tool integration
Visual identification of specific untested code blocks in source files
3 GitHub stars

ユースケース

Auditing an existing codebase to find hidden gaps in the unit test suite
Generating a comprehensive coverage report for stakeholders or pull requests
Identifying specific untested logic in newly created utility files