jest-coverage-analysis
Configures Jest's built-in coverage (Istanbul-instrumented `babel` provider or V8-native `v8` provider), wires the right `coverageReporters` for downstream consumption (`lcov` for SaaS / cross-tool, `cobertura` for Jenkins, `text-summary` for terminal, `html` for human review), authors per-file `coverageThreshold` rules that focus the gate on critical paths (vs the global-only foot-gun), and parses the per-file JSON output for PR-time deltas. Use when the project tests with Jest (or Vitest, which uses the same Istanbul/V8 provider) and the team needs PR-time coverage signal that's both local-runnable and CI-gateable.
Install with skills.sh (any agent)
npx skills add testland/qa --skill jest-coverage-analysisjest-coverage-analysis
Overview
Jest ships with built-in coverage. Per jest-config (opens in new window), on coverageProvider:
"Indicates which provider should be used to instrument code for coverage. Allowed values are
babel(default) orv8."
The babel provider runs the project through Istanbul-style instrumentation; v8 uses the Node V8 engine's native coverage hooks (faster, but with subtler edge cases around source maps).
Coverage output goes to coverageDirectory (default coverage/) in the formats listed in coverageReporters. The defaults are ["clover", "json", "lcov", "text"] (jest-config (opens in new window)) - lcov is the most useful for cross-tool consumption (see lcov-analysis).
When to use
If the project is multi-language (Jest + Java + Python), see coverage-diff-reporter for the cross-tool aggregation pattern; this skill is the Jest-specific piece.
Step 1 - Pick the provider
Per jest-config (opens in new window):
| Provider | Pros | Cons |
|---|---|---|
babel | Mature; Istanbul ecosystem; rich ignore comments. | Slower (instruments via Babel transform); may differ from production semantics. |
v8 | Faster (uses V8's native coverage); closer to runtime truth. | Source-map edge cases; some files may show partial coverage where Babel is clean. |
/** @type {import('jest').Config} */
module.exports = {
coverageProvider: 'v8', // or 'babel'
};Each provider has a different ignore-comment syntax (jest-config (opens in new window)):
Don't mix; switching providers requires updating ignore comments across the codebase.
Step 2 - Choose coverageReporters
Per jest-config (opens in new window), "Any istanbul reporter (opens in new window) can be used." The useful ones:
| Reporter | Output | Use for |
|---|---|---|
lcov | coverage/lcov.info + HTML in coverage/lcov-report/ | SaaS upload, cross-tool diffing. |
cobertura | coverage/cobertura-coverage.xml | Jenkins, Azure DevOps, GitLab pipelines. |
clover | coverage/clover.xml | Atlassian Bamboo (legacy). |
json | coverage/coverage-final.json | Programmatic post-processing (Step 5). |
json-summary | coverage/coverage-summary.json | Quick whole-repo number for dashboards. |
text-summary | Terminal output (compact) | CI log readability. |
text | Terminal output (per-file) | Local dev. |
html | coverage/lcov-report/index.html | Human review (drill-down per file). |
Pragmatic default for a CI + SaaS + local-dev setup:
coverageReporters: ['lcov', 'json', 'text-summary', 'html']lcov for the dashboard, json for programmatic post-processing, text-summary for the CI log, html for the human.
Step 3 - Per-file thresholds (the gate-correctness pattern)
Per jest-config (opens in new window), coverageThreshold accepts global, glob, or path-specific rules:
coverageThreshold: {
global: {
branches: 50,
functions: 50,
lines: 50,
statements: 50,
},
'./src/components/': {
branches: 40,
statements: 40,
},
'./src/reducers/**/*.js': {
statements: 90,
},
'./src/api/very-important-module.js': {
branches: 100,
functions: 100,
lines: 100,
statements: 100,
},
},The pattern is lower the global, raise the critical paths. A 50% global keeps refactors flowing; a 100% per-file rule on a payment-processing module ensures any drop is caught immediately.
"Jest will fail if thresholds aren't met." (jest-config (opens in new window))
"Negative numbers = maximum uncovered entities allowed."
The negative-number form is useful for legacy modules: statements: -10 allows up to 10 uncovered statements before failing. Lets the team ratchet down over time without setting an aspirational percentage.
Verify the gate fires: run npx jest --coverage with a critical-path file left below its coverageThreshold and confirm Jest exits non-zero with a coverage-threshold-not-met error. If it exits 0, check that collectCoverageFrom (Step 4) includes the file and that the coverageThreshold path key matches the file's path, then re-run.
