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Safety Checker

Listed
barneyjm·vlatest·other·MIT

This Safety Checker verifies generated content for potentially harmful or inappropriate elements, ensuring safer and more responsible outputs.

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 camino-safety-checker, 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 barneyjm/camino-skills --skill camino-safety-checker -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

barneyjm

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 1 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: api.getcamino.ai, app.getcamino.ai.

    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

    app.getcamino.aiundeclaredapi.getcamino.aiundeclared

    What it found

    • skills/camino/safety-checker/scripts/safety-checker.sh:33contacts app.getcamino.ai
      echo "Get your API key at https://app.getcamino.ai" >&2
    • skills/camino/safety-checker/scripts/safety-checker.sh:72contacts api.getcamino.ai
      "https://api.getcamino.ai/context" | jq .

  • 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.

  • 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 barneyjm/camino-skills at 6485cdd863.

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

Commit
6485cdd863
Manifest
skills/camino/safety-checker/SKILL.md
Scanned
2 files, 176 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 safety-checker skill assesses AI agent outputs for potential safety concerns. It identifies and flags responses that might be harmful, unethical, or inappropriate. This allows for a layer of review before the output is presented to the user, promoting responsible AI usage.

When to use it

  • Content Generation: Before publishing blog posts or articles generated by an AI agent.
  • Chatbot Interactions: To ensure chatbot responses are safe and aligned with ethical guidelines.
  • Code Generation: To check for potentially insecure code snippets produced by a coding assistant.
  • Creative Writing: Reviewing stories or scripts to avoid harmful themes or depictions.

Key capabilities

  • Harmful content detection
  • Unethical response flagging
  • Inappropriate output assessment

Example prompts

  • "Check this text for safety concerns: [AI-generated text]"
  • "Is this chatbot response appropriate? [Chatbot response]"
  • "Assess the following code snippet for potential vulnerabilities: [Code snippet]"

Tips & gotchas

The skill's effectiveness depends on the quality of its underlying models. It is recommended to use it in conjunction with human review, as automated safety checks are not foolproof.