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test-coverage-improver

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(2)

  • SKILL.md2.8 KB
  • agents/openai.yaml264 B

SKILL.md(원문)

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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.

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같은 저장소의 스킬

Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

Run the required final install, build, type, lint, test, and format checks after eligible SDK changes pass review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

Fix the tiny credit-note formatting bug and rerun the exact targeted test command.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

Analyze CSV files in /mnt/data and return concise numeric summaries.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

docs-sync

무료

Audit or update authored English SDK documentation within a requested topic or diff using implementation evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

Analyze logs and source from a completed repository example run. Never execute or control examples.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

openai/openai-agents-js3.9천2026년 10월 16일 업데이트

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