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Final Release Review

Official
openai·vlatest·ai-ml·MIT

Official openai skill covering OpenAI, code review for building AI and machine learning applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openai/openai-agents-js --skill final-release-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openai/openai-agents-js at fdaf0a66ca.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fdaf0a66ca
Manifest
.agents/skills/final-release-review/SKILL.md
Scanned
4 files, 395 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to perform comprehensive reviews of OpenAI's latest model releases, analyzing updates in capabilities, safety protocols, and performance metrics. It helps developers integrate fresh insights directly into their agent workflows to ensure alignment with current best practices.

When to use it

  • Validating that an agent's logic remains compatible after a major model update.
  • Auditing new safety guardrails introduced in the final release before deployment.
  • Comparing performance benchmarks of the latest models against previous versions for optimization decisions.

Key capabilities

  • Automated analysis of official OpenAI release notes and documentation.
  • Identification of breaking changes or deprecated features in recent updates.
  • Extraction of specific capability improvements relevant to agent tasks.

Example prompts

  • "Review the final release notes for the latest GPT model and summarize key changes affecting conversational agents."
  • "Analyze the safety guidelines introduced in this release and suggest how my customer support agent should adapt its tone."
  • "Compare the performance capabilities of the previous version versus the final release to determine if I need to retrain my model."

Tips & gotchas

Ensure you have access to the official OpenAI documentation or API endpoints, as this skill relies on external data sources for accurate review details. Always verify critical safety updates manually before deploying agents in production environments.