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Skill Auditor

Checked
montimage·vlatest·agents·Apache-2.0

The Skill Auditor analyzes your AI agent’s interactions to identify potential issues and suggest improvements for better performance & user experience.

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 montimage/skills --skill skill-auditor -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

montimage

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 montimage/skills at facf8ce6e9.

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

Commit
facf8ce6e9
Manifest
skills/skill-auditor/SKILL.md
Scanned
9 files, 840 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 montimage-skill-auditor skill provides a mechanism for evaluating and assessing AI agent skills. It allows users to examine installed skills, understand their functionality, and potentially identify areas for improvement or modification. The tool facilitates a deeper understanding of the capabilities embedded within an AI agent's skillset.

When to use it

  • Debugging Agent Behavior: If your AI agent is exhibiting unexpected behavior, use this skill to inspect its loaded skills and pinpoint potential conflicts or errors.
  • Skill Selection & Comparison: When choosing between multiple skills for a specific task, utilize the auditor to compare their features and performance characteristics.
  • Custom Skill Development: Developers can leverage the auditing capabilities to test and refine newly created AI agent skills before deployment.
  • Security Review: Assess installed skills for potential vulnerabilities or unwanted functionality.

Key capabilities

  • Skill Inspection: Provides detailed information about installed skills.
  • Functionality Analysis: Allows examination of a skill's intended purpose and behavior.
  • Performance Evaluation (implied): Enables assessment of skill effectiveness.

Example prompts

  • "Audit the currently loaded skills."
  • "Show me details for the 'image-generation' skill."
  • "What are the potential risks associated with this skill?"

Tips & gotchas

The auditor’s usefulness is dependent on the clarity and documentation provided by individual skill developers. Without proper metadata, the audit may be limited in scope.