analyzing-test-coverage
About
This skill analyzes code coverage metrics to identify untested code and generate comprehensive coverage reports. It helps developers improve code quality by pinpointing gaps in test suites and ensuring adequate test coverage. Use trigger terms like "analyze coverage," "code coverage report," or "cov" to activate it.
Documentation
Overview
This skill enables Claude to analyze code coverage metrics, pinpoint areas of untested code, and generate detailed reports. It helps you identify gaps in your test suite and ensure comprehensive code coverage.
How It Works
- Coverage Data Collection: Claude executes the project's test suite with coverage tracking enabled (e.g., using
nyc,coverage.py, or JaCoCo). - Report Generation: The plugin parses the coverage data and generates a detailed report, including metrics for line, branch, function, and statement coverage.
- Uncovered Code Identification: Claude highlights specific lines or blocks of code that are not covered by any tests.
When to Use This Skill
This skill activates when you need to:
- Analyze the overall code coverage of your project.
- Identify specific areas of code that lack test coverage.
- Generate a detailed report of code coverage metrics.
- Enforce minimum code coverage thresholds.
Examples
Example 1: Analyzing Project Coverage
User request: "Analyze code coverage for the entire project"
The skill will:
- Execute the project's test suite with coverage tracking.
- Generate a comprehensive coverage report, showing line, branch, and function coverage.
Example 2: Identifying Untested Code
User request: "Show me the untested code in the src/utils.js file"
The skill will:
- Analyze the coverage data for
src/utils.js. - Highlight the lines of code in
src/utils.jsthat are not covered by any tests.
Best Practices
- Configuration: Ensure your project has a properly configured coverage tool (e.g.,
nycin package.json). - Thresholds: Define minimum coverage thresholds to enforce code quality standards.
- Report Review: Regularly review coverage reports to identify and address coverage gaps.
Integration
This skill can be integrated with other testing and CI/CD tools to automate coverage analysis and reporting. For example, it can be used in conjunction with a linting plugin to identify both code style issues and coverage gaps.
Quick Install
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus/tree/main/test-coverage-analyzerCopy and paste this command in Claude Code to install this skill
GitHub 仓库
Related Skills
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
webapp-testing
TestingThis Claude Skill provides a Playwright-based toolkit for testing local web applications through Python scripts. It enables frontend verification, UI debugging, screenshot capture, and log viewing while managing server lifecycles. Use it for browser automation tasks but run scripts directly rather than reading their source code to avoid context pollution.
go-test
MetaThe go-test skill provides expertise in Go's standard testing package and best practices. It helps developers implement table-driven tests, subtests, benchmarks, and coverage strategies while following Go conventions. Use it when writing test files, creating mocks, detecting race conditions, or organizing integration tests in Go projects.
finishing-a-development-branch
TestingThis skill helps developers complete finished work by verifying tests pass and then presenting structured integration options. It guides the workflow for merging, creating PRs, or cleaning up branches after implementation is done. Use it when your code is ready and tested to systematically finalize the development process.
