Agent Native

test-coverage-improver

Identifies and addresses gaps in JavaScript SDK test coverage using coverage artifacts and metrics.

by OpenAIOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (openai)

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
MIT (permissive)
Pin
05241c7pinned Oct 9, 2026
Context cost
about 680 tokenswhen the skill loads
GitHub stars
3,899on openai/openai-agents-js
Scripts
None found

What it does

“Measure JS SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.”
The author's description, from SKILL.md

Generated summary from the skill's own text

Identifies and addresses gaps in JavaScript SDK test coverage using coverage artifacts and metrics. The agent inspects coverage reports, implements targeted tests for uncovered caller-visible behavior, and runs verification to measure coverage improvements.

When to use it

  • Coverage audits to find untested public behavior and error paths
  • Addressing coverage metric regressions from code changes
  • Validating test gaps identified in coverage reports
  • Measuring coverage before and after test implementation

When not to

  • Adding routine tests without coverage measurement needs
  • Live API testing or broader sandbox access requests
  • When only coverage percentages matter, not actual behavior gaps

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add openai/openai-agents-js --skill test-coverage-improver

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install openai/openai-agents-js test-coverage-improver@05241c7aa3d5629acc7407dd8ee1105637fe0369

Installs the commit we checked (05241c7).

Copy by hand

Download the folder at 05241c7 and put it in .claude/skills/test-coverage-improver for Claude Code and in .agents/skills/test-coverage-improver for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 05241c7

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "test-coverage-improver" by OpenAI.

Source, pinned to commit 05241c7aa3d5629acc7407dd8ee1105637fe0369:
https://github.com/openai/openai-agents-js/tree/05241c7aa3d5629acc7407dd8ee1105637fe0369/.agents/skills/test-coverage-improver

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/test-coverage-improver/ for Claude Code and .agents/skills/test-coverage-improver/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/openai/test-coverage-improver

SKILL.md at the pin

---
name: test-coverage-improver
description: Measure JS SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.
---

# Test Coverage Improver

Use current coverage evidence to identify missing caller-visible behavior tests. Select this workflow for coverage measurement, coverage-metric regressions, or finding gaps from coverage artifacts. When the user already specifies the behaviors to test, use the ordinary implementation/review workflow without coverage measurement unless measurement is also requested. Adding tests alone does not trigger this skill or its final `pnpm test:coverage` step.

## Scope and authorization

For assessment or proposal-only requests, report gaps and suggested tests without editing. When the user requests test improvements or has approved a plan, implement the scoped tests and complete review and verification without asking again. Ask only when a new contract decision, expanded scope, or additional authority is needed. Coverage work never authorizes live API calls or broader sandbox access.

## Workflow

1. Inspect current `coverage/coverage-summary.json` or `coverage/coverage-final.json`, `coverage/lcov.info`, and any recorded command/environment evidence. Reuse them only when they represent the relevant source and test state. If missing or stale, run `pnpm test:coverage` under the repository's verification sandbox and credential policy; this initial measurement precedes implementation review. Respect host-capacity guidance before broad measurement.
2. Identify uncovered behavior within the requested scope. Prioritize public behavior and meaningful error, cancellation, and lifecycle paths over percentage-only targets. Use the JSON report, `coverage/lcov.info`, or `coverage/lcov-report/index.html` to locate gaps. Place tests under the relevant `packages/<pkg>/test/` directory.
3. For an assessment, report evidence and proposed scenarios. For authorized implementation, choose tests with independent expected results at the highest controllable caller boundary. Do not add tests that merely reproduce helper logic or enumerate unsupported permutations.
4. Implement tests, run affected checks, and complete `$implementation-final-review`. Keep iterative verification focused; do not repeatedly run full coverage while review is incomplete.
5. After clean review, run `pnpm test:coverage` for the final measurement and `$code-change-verification` for the required SDK gates. These have different purposes; reuse an already valid final measurement rather than repeating it. Report coverage changes, verified behaviors, and material gaps that remain.

## Reporting

State the scope and age of coverage evidence, the behavior each new test protects, validation results, and unresolved gaps. Keep comments and code in English. Do not treat coverage percentages alone as proof of correctness.

From openai/openai-agents-js at 05241c7, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 05241c7

Files

2 files, 3.2 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 05241c7
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