How does this skill help improve code quality?

It identifies specific areas of your codebase that aren't covered by tests, allowing you to proactively address potential bugs before they reach production.

Can it generate visual or documented reports?

Yes, it generates comprehensive reports in the test-reports directory, including execution summaries, failure analyses, and performance benchmarks.

Does it handle environment setup?

Yes, it provides a structured process for preparing test environments, including checking configurations, loading dependencies, and validating prerequisites.

Which testing frameworks are supported?

The skill is designed to interface with industry-standard frameworks via bash commands, making it adaptable to most languages and platforms.

Test Coverage Analyzer

Name: Test Coverage Analyzer
Author: BbgnsurfTech

byBbgnsurfTech

•

Security & Testing

Analyzes code coverage metrics and identifies untested code paths to ensure software quality and reliability.

About

The Test Coverage Analyzer is a specialized Claude Code skill designed to help developers identify gaps in their testing suites. By automating the execution of test frameworks and processing coverage data, it provides actionable insights into which parts of a codebase remain untested. It streamlines the workflow from environment setup and test execution to detailed reporting, enabling teams to maintain high code quality and meet performance benchmarks through data-driven testing strategies and automated analysis.

Key Features

Detailed test summary and performance reporting
Identification of untested code paths and coverage gaps
3 GitHub stars
Quality gate compliance and benchmark analysis
Success rate calculation and failure pattern detection
Automated test suite execution and monitoring

Use Cases

Automating coverage reports during the development phase or before a release
Debugging failing test suites and analyzing resource utilization
Identifying critical code segments that lack unit or integration tests

About

Key Features

Detailed test summary and performance reporting
Identification of untested code paths and coverage gaps
3 GitHub stars
Quality gate compliance and benchmark analysis
Success rate calculation and failure pattern detection
Automated test suite execution and monitoring

Use Cases

Automating coverage reports during the development phase or before a release
Debugging failing test suites and analyzing resource utilization
Identifying critical code segments that lack unit or integration tests