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Skill Audit

Checked
anysiteio·vlatest·agents·MIT

Analyzes website content & structure to identify SEO issues, accessibility problems, and potential improvements.

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 anysiteio/agent-skills --skill skill-audit -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

anysiteio

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 anysiteio/agent-skills at b8e48c6b4c.

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

Commit
b8e48c6b4c
Manifest
skills/skill-audit/SKILL.md
Scanned
2 files, 537 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-audit skill provides a mechanism to assess and evaluate the performance of AI agents. It allows users to review agent actions, identify potential issues, and ultimately improve their effectiveness. The skill facilitates understanding how an agent is operating and ensures alignment with intended goals.

When to use it

  • Troubleshooting unexpected behavior: If an agent isn't performing as expected, use this skill to examine its decision-making process.
  • Evaluating new agents: Before deploying a new AI agent in production, audit its performance on representative tasks.
  • Identifying areas for improvement: Regularly review agent actions to pinpoint opportunities for optimization and refinement of prompts or configurations.
  • Ensuring compliance: Verify that the agent's actions adhere to established guidelines and policies.

Key capabilities

  • Action Review: Examine individual actions taken by the AI agent.
  • Performance Assessment: Evaluate the effectiveness of each action based on defined criteria.
  • Issue Identification: Highlight potential problems or areas for improvement in the agent’s workflow.

Example prompts

  • "Audit the last 5 actions of the customer service agent."
  • "Show me a detailed review of the agent's decision to escalate this ticket."
  • "Analyze the agent's performance on task 'Order Processing'."

Tips & gotchas

The effectiveness of the audit depends heavily on clearly defined success metrics and evaluation criteria. Without these, identifying meaningful improvements can be difficult.