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viknesh20-20viknesh20-20/claude-code-tool-kit/.claude/skills/code-coverage/SKILL.md

code-coverage

Skill7 starsChanged 6 months agoMITView on GitHub

Analyzes test coverage, identifies untested code paths, and generates tests for the most critical uncovered areas. Use to improve test coverage before releases.

3 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If coverage tools aren't configured, proceed with static analysis.

    line 30
  2. Distinctive:

    Search for corresponding test files

    line 35
  3. Distinctive:

    Don't generate tests just to increase numbers — each test should validate something valuable

    line 77

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Test Coverage Analysis

Detect Test Setup

!ls package.json jest.config.* vitest.config.* .nycrc* .c8rc* .coveragerc* setup.cfg pyproject.toml tox.ini 2>/dev/null !cat package.json 2>/dev/null | grep -E "jest|vitest|c8|nyc|istanbul|coverage" | head -5


Process

Step 1: Run Coverage (if configured)

Attempt to run the project's coverage command:

EcosystemCoverage Command
npm (Jest)npx jest --coverage --json 2>/dev/null
npm (Vitest)npx vitest run --coverage 2>/dev/null
npm (c8)npx c8 report --reporter=json 2>/dev/null
Python (pytest)python -m pytest --cov --cov-report=json 2>/dev/null
Gogo test -coverprofile=coverage.out ./... 2>/dev/null && go tool cover -func=coverage.out
Rustcargo tarpaulin --out json 2>/dev/null

If coverage tools aren't configured, proceed with static analysis.

Step 2: Static Analysis (if no coverage tool)

For the target file(s):

  1. Identify all public functions, methods, and classes
  2. Search for corresponding test files
  3. For each function, check if there's a test that calls it
  4. Map which code paths (branches, error handlers) have test coverage

Step 3: Coverage Report

Summary

MetricValue
Line coverageXX%
Branch coverageXX%
Function coverageXX%
Uncovered filesX

Uncovered Critical Code

List the most important uncovered code, prioritized by:

  1. Business logic — core features and workflows
  2. Error handling — catch blocks, error paths, edge cases
  3. Security-sensitive — auth, input validation, data access
  4. Complex logic — functions with high cyclomatic complexity

For each uncovered area:

  • File path and line numbers
  • What the code does
  • Why it's important to test
  • Suggested test cases

Step 4: Generate Missing Tests

For the top 5 most critical uncovered areas, generate test code following the project's test patterns (same structure as /write-tests).

Step 5: Coverage Improvement Plan

PriorityFileCurrentTargetTests Needed
1...XX%80%+...
2...XX%80%+...

Rules

  • Focus on meaningful coverage, not 100% — test behavior, not implementation
  • Prioritize business logic and error paths over boilerplate
  • Don't generate tests just to increase numbers — each test should validate something valuable
  • Respect existing test patterns and conventions

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