Step 4 - Scope collectCoverageFrom
Per jest-config (opens in new window):
"An array of glob patterns indicating which files should have coverage collected, even if they have no tests."
collectCoverageFrom: [
'src/**/*.{js,jsx,ts,tsx}',
'!src/**/*.d.ts',
'!src/**/*.stories.{js,ts,tsx}',
'!src/index.js',
],Without this, coverage only counts files that a test imported. Files with no test at all disappear from the report - coverage looks artificially high. Always set collectCoverageFrom for an honest denominator.
Step 5 - Parse the JSON output
The json reporter writes coverage/coverage-final.json, keyed by absolute path, where s = per-statement hit counts, f = per-function, and b = per-branch arm. Count the non-zero entries for a per-file percentage:
import { readFileSync } from 'node:fs';
const data = JSON.parse(readFileSync('coverage/coverage-final.json', 'utf8'));
const pct = obj => { const v = Object.values(obj); return (v.filter(c => c > 0).length / v.length) * 100; };
for (const [path, file] of Object.entries(data)) {
console.log({ path, stmt: pct(file.s), fn: pct(file.f) });
}The full parser (branch-arm handling plus the coverage-summary.json shortcut for whole-repo numbers) is in references/parsing-and-anti-patterns.md.
Step 6 - Vitest equivalent
Vitest uses the same Istanbul / V8 stack with vitest --coverage:
// vitest.config.ts
import { defineConfig } from 'vitest/config';
export default defineConfig({
test: {
coverage: {
provider: 'v8',
reporter: ['text-summary', 'lcov', 'json', 'html'],
include: ['src/**/*.{ts,tsx}'],
thresholds: {
global: { branches: 50, functions: 50, lines: 50, statements: 50 },
'src/api/**/*.ts': { branches: 100, functions: 100, lines: 100, statements: 100 },
},
},
},
});Key naming differences vs Jest:
The output formats and PR-gating logic are identical - the downstream parser works against either.
Step 7 - CI shape
- name: Run tests with coverage
run: npx jest --coverage --coverageReporters=lcov,json,text-summary
- name: Show summary in CI log
run: cat coverage/coverage-summary.json
- name: Upload to dashboard
if: always()
uses: codecov/codecov-action@v4
with:
files: coverage/lcov.info
token: ${{ secrets.CODECOV_TOKEN }}
- name: Per-file delta vs main
if: github.event_name == 'pull_request'
run: node scripts/jest-pr-comment.mjs--coverage activates collectCoverage: true, --coverageReporters overrides config-side reporter selection.
Anti-patterns
The recurring coverage-gate foot-guns - collectCoverage: false in CI, skipping collectCoverageFrom (inflated denominator), global-only thresholds, mixing babel / v8 ignore comments, and a 100% global rule that gets coverage disabled after the first refactor - with the fix for each are catalogued in references/parsing-and-anti-patterns.md.
Limitations
References
Parsing coverage-final.json and coverage-gate anti-patterns
View source (opens in new window)Parsing coverage-final.json and coverage-gate anti-patterns
Companion detail for jest-coverage-analysis. The Jest / Vitest config in SKILL.md is the runnable core; this file holds the full JSON parser and the anti-pattern catalog.
The coverage-final.json shape
The json reporter writes coverage/coverage-final.json with a per-file structure keyed by absolute path:
{
"/abs/path/src/checkout/cart.ts": {
"path": "/abs/path/src/checkout/cart.ts",
"statementMap": { "0": { "start": {}, "end": {} } },
"fnMap": { },
"branchMap": { },
"s": { "0": 42, "1": 42, "2": 0 },
"f": { "0": 42, "1": 0 },
"b": { "0": [42, 0] }
}
}s = per-statement hit counts; f = per-function; b = per-branch arm.
Full per-file parser
// scripts/parse_jest_coverage.js
import { readFileSync } from 'node:fs';
const data = JSON.parse(readFileSync('coverage/coverage-final.json', 'utf8'));
for (const [absPath, file] of Object.entries(data)) {
const stmts = Object.values(file.s);
const stmtPct = (stmts.filter(c => c > 0).length / stmts.length) * 100;
const fns = Object.values(file.f);
const fnPct = (fns.filter(c => c > 0).length / fns.length) * 100;
// Branch coverage: each entry is an array of arm hit counts.
const branchEntries = Object.values(file.b);
const branchTotal = branchEntries.flat().length;
const branchHit = branchEntries.flat().filter(c => c > 0).length;
const brPct = branchTotal === 0 ? 100 : (branchHit / branchTotal) * 100;
console.log({ path: absPath, stmtPct, fnPct, brPct });
}The coverage-summary.json file (from the json-summary reporter) is the pre-aggregated version when per-statement detail isn't needed.
