Agent Native

test-coverage-improver

This skill measures Python SDK test coverage using coverage artifacts and identifies gaps in caller-visible behavior testing.

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
125efa0pinned Oct 9, 2026
Context cost
about 640 tokenswhen the skill loads
GitHub stars
29,916on openai/openai-agents-python
Scripts
None found

What it does

“Measure Python 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

This skill measures Python SDK test coverage using coverage artifacts and identifies gaps in caller-visible behavior testing. It implements tests for uncovered code paths and runs final coverage verification with make coverage, distinguishing between assessment-only reports and full implementation with review.

When to use it

  • Measuring test coverage metrics or investigating regressions in coverage
  • Finding gaps in tests for public behavior and error handling paths
  • Implementing targeted tests based on coverage evidence and then verifying
  • Auditing coverage across scoped sections of a Python SDK

When not to

  • User already specifies exact behaviors to test without coverage measurement needed
  • Routine test additions unrelated to coverage metrics or identified gaps
  • Live API calls or expanded sandbox access is required

Install

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

skills CLI

npx skills add openai/openai-agents-python --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-python test-coverage-improver@125efa029b4bfd84238bd2c4fd69c3406f802663

Installs the commit we checked (125efa0).

Copy by hand

Download the folder at 125efa0 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 125efa0

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 125efa029b4bfd84238bd2c4fd69c3406f802663:
https://github.com/openai/openai-agents-python/tree/125efa029b4bfd84238bd2c4fd69c3406f802663/.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-openai-agents-python

SKILL.md at the pin

---
name: test-coverage-improver
description: Measure Python 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 `make 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.xml`, and any recorded command/environment evidence. Reuse them only when they represent the relevant source and test state. If missing or stale, run `make 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 `uv run coverage report -m` or `coverage.xml` to locate gaps.
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 `$implementation-final-review`. Keep iterative verification focused; do not repeatedly run full coverage while review is incomplete.
5. After clean review, run `make coverage` for the final measurement and `$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-python at 125efa0, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 125efa0

Files

2 files, 3.0 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 125efa0
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