Can I use shortcuts to trigger a coverage analysis?

Yes, you can use the shortcut 'cov' or natural language commands like 'analyze coverage' to trigger the skill.

Which coverage tools are supported by this skill?

The skill can execute and parse data from various standard tools including nyc (Node.js), coverage.py (Python), and JaCoCo (Java) via bash commands.

Does it highlight specific lines of untested code?

Absolutely. It can analyze specific files and highlight the exact lines or blocks that are not currently exercised by your test suite.

How does this help with CI/CD?

It allows you to identify coverage regressions and enforce minimum coverage thresholds before code is committed or merged.

Is any special configuration required?

You should ensure your project has a properly configured coverage tool in your environment so the skill can execute the tests and read the output.

Test Coverage Analyzer

Name: Test Coverage Analyzer
Author: intent-solutions-io

byintent-solutions-io

Security & Testing

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

About

The Test Coverage Analyzer skill empowers developers to maintain high software standards by automatically identifying gaps in test suites. By executing project-specific testing tools and parsing coverage data, it highlights exactly which lines, branches, and functions remain untested. This skill is essential for improving codebase reliability, enforcing quality thresholds, and providing actionable insights into where additional unit or integration tests are most needed.

Key Features

Automated coverage data collection and parsing
Line-by-line identification of uncovered code blocks
Comprehensive metrics for line, branch, and function coverage
Support for industry-standard tools like nyc, coverage.py, and JaCoCo
Threshold enforcement to ensure project quality standards
0 GitHub stars

Use Cases

Identifying untested logic branches in complex utility files
Generating detailed coverage reports for code review or audit purposes
Pinpointing specific gaps in test suites for legacy codebase modernization

About

Key Features

Automated coverage data collection and parsing
Line-by-line identification of uncovered code blocks
Comprehensive metrics for line, branch, and function coverage
Support for industry-standard tools like nyc, coverage.py, and JaCoCo
Threshold enforcement to ensure project quality standards
0 GitHub stars

Use Cases

Identifying untested logic branches in complex utility files
Generating detailed coverage reports for code review or audit purposes
Pinpointing specific gaps in test suites for legacy codebase modernization