OpenAI Agents SDK is a Python framework for building workflows in which multiple AI agents use tools, delegate tasks, follow safety checks, and involve people when needed. Developers use it to create and monitor agent, sandbox, realtime, and voice applications.
Borrowing it
Nothing to install: this file belongs to openai/openai-agents-python. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/openai/openai-agents-python/main/.agents/skills/code-change-verification/SKILL.mdgit clone --depth 1 https://github.com/openai/openai-agents-pythonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openai/openai-agents-python/code-change-verification)<a href="https://agentmods.dev/skills/openai/openai-agents-python/code-change-verification"><img src="https://agentmods.dev/badge/skills/openai/openai-agents-python/code-change-verification/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openai/openai-agents-python/code-change-verification"><img src="https://agentmods.dev/badge/skills/openai/openai-agents-python/code-change-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.01112 |
| Opus 5.5 | $0.00010 | $0.00445 |
| Sonnet 5.5 | $0.00005 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
code-change-verification scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · -5 tokens per session 9f959864d284
- 1mo ago First seen · 61 lines · 30 tokens per session scan A c6b34b923571
code-change-verification is a skill published in the GitHub repository openai/openai-agents-python (30,339 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 1,112 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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