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Ai Safety Auditor

Checked
jmsktm·vlatest·ai-ml

Analyzes AI systems for potential safety risks, biases, and ethical concerns using jmsktm's proprietary methodology.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it AI Safety Auditor, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add jmsktm/claude-settings --skill "AI Safety 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

jmsktm

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 jmsktm/claude-settings at c113b0d7e1.

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

Commit
c113b0d7e1
Manifest
skills/ai-safety-auditor/SKILL.md
Scanned
1 file, 290 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 AI Safety Auditor skill helps evaluate and improve the safety of AI agent responses. It assesses outputs against defined safety guidelines, identifying potential risks like harmful advice or biased statements. This allows developers to proactively mitigate these issues and ensure responsible AI behavior.

When to use it

  • Evaluating new AI agents: Before deploying a new AI agent, assess its adherence to safety protocols using this skill.
  • Testing prompt variations: When experimenting with different prompts, quickly check for unintended safety consequences.
  • Monitoring existing agents: Regularly audit the responses of deployed agents to detect emerging safety concerns.
  • Debugging unexpected behavior: Investigate why an AI agent produced a problematic response by having it audited.

Key capabilities

  • Safety guideline assessment
  • Harmful advice detection
  • Bias identification in outputs

Example prompts

  • "Audit the following text for potential safety violations: [AI Agent Response]"
  • "Assess this prompt's likely impact on AI agent safety: [Prompt Text]"
  • "Check this response for harmful or biased content: [AI Agent Output]"

Tips & gotchas

The effectiveness of the auditor depends on the clarity and comprehensiveness of your defined safety guidelines. Ensure these guidelines are well-defined to get accurate and useful results.