Claude-skill-registry calculate-coverage

Measure test coverage and identify untested code. Use when assessing test completeness.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/calculate-coverage" ~/.claude/skills/majiayu000-claude-skill-registry-calculate-coverage && rm -rf "$T"

manifest: skills/data/calculate-coverage/SKILL.md

Calculate Coverage

Measure code coverage percentage and identify which code paths are untested to ensure comprehensive testing.

When to Use

Checking test coverage for modules
Identifying gaps in test suites
Meeting coverage thresholds (typically 80%+)
Planning additional test cases

Quick Reference

# Python coverage with pytest
pip install coverage pytest-cov
pytest --cov=module_name --cov-report=html tests/

# View coverage report
open htmlcov/index.html

# Check coverage threshold
coverage report --fail-under=80

Workflow

Install coverage tool: Set up measurement infrastructure
Run tests with coverage: Execute test suite capturing coverage data
Generate report: Create HTML or text coverage report
Analyze gaps: Identify untested functions, branches, edge cases
Plan improvements: Create tests for uncovered code paths

Output Format

Coverage analysis:

Overall coverage percentage
Per-module coverage breakdown
Uncovered lines (with line numbers)
Branch coverage (if applicable)
Recommendations for improvement

References

See
```
run-tests
```
skill for test execution
See
```
generate-tests
```
skill for test creation
See CLAUDE.md > Key Development Principles (TDD) for testing strategy