
code-change-verification
Run the required final formatting, lint, type, and test checks after eligible SDK changes pass review.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/openai/openai-agents-python --skill code-change-verification- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads code-change-verification automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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. This is a post-review final gate: when $implementation-final-review applies, do not invoke the broad stack until its clean-review condition applies to the stable task diff.
Quick start
- Keep this skill at
./.agents/skills/code-change-verificationso it loads automatically for the repository. - Codex on macOS/Linux:
/usr/bin/env -u OPENAI_API_KEY OPENAI_AGENTS_TEST_IN_CODEX_SANDBOX=1 UV_DEFAULT_INDEX=https://pypi.org/simple bash .agents/skills/code-change-verification/scripts/run.sh. - Other macOS/Linux environments:
env UV_DEFAULT_INDEX=https://pypi.org/simple bash .agents/skills/code-change-verification/scripts/run.sh. - Windows:
powershell -ExecutionPolicy Bypass -File .agents/skills/code-change-verification/scripts/run.ps1. - On macOS/Linux, the script runs
make format,make lint,make typecheck, andmake testssequentially and stops at the first failure. Parallelism inside each Make target, including pytest workers, is unchanged. - The Bash script streams each command's output directly. The Windows wrapper retains parallel lint, typecheck, and test steps with periodic heartbeat updates.
- 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.
Start condition and host capacity
- During iterative review, use only focused tests and a narrowly targeted static check when the changed typing boundary requires one. Defer repository-wide
make typecheckand the rest of this complete stack until review is clean. - Immediately before starting the complete stack, use available read-only task or process evidence to check whether another repository-wide test, typecheck, build, examples runner, or integration command is already active on the same host.
- When concrete contention is visible, continue useful non-heavy work such as review, remediation, evidence preparation, or focused checks, then check again later. Do not create or wait on a repository lock, host-wide mutex, or sentinel file.
- Start automatically once review is clean, the diff is stable, and observable host capacity is available. Do not require a user-triggered
finalizemessage. If host telemetry is unavailable, do not block solely because capacity cannot be measured.
Codex execution policy
Repository verification and all child processes must remain in the normal Codex workspace sandbox. Never request elevated sandbox permissions for the verification wrapper, and never retry the wrapper with broader host access after a failure.
On macOS, tests marked requires_native_macos_sandbox need to start their own sandbox-exec process. The Codex command sets OPENAI_AGENTS_TEST_IN_CODEX_SANDBOX=1, which skips only that marker before nested sandbox creation. All other tests remain enabled. Ordinary local and CI runs do not set this variable and therefore keep the marked tests enabled.
The marked tests run separately on a disposable GitHub-hosted macOS runner. If that trusted runner is unavailable, report the missing native-macOS coverage; do not compensate by weakening the Codex sandbox boundary.
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.
Manual workflow
- For a fresh checkout, or if dependencies are not installed or have changed, run
make syncfirst to install dev requirements viauv. - Run from the repository root with
make formatfirst, thenmake lint,make typecheck, andmake tests. - Do not skip steps; stop and fix issues immediately when a command fails.
- Run the manual steps sequentially and stop at the first failure. Keep the parallelism provided by each Make target.
- Re-run the full stack after applying fixes so the commands execute in the required order.
Resources
scripts/run.sh
- Runs
make format,make lint,make typecheck, andmake testssequentially from the repository root. It streams output, preserves the first failure or cancellation status, and cleans up the active step's process group before continuing or exiting.
scripts/run.ps1
- Windows-friendly wrapper that runs the same sequence with
make formatfirst 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.
FAQ
What does the code-change-verification skill do?
Run the required final formatting, lint, type, and test checks after eligible SDK changes pass review.
How do I install code-change-verification?
Run npx skills add https://github.com/openai/openai-agents-python --skill code-change-verification in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/code-change-verification/ (personal) or .claude/skills/code-change-verification/ (project).
Which AI agents can use code-change-verification?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is code-change-verification safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains code-change-verification?
It is published by openai in openai/openai-agents-python, and it is an official skill from the maker of the technology it covers. It has 196 recorded installs.
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