Anti-patterns
| Anti-pattern | Why it fails | Fix |
|---|---|---|
collectCoverage: false in CI | No coverage data emitted; downstream gate is empty. | --coverage flag in the test command (Step 7). |
Skipping collectCoverageFrom | Files with no test silently absent from denominator; coverage inflated. | Always set explicitly (Step 4). |
coverageThreshold.global only, no per-path rules | A new module under src/api/ joins at 0% coverage; global drops by 0.3pp; gate passes. | Per-path rules for critical modules (Step 3). |
Mixing babel and v8 ignore comments | One provider misses the ignore; coverage drops mysteriously. | Pick one; grep-replace if switching. |
Using coverage-final.json as the gate input | Per-statement detail is huge; gate scripts slow. | coverage-summary.json for whole-repo + lcov.info for per-line drilldown. |
coverageDirectory: '/tmp/...' outside the repo | CI artifact upload step misses it. | Keep in coverage/ (default). |
| Threshold set at 100% on a global rule | First refactor fails the build; team disables coverage entirely. | Set globals at the maintainable floor, not aspirational ceiling. |
Related skills
allure-reports
Configures Allure Report (test-runner adapter install, `allure-results` directory wiring, `categories.json` for failure classification, `history-trend.json` retention via the copy-history-between-runs pattern), runs the Allure CLI to convert `allure-results` to a static HTML site, and uploads the report as a CI artifact. Use when the team needs richer test reporting than JUnit XML - step-level attachments, per-test history, retry tracking, and severity / epic / feature labeling across framework-agnostic adapters (pytest, Jest, JUnit, TestNG, NUnit, Mocha). As a rich static HTML report generator, it is the open-source alternative to extentreports (JVM/.NET per-test HTML narrative); for hosted cross-run flakiness analytics rather than a static per-run report use currents-integration.
cobertura-analysis
Parses Cobertura XML coverage reports (the JVM-canonical format originally from the cobertura-cobertura tool, also emitted by JaCoCo `--coverage-xml`, coverage.py `--xml`, Istanbul / Jest `cobertura` reporter, gocover-cobertura, and dotnet's `coverlet`). Walks the coverage-04 DTD structure (coverage → packages → classes → methods → lines + conditions), computes per-file deltas, and emits PR-time gating verdicts. Use when the existing CI emits Cobertura XML - typical for JVM-heavy stacks and tools that ship Cobertura as a default reporter.
coverage-diff-reporter
Builds a per-PR coverage delta report from any pair of LCOV / Cobertura / JSON coverage outputs (current run + baseline from the merge target) - emits a per-file table with line% / branch% deltas, called-out new files, hidden drops (overall +0.1pp but one file -8pp), and a single-line PR-comment summary. Use when the team has coverage in CI but needs human-readable PR feedback that points at the specific file the reviewer should focus on, not just an aggregate number.
coverage-py-analysis
Configures coverage.py for Python projects - wires `coverage run` (replacing `python` for instrumentation), enables branch coverage via the `--branch` flag or `branch = True` config, manages the `.coverage` data file (single-process and `combine` for parallel pytest-xdist runs), authors `.coveragerc` with `source` / `omit` / `fail_under`, and emits the format the downstream tool needs (`coverage report` for terminal, `coverage xml` for Cobertura, `coverage html` for human review, `coverage lcov` for SaaS, `coverage json` for programmatic post-processing). Use for any Python test stack (pytest, unittest, nose) that needs PR-time coverage signal.
currents-integration
Wires Currents.dev cross-run test analytics into a Playwright suite: installs `@currents/playwright`, authors `currents.config.ts` (env-sourced `recordKey` + `projectId`), registers `currentsReporter()`, enables trace/video/screenshot artifacts, and runs via `npx pwc` so per-test traces stream to the Currents dashboard with over-time flakiness, slowest-test, and pass-rate trends. Use when a Playwright suite needs hosted cross-run suite-health analytics; for a static per-run report use extentreports or allure-reports, and to sync results into Jira test management use zephyr-integration or xray-integration.
extentreports
Configures ExtentReports v5 for a JVM (or .NET via `extentreports-dotnet`) test run: wires `ExtentSparkReporter`, `attachReporter`, `createTest`, the `info`/`pass`/`warning`/`skip`/`fail` log chain, screenshots via `MediaEntityBuilder`, hierarchical `createNode` parent/child tests, and category/author/device labels, emitting a static HTML report alongside JUnit XML for CI artifact upload. Use when a suite on the Aventstack ExtentReports stack wants a richer per-test HTML narrative than JUnit XML gives; for code-coverage reporting use jacoco-analysis, and for hosted cross-run flakiness analytics use currents-integration.
