| name | calculate-coverage |
| description | Measure test coverage and identify untested code. Use when assessing test completeness. |
| mcp_fallback | none |
| category | analysis |
| tier | 2 |
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-testsskill for test execution - See
generate-testsskill for test creation - See CLAUDE.md > Key Development Principles (TDD) for testing strategy