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Skill Vetter

Checked
useai-pro·vlatest·agents·MIT

Skill Vetter analyzes your AI agent’s outputs to identify potential issues like hallucinations or biases, ensuring more reliable and trustworthy responses.

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 useai-pro/openclaw-skills-security --skill skill-vetter -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

useai-pro

Taken from the source listing. We haven't verified who controls this account.

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 useai-pro/openclaw-skills-security at 4645f2d047.

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

Commit
4645f2d047
Manifest
skills/skill-vetter/SKILL.md
Scanned
1 file, 136 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

The skill-vetter tool evaluates and verifies the quality, safety, and reliability of AI agent skills before they are deployed or used. It checks for potential vulnerabilities, ensures compliance with best practices, and confirms that the skill functions as intended.

When to use it

  • Before deploying a new AI agent skill in production to ensure it meets security standards
  • When reviewing third-party skills from external repositories or marketplaces
  • During development to catch issues early in the testing phase

Key capabilities

  • Security vulnerability scanning
  • Compliance verification with industry standards
  • Functional correctness checks

Example prompts

  • "Analyze this AI agent skill for potential security risks."
  • "Verify if this skill complies with data privacy regulations."
  • "Check whether this skill performs its intended function correctly."

Tips & gotchas

  • Ensure the tool has access to up-to-date vulnerability databases for accurate results.
  • Some advanced checks may require additional configuration or integration with external systems.