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test-coverage skill

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This skill helps you measure and improve test coverage by identifying untested paths and prioritizing high-risk areas for targeted testing.

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---
name: "Test Coverage Analysis"
description: "Measure and improve test coverage by identifying untested code paths and prioritizing high-risk areas for testing"
category: "testing"
required_tools: ["Read", "Bash", "Grep"]
---

# Test Coverage Analysis

## Purpose
Measure and improve test coverage to ensure code is adequately tested and identify untested areas that may contain bugs.

## When to Use
- Evaluating test suite quality
- Identifying untested code paths
- Setting testing goals
- Validating test completeness

## Key Capabilities
1. **Coverage Measurement** - Run coverage tools and interpret results
2. **Gap Analysis** - Identify critical untested code
3. **Prioritization** - Focus on high-risk areas first

## Approach
1. Run coverage tool on test suite
2. Review coverage report (line, branch, function coverage)
3. Identify uncovered critical paths
4. Prioritize based on risk and complexity
5. Write tests for important gaps
6. Re-run coverage to validate improvement

## Example
**Context**: Coverage report shows 75% line coverage
````
Analysis:
- Core business logic: 95% covered ✓
- Error handling: 45% covered ⚠️
- Edge cases: 30% covered ⚠️
- UI code: 60% covered

Priority:
1. Add tests for error handling (high risk)
2. Cover common edge cases
3. UI testing (lower priority)
````

## Best Practices
- ✅ Aim for 80%+ coverage on critical code
- ✅ Focus on meaningful tests, not just coverage numbers
- ✅ Test edge cases and error paths
- ❌ Avoid: Chasing 100% coverage on trivial code

Overview

This skill measures and improves test coverage by finding untested code paths and prioritizing high-risk areas for testing. It helps teams focus testing effort where it matters most, turning raw coverage numbers into concrete actions that reduce risk and increase reliability.

How this skill works

The skill runs coverage tools against your test suite, parses line, branch, and function coverage reports, and highlights uncovered code paths that are likely to contain bugs. It performs a gap analysis to rank uncovered areas by risk and complexity, then produces a prioritized plan for writing tests and validating improvements.

When to use it

Evaluating overall quality and completeness of a test suite
Before a release to ensure critical paths are protected
When integrating new features that touch core logic
To allocate testing resources effectively in large codebases
During refactoring to ensure behavior remains covered

Best practices

Aim for 80%+ coverage on critical business logic rather than an arbitrary project-wide target
Prioritize tests for error handling, edge cases, and input validation before low-risk UI code
Write meaningful assertions that validate behavior, not just lines executed
Iterate: re-run coverage after adding tests to confirm improvements
Avoid chasing 100% coverage on trivial or generated code

Example use cases

A CI job that fails the build if critical modules drop below a coverage threshold
A sprint planning session where uncovered high-risk functions are added to the backlog
Targeted test writing after a code audit reveals low branch and error-path coverage
Risk-based testing for a release: focus efforts on components with highest business impact
Regression protection: add tests for uncovered bugs discovered in production

FAQ

Does higher coverage guarantee fewer bugs?

No. Coverage shows which code is executed by tests, but not test quality. Focus on meaningful tests for high-risk paths.

Which coverage metrics should I track?

Track line and branch coverage for logic-heavy modules; function coverage can be useful but less precise for branches and error paths.