Skip to content
TrustedSkillsbeta
Back to all skills

Agentaudit Skill

Listed
agentaudit-dev·vlatest·security

AgentAudit Skill analyzes conversations for potential issues like bias, safety concerns, and compliance, ensuring responsible AI development.

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 agentaudit-dev/agentaudit-skill --skill agentaudit-skill -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

agentaudit-dev

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 failed 3 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: agentaudit.dev, www.agentaudit.dev.

    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.

    Hosts contacted

    github.comsource hostagentaudit.devundeclaredraw.githubusercontent.comsource hostwww.agentaudit.devundeclaredapi.github.comsource hostregistry.npmjs.orgpackage registrywww.npmjs.compackage registrypypi.orgpackage registryapi.anthropic.commodel providerapi.openai.commodel providergitlab.comsource host

    What it found (3 of 27)

    • .claude-plugin/marketplace.json:36contacts agentaudit.dev
      "registry_url": "https://agentaudit.dev",
    • .claude-plugin/marketplace.json:37contacts agentaudit.dev
      "api_base": "https://agentaudit.dev/api",
    • .claude-plugin/marketplace.json:38contacts agentaudit.dev
      "leaderboard_url": "https://agentaudit.dev/leaderboard"

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • README.md:570SSH private keys or config
      - CREDENTIAL_THEFT (CRITICAL) - Reading ~/.ssh in setup.js:88

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 6 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found (3 of 6)

    • .claude-plugin/plugin.json:40remote script piped into a shell
      "one_line_install": "curl -sSL https://raw.githubusercontent.com/agentaudit-dev/agentaudit-skill/main/install.sh | bash",
    • README.md:64remote script piped into a shell
      curl -sSL https://raw.githubusercontent.com/agentaudit-dev/agentaudit-skill/main/install.sh | bash
    • README.md:71remote script piped into a shell
      curl -sSL https://raw.githubusercontent.com/agentaudit-dev/agentaudit-skill/main/install.sh | bash -s -- --platform claude --agent my-agent

  • 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 obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • Pinned to a commit: passed

    Scanned agentaudit-dev/agentaudit-skill at f4c9e0a0bf.

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

Commit
f4c9e0a0bf
Manifest
SKILL.md
Scanned
33 files, 8,224 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 provides auditing capabilities for AI agents. It can analyze agent behavior, identify potential issues or biases in responses, and generate reports on these findings. The goal is to improve the reliability and safety of deployed AI agents through continuous monitoring and assessment.

When to use it

  • Post-Deployment Monitoring: Regularly audit an agent after deployment to ensure its performance remains consistent and aligns with expected behavior.
  • Bias Detection: Identify potential biases in an agent's responses related to sensitive topics like gender, race, or religion.
  • Security Vulnerability Assessment: Evaluate the agent’s susceptibility to prompt injection attacks or other security risks.
  • Compliance Checks: Verify that the agent adheres to specific regulatory requirements or internal policies regarding data handling and output generation.

Key capabilities

  • Behavior Analysis
  • Bias Identification
  • Report Generation
  • Security Assessment

Example prompts

  • "Audit this AI agent's responses for potential biases."
  • "Generate a report on the security vulnerabilities of this agent."
  • "Analyze this agent’s behavior over the last week and identify any anomalies."

Tips & gotchas

The effectiveness of the audit depends heavily on the quality and diversity of test prompts provided. Ensure you cover a wide range of scenarios to get a comprehensive assessment.