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Code Coverage Analysis

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PramodDutta
Code Coverage Analysis

Measure and enforce test coverage with Istanbul/nyc, c8, Jest, and Vitest. Covers branch versus line coverage, per-directory thresholds, CI gates, and correctly excluding generated code from reports.

Overview

PublisherPramodDutta
Repositoryqaskills
Skill nameCode Coverage Analysis
Stars
239
Forks
31
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by PramodDutta on GitHub. Read the source before you install it.

Installation

Install the Code Coverage Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/PramodDutta/qaskills/tree/main/seed-skills/code-coverage
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/PramodDutta/qaskills.git /tmp/qaskills
mkdir -p .claude/skills
cp -r /tmp/qaskills/seed-skills/code-coverage .claude/skills/pramoddutta-code-coverage-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Coverage Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Code Coverage Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Code Coverage Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Code Coverage Analysis

This skill makes an AI agent configure coverage collection correctly (Istanbul instrumentation or V8 native coverage), set thresholds that fail builds, read coverage reports to find genuinely untested branches, and exclude generated or config code so the numbers mean something. Trigger it when a user asks "what is our coverage", wants a coverage gate in CI, or when a coverage/ directory, --coverage flag, .nycrc, or coverageThreshold appears in the project.

Core Principles

  1. Branch coverage is the number that matters. Line coverage marks a line as hit even if only one of its outcomes ran. A guard clause if (a && b) return x; can be 100 percent line-covered with three of its four branch outcomes untested.
  2. Coverage is a gap detector, not a quality score. 95 percent coverage with assertion-free tests proves nothing. Use coverage to find untested code paths; use mutation testing to check assertion strength.
  3. Thresholds must fail the build. A coverage report nobody reads is decoration. Wire coverageThreshold (Jest), thresholds (Vitest), or --check-coverage (nyc/c8) so CI goes red on regression.
  4. Set thresholds at current reality, then ratchet. Dropping a 90 percent global gate onto a 60 percent codebase makes the team delete the gate. Start at today's number minus 1, raise it as coverage improves.
  5. Measure all files, not just imported ones. By default some tools only report files touched by tests, so a completely untested module is invisible. Enable all: true (nyc), coverage.all (Vitest), or a broad collectCoverageFrom (Jest).
  6. Exclude generated code explicitly. Protobuf stubs, GraphQL codegen, migrations, and *.d.ts inflate or deflate numbers randomly. Exclude them in config, never by sprinkling ignore comments through generated files.

Setup and Patterns

1. Jest: collection, thresholds, and per-directory gates

js
// jest.config.js
module.exports = {
  preset: 'ts-jest',
  collectCoverage: true,
  coverageProvider: 'v8',
  collectCoverageFrom: [
    'src/**/*.{ts,tsx}',
    '!src/**/*.d.ts',
    '!src/**/__generated__/**',
    '!src/**/*.stories.tsx',
    '!src/test-utils/**',
  ],
  coverageReporters: ['text', 'lcov', 'json-summary'],
  coverageThreshold: {
    global: {
      branches: 80,
      functions: 85,
      lines: 90,
      statements: 90,
    },
    // Money-handling code gets a stricter gate
    './src/lib/payments/': {
      branches: 95,
      lines: 98,
    },
  },
};
bash
npx jest --coverage --ci
# Exit code is 1 if any threshold is missed; CI fails automatically

2. nyc (Istanbul) for Mocha or plain Node scripts

json
{
  "all": true,
  "include": ["src/**/*.ts"],
  "exclude": ["**/*.spec.ts", "src/generated/**", "src/migrations/**"],
  "reporter": ["text", "html", "lcov"],
  "check-coverage": true,
  "branches": 80,
  "lines": 90,
  "functions": 85,
  "statements": 90
}

Save as .nycrc.json, then:

bash
npm install --save-dev nyc
npx nyc mocha 'test/**/*.spec.ts'
npx nyc report --reporter=text-summary

3. c8: native V8 coverage with zero instrumentation

c8 reads V8's built-in coverage, so it works with the Node test runner and needs no transpile-time instrumentation:

bash
npm install --save-dev c8
npx c8 --all --src src --reporter=text --reporter=lcov \
  --lines 90 --branches 80 --check-coverage \
  node --test test/

4. Vitest: built-in V8 coverage with thresholds

ts
// vitest.config.ts
import { defineConfig } from 'vitest/config';

export default defineConfig({
  test: {
    coverage: {
      provider: 'v8',
      all: true,
      include: ['src/**/*.ts'],
      exclude: ['src/generated/**', 'src/**/*.test.ts', '**/*.config.ts'],
      reporter: ['text', 'lcov', 'json-summary'],
      thresholds: {
        lines: 90,
        branches: 80,
        functions: 85,
        statements: 90,
        // Fail if coverage DROPS below auto-updated values
        autoUpdate: false,
      },
    },
  },
});
bash
npx vitest run --coverage

5. Branch versus line coverage, concretely

ts
// shipping.ts
export function shippingCost(country: string, total: number): number {
  if (country === 'US' && total > 50) return 0;
  return country === 'US' ? 5 : 15;
}

// shipping.test.ts -- this single test yields 100% LINE coverage
import { shippingCost } from './shipping';

it('ships free for large US orders', () => {
  expect(shippingCost('US', 100)).toBe(0);
});
// But branch coverage shows: total <= 50 untested, non-US untested,
// the $5 domestic path untested. Three real behaviors have no test.

The branch report (text reporter prints % Branch per file, the HTML report highlights yellow I/E markers) is how you find these.

6. Ignoring unreachable code the honest way

ts
// Istanbul-instrumented runners (nyc, babel-plugin-istanbul)
/* istanbul ignore next -- @preserve defensive guard, unreachable after zod validation */
if (typeof input !== 'string') throw new TypeError('input must be a string');

// V8-based runners (vitest --coverage.provider=v8, c8)
/* v8 ignore next 2 */
if (process.platform === 'win32') {
  pathSeparator = '\\';
}

Every ignore comment needs a reason suffix; an ignore without a justification is a coverage lie waiting to rot.

7. CI gate plus PR summary

yaml
# .github/workflows/test.yml (excerpt)
- name: Test with coverage gate
  run: npx vitest run --coverage

- name: Print coverage summary to job log
  if: always()
  run: |
    pct_lines=$(jq -r '.total.lines.pct' coverage/coverage-summary.json)
    pct_branches=$(jq -r '.total.branches.pct' coverage/coverage-summary.json)
    echo "### Coverage: ${pct_lines}% lines / ${pct_branches}% branches" >> "$GITHUB_STEP_SUMMARY"

- name: Upload lcov for review tooling
  uses: actions/upload-artifact@v4
  with:
    name: lcov-report
    path: coverage/lcov.info

Best Practices

  • Review the HTML report (coverage/index.html) when writing tests for legacy code; the red/yellow highlighting finds untested branches faster than reading source.
  • Track coverage trends per package in a monorepo rather than one blended global number that averages away problems.
  • Gate on json-summary totals for speed, keep lcov output for editors and review tools that show per-line coverage in diffs.
  • Prefer the V8 provider for TypeScript projects; Istanbul instrumentation of transpiled output can misattribute branches to source maps.
  • Delete dead code instead of ignoring it; an istanbul ignore on reachable code is technical debt with a receipt.
  • For bug fixes, check the coverage diff: the fixed lines must be covered by the new regression test.

Anti-Patterns

  • Chasing 100 percent: the last few points usually buy tests for getters and logging branches while real risk lives in untested integration seams.
  • Writing tests that execute code without asserting anything, purely to move the number. Mutation testing will expose these instantly.
  • Excluding files from coverage because they are "hard to test" - that is the highest-risk code in the repository.
  • A global threshold so low (40 percent) that it never fires; gates that cannot fail teach the team to ignore them.
  • Measuring coverage only on unit tests when most behavior is exercised by integration tests; merge reports (nyc merge, --coverage.reportsDirectory per suite plus lcov merge) before judging.
  • Letting coverage/ get committed; add it to .gitignore.

When to Trigger This Skill

  • The user asks "what is our test coverage", "add a coverage gate", "why is coverage dropping", or "enforce 80 percent coverage".
  • A PR adds --coverage, coverageThreshold, .nycrc, c8, or @vitest/coverage-v8 to the project.
  • CI needs a quality gate tied to lines/branches/functions, or thresholds need ratcheting after a coverage push.
  • Generated code (GraphQL codegen, protobuf, ORM migrations) is skewing the numbers and needs principled exclusion.
  • Pair it with mutation testing when the user suspects high coverage numbers but weak assertions.

Frequently asked questions

What does the Code Coverage Analysis AI skill do?

Measure and enforce test coverage with Istanbul/nyc, c8, Jest, and Vitest. Covers branch versus line coverage, per-directory thresholds, CI gates, and correctly excluding generated code from reports.

Why use Code Coverage Analysis on TypingMind?

Because you install it once and use it with any model. Code Coverage Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Code Coverage Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PramodDutta/qaskills/tree/main/seed-skills/code-coverage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Coverage Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Code Coverage Analysis?

As many as you like. As long as a model supports skills, you can use Code Coverage Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Code Coverage Analysis AI skill free?

Yes. It is published on GitHub by PramodDutta under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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