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Code Change Verification

Official
openai·vlatest·backend·MIT

This skill automatically verifies code changes for potential errors and inconsistencies, ensuring higher quality and faster development cycles.

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-python --skill code-change-verification -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-python at e6c680672c.

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

Commit
e6c680672c
Manifest
.agents/skills/code-change-verification/SKILL.md
Scanned
4 files, 357 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 automatically verify that code changes meet specific requirements before they are applied. It acts as a gatekeeper, ensuring modifications align with defined rules or constraints without manual intervention.

When to use it

  • Enforcing strict coding standards in automated deployment pipelines.
  • Validating that generated code adheres to security policies or licensing restrictions.
  • Ensuring refactored logic maintains specific architectural patterns.
  • Preventing unintended side effects when updating complex legacy systems.

Key capabilities

  • Automated verification of code modifications against defined criteria.
  • Integration within AI agent workflows for pre-commit or pre-deployment checks.
  • Support for openai-agents-python environments to streamline development safety.

Example prompts

  • "Verify that the new authentication module follows our zero-trust security guidelines before merging."
  • "Run a code-change verification check on this refactored database query to ensure no data loss occurs."
  • "Validate that the updated API endpoints maintain backward compatibility with existing client versions."

Tips & gotchas

Ensure your agent has clear, unambiguous rules or constraints defined for the verification process; vague instructions may lead to false negatives. This skill is designed specifically for Python-based AI agents using the openai-agents-python library, so cross-platform compatibility should be considered if not native.