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Nemo Guardrails

Checked
ovachiever·vlatest·other

Nemo Guardrails helps refine AI responses by setting boundaries and constraints, ensuring safer, more focused, and higher-quality outputs.

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 ovachiever/droid-tings --skill nemo-guardrails -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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/nemo-guardrails/SKILL.md
Scanned
1 file, 278 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, ovachiever-nemo-guardrails, provides guardrails for AI agents. It likely enforces safety and ