Can it help prioritize which tests to write first?

Yes, it calculates priority based on factors like code complexity, business criticality, bug history, and recent change frequency to recommend the most impactful tests.

Does it track coverage over time?

Absolutely. The skill maintains historical data to visualize coverage trends across different sprints or components, helping you spot and address declining quality trends.

How does it map coverage to requirements?

It integrates with traceability data to identify which functional requirements lack corresponding test execution, ensuring full feature verification and compliance.

Which coverage report formats are supported?

The skill supports common industry formats including LCOV, Cobertura, Istanbul/NYC, Jest JSON, Pytest coverage.xml, and Go coverage.out files.

Can I use it to find specific untested lines of code?

Yes, the skill identifies exact line ranges and logic branches that haven't been executed, providing contextual examples for targeted test creation.

Automated Test Coverage Analyst

Name: Automated Test Coverage Analyst
Author: jmagly

byjmagly

•

安全与测试

Analyzes test coverage reports, identifies untested code gaps, and provides prioritized recommendations to improve software quality.

关于

This skill empowers Claude to perform deep-dive assessments of your project's test suite by parsing standard coverage formats like LCOV, Cobertura, and Istanbul. It goes beyond simple percentages by mapping coverage to business requirements, identifying high-risk untested paths in public APIs, and tracking coverage trends over time. It is particularly useful during code reviews or 'test debt' sprints to ensure critical logic is verified and to maintain high standards of reliability through automated, actionable insights and prioritized implementation plans.

主要功能

Gap identification for untested public APIs and critical logic paths
Prioritized test recommendations with effort and impact estimation
Longitudinal trend tracking to monitor coverage health across sprints
Requirement-to-test traceability mapping and status reporting
67 GitHub stars
Multi-format coverage report parsing for JavaScript, Python, Java, and Go

使用场景

Automating coverage audits during CI/CD or before major software releases
Identifying business-critical code paths that lack sufficient branch coverage
Generating a prioritized action plan to resolve technical debt in testing

关于

主要功能

Gap identification for untested public APIs and critical logic paths
Prioritized test recommendations with effort and impact estimation
Longitudinal trend tracking to monitor coverage health across sprints
Requirement-to-test traceability mapping and status reporting
67 GitHub stars
Multi-format coverage report parsing for JavaScript, Python, Java, and Go

使用场景

Automating coverage audits during CI/CD or before major software releases
Identifying business-critical code paths that lack sufficient branch coverage
Generating a prioritized action plan to resolve technical debt in testing