code-change-verification

✓ Official★ 27,600

by openai · part of openai/openai-agents-python

Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

🔥🔥✓ VerifiedFreeQuick setup

#git

🔒 Repo-maintenance skill. It exists to help maintain openai/openai-agents-python itself — it's only useful if you contribute code to that project.

Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

name: code-change-verification description: Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

Code Change Verification

Overview

Ensure work is only marked complete after formatting, linting, type checking, and tests pass. Use this skill when changes affect runtime code, tests, or build/test configuration. You can skip it for docs-only or repository metadata unless a user asks for the full stack.

Manual workflow

For a fresh checkout, or if dependencies are not installed or have changed, run make sync first to install dev requirements via uv.
Run from the repository root with make format first, then make lint, make typecheck, and make tests.
Do not skip steps; stop and fix issues immediately when a command fails.
If you run the steps manually, you may parallelize make lint, make typecheck, and make tests after make format completes, but you must stop the remaining steps as soon as one fails.
Re-run the full stack after applying fixes so the commands execute in the required order.

Resources

scripts/run.sh

Executes make format first, then runs make lint, make typecheck, and make tests in parallel with fail-fast semantics from the repository root. It also emits periodic heartbeat updates while the parallel steps are still running. Prefer this entry point to preserve the required ordering while reducing total runtime.

scripts/run.ps1

Windows-friendly wrapper that runs the same sequence with make format first and the remaining steps in parallel with fail-fast semantics, plus periodic heartbeat updates while work is still running. Use from PowerShell with execution policy bypass if required by your environment.

Copy & paste — that's it

npx skills add https://github.com/openai/openai-agents-python --skill code-change-verification

Run this in your project — your agent picks the skill up automatically.

Quick start

Keep this skill at ./.agents/skills/code-change-verification so it loads automatically for the repository.
macOS/Linux: bash .agents/skills/code-change-verification/scripts/run.sh.
Windows: powershell -ExecutionPolicy Bypass -File .agents/skills/code-change-verification/scripts/run.ps1.
The scripts run make format first, then run make lint, make typecheck, and make tests in parallel with fail-fast semantics.
While the parallel steps are still running, the scripts emit periodic heartbeat updates so you can tell that work is still in progress.
If any command fails, fix the issue, rerun the script, and report the failing output.
Confirm completion only when all commands succeed with no remaining issues.

Environment setup

The verification scripts assume repository dependencies are already installed. Do not run make sync as part of every verification pass; use it for a fresh checkout, after dependency files change, or when dependency resolution fails before the checks start.

On Linux, some Python packages with native extensions may require system packages such as libffi-dev, Python development headers, or build tools. If verification cannot start because one of these packages is missing, treat it as a local environment setup issue. Install the missing dependency when possible, or report the failing command and missing dependency in the PR test plan before rerunning verification in a prepared environment.