test-coverage-analyzer
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SKILL.md
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Test Coverage Analyzer Skill
Analyzes test coverage comprehensively to identify gaps and ensure adequate test safety nets before undertaking migration efforts.
Purpose
Enable comprehensive test coverage analysis for:
- Pre-migration coverage assessment
- Critical path coverage verification
- Coverage gap identification
- Test strategy planning
- Regression risk assessment
Capabilities
1. Line/Branch/Path Coverage Measurement
- Calculate line coverage percentages
- Measure branch coverage
- Analyze path coverage
- Track condition coverage
2. Coverage Gap Identification
- Find untested code paths
- Identify missing edge cases
- Detect uncovered error handlers
- Map coverage blind spots
3. Critical Path Coverage Analysis
- Identify business-critical paths
- Prioritize coverage by importance
- Map risk vs coverage
- Generate focused test recommendations
4. Integration Test Coverage Mapping
- Track integration point coverage
- Map API endpoint testing
- Assess database operation coverage
- Verify external service testing
5. Coverage Trend Analysis
- Track coverage over time
- Identify coverage regression
- Monitor improvement progress
- Generate trend reports
Tool Integrations
| Tool | Language | Integration Method |
|---|---|---|
| Istanbul/nyc | JavaScript/TypeScript | CLI |
| JaCoCo | Java | CLI / Maven/Gradle |
| Cobertura | Java/Python | CLI |
| Coverage.py | Python | CLI |
| SimpleCov | Ruby | CLI |
| go test -cover | Go | CLI |
| dotCover | .NET | CLI |
Output Schema
{
"analysisId": "string",
"timestamp": "ISO8601",
"coverage": {
"line": {
"percentage": "number",
"covered": "number",
"total": "number"
},
"branch": {
"percentage": "number",
"covered": "number",
"total": "number"
},
"function": {
"percentage": "number",
"covered": "number",
"total": "number"
}
},
"gaps": [
{
"file": "string",
"uncoveredLines": ["number"],
"uncoveredBranches": ["string"],
"criticality": "high|medium|low",
"recommendation": "string"
}
],
"criticalPaths": {
"covered": "number",
"total": "number",
"uncoveredPaths": []
}
}
Integration with Migration Processes
- migration-testing-strategy: Coverage baseline establishment
- code-refactoring: Pre-refactoring safety assessment
- framework-upgrade: Regression protection verification
Related Skills
characterization-test-generator: Generate tests for gapsstatic-code-analyzer: Combined quality analysis
Related Agents
migration-testing-strategist: Uses for test planningregression-detector: Uses for regression prevention
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/specializations/code-migration-modernization/skills/test-coverage-analyzer/SKILL.mdView on GitHub Overview
Test Coverage Analyzer assesses coverage to identify gaps that could compromise migration safety nets. It supports pre-migration baselining, critical-path verification, and gap-driven test planning to reduce regression risk.
How This Skill Works
It measures line, branch, and path coverage, detects untested paths and missing edge cases, and prioritizes coverage for business-critical paths. It also maps integration test coverage, analyzes coverage trends over time, and provides focused test recommendations aligned with migration goals.
When to Use It
- Before migrating a codebase, to establish a coverage baseline
- When verifying that critical business paths are thoroughly tested
- To identify coverage gaps, missing edge cases, and uncovered error handlers
- During test strategy planning for migrations and framework upgrades
- For regression risk assessment and trend monitoring across migrations
Quick Start
- Step 1: Instrument the project with appropriate coverage tools (Istanbul/nyc, JaCoCo, Coverage.py, etc.)
- Step 2: Run coverage analysis to collect line, branch, and path metrics
- Step 3: Review gaps, prioritize critical paths, and generate targeted test recommendations
Best Practices
- Run a baseline coverage using supported tools (Istanbul/nyc, JaCoCo, Coverage.py, etc.)
- Prioritize critical paths and integration points first
- Document uncovered gaps and assign owners for remediation
- Track coverage trends over time to detect regressions
- Re-run coverage after code changes or refactors to validate safety nets
Example Use Cases
- Assess a Java service's migration using JaCoCo to locate uncovered paths
- Map API endpoint test coverage during migration of microservices
- Identify uncovered error handlers in a Python module prior to rollout
- Compare coverage before and after a refactor to ensure regression safety
- Plan regression tests for a Go service using go test -cover
Frequently Asked Questions
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