jacoco-analysis
Configures JaCoCo for JVM projects (Java / Kotlin / Scala / Groovy) - wires the runtime agent via `jacoco-maven-plugin` `prepare-agent`, generates per-build reports (HTML / XML / CSV) via the `report` goal, gates the build via the `check` goal with element / limit / minimum rules, parses the six native counters (instructions, branches, lines, methods, classes, cyclomatic complexity), and converts JaCoCo XML to LCOV / Cobertura when downstream tools need a different format. Use when the JVM build is Maven / Gradle and the team wants the canonical JVM coverage tool - or to convert JaCoCo output for cross-language coverage aggregation.
junit-xml-analysis
Parses JUnit-format XML reports (the de-facto interchange format every CI ingests - Jenkins, GitHub Actions, GitLab, Buildkite, CircleCI) into structured, machine-readable per-suite and per-case metrics tables (passed / failed / errored / skipped, time, classname, message, stack), groups failures by classname for trend analysis, and distinguishes "new failures vs flakes" by cross-referencing the `flakyFailure` and `rerunFailure` rerun elements. Use when the downstream consumer is a dashboard, script, or aggregator - not when the goal is a human-readable prose summary (use test-run-summary-author for that). Single-run, in-XML aggregation only; for cross-run cross-environment roll-ups, use a cross-run test-suite aggregator.
lcov-analysis
Parses LCOV `.info` text files (the de-facto coverage interchange format produced by gcov, llvm-cov, Coverage.py via `py2lcov`, JaCoCo via `xml2lcov`, Devel::Cover, Jest via `lcov` reporter, NYC, and most others). Extracts per-file line / function / branch metrics from the canonical record keywords (TN/SF/FN/FNDA/FNF/FNH/BRDA/BRF/BRH/DA/LH/LF), computes the diff vs a baseline, and emits per-file gating verdicts. Use for PR coverage gates that don't depend on a specific language runtime.
test-coverage-targeter
Builds a "what to test next" recommendation by combining a coverage report (LCOV / Cobertura / coverage.py JSON / Jest JSON / JaCoCo XML) with the PR's `git diff`, ranking uncovered branches by risk × cost - risk weighted by McCabe cyclomatic complexity and code-churn frequency, cost weighted by the unit-test pyramid layer (unit tests cheaper than integration than E2E). Emits a prioritized list with concrete file:line targets and the test layer recommended for each. Use when a team has the budget to write 5 - 10 new tests and needs help picking which uncovered code to target first instead of blindly chasing 100% coverage.
test-run-summary-author
Build-an-X workflow that turns a structured test-run artifact (JUnit XML, Allure JSON, TestRail / Xray / Zephyr export) plus optional release context (version, build URL, deploy target) into a narrative markdown summary for release notes, an exec status update, or a stand-up Slack post. Distinct from the per-framework parsers junit-xml-analysis / allure-reports / coverage-diff-reporter, which emit structured tabular reports: this skill takes the same data and writes the human-readable narrative. Use when a manager needs a draft release note or stand-up summary from a single run; for cross-run trend analytics use currents-integration.
testrail-integration
Syncs test runs / results / cases between an automated test suite and TestRail (Gurock / Idera) - opens a Test Run for the build (`add_run`), batches per-case results back via `add_results_for_cases` (preferred over per-test `add_result_for_case` - N+1 API calls vs 1), maps the test framework's pass/fail/skip to TestRail status IDs, and attaches build URL + version + elapsed time. Use when the team's test management is standalone TestRail (not a Jira app) and automated suites must update it without a human copy-paste step; when the TCM is instead a Jira app use xray-integration (Xray) or zephyr-integration (Zephyr Scale), and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.
xray-integration
Imports CI test results into Xray for Jira - authenticates via the `client_id` + `client_secret` → JWT exchange (Cloud) or PAT / Basic (Server), posts to the format-specific `/api/v2/import/execution/*` endpoint (`/junit` for JUnit XML, `/cucumber` for Cucumber JSON, `/nunit` / `/testng` / `/robot` for the others), and maps automated results to existing Xray Test issues via the `xray-junit-extensions` `@XrayTest(key="...")` annotation. Use when the team uses the Xray Jira app to manage Test, Test Set, and Test Execution issue types and CI must keep those execution issues in sync; for the other Jira TCM app use zephyr-integration (Zephyr Scale), for standalone non-Jira TestRail use testrail-integration, and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.
zephyr-integration
Syncs automated test results to Zephyr Scale for Jira (formerly TM4J / SmartBear / Adaptavist): picks the product variant (Scale Cloud / Squad / Enterprise), authenticates with a long-lived API token as a Bearer header, opens a Test Cycle per build, posts executions via `POST /testexecutions` (or bulk JUnit via `/automations/executions/junit`), and maps test methods to Zephyr Test Cases via `@TestCaseKey`-style annotations. Use when the team's Jira test management is Zephyr Scale; for the Xray Jira app use xray-integration, for standalone TestRail use testrail-integration, and for over-time flakiness analytics rather than TCM sync use currents-integration.