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Agent Native Audit

Checked
ratacat·vlatest·agents

Automatically generates detailed, structured audit trails of agent actions and decisions for transparency and debugging.

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 ratacat/claude-skills --skill agent-native-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

ratacat

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 ratacat/claude-skills at d4b471d05d.

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

Commit
d4b471d05d
Manifest
skills/agent-native-audit/SKILL.md
Scanned
1 file, 260 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 native audits, likely referring to examining and reporting on their own internal state or processes. It facilitates self-assessment and debugging within an agent's workflow. The purpose is to improve agent reliability and performance through introspection.

When to use it

  • Debugging Agent Behavior: Identify why an agent isn’t completing tasks as expected by inspecting its steps.
  • Performance Optimization: Analyze the efficiency of an agent's actions to pinpoint bottlenecks or areas for improvement.
  • Monitoring Internal State: Track key metrics within an agent's execution to ensure it remains healthy and functioning correctly.
  • Root Cause Analysis: Investigate unexpected errors by reviewing the agent’s decision-making process leading up to the issue.

Key capabilities

  • Native auditing
  • Self-assessment
  • Debugging
  • Performance analysis

Example prompts

  • "Run a native audit of my last task execution."
  • "Show me a performance report for the agent's decision-making process in the previous hour."
  • "Audit the steps taken to complete [specific task]."

Tips & gotchas

The effectiveness of this skill depends on the agent’s internal logging and monitoring capabilities. Ensure your agent is configured to record sufficient data for meaningful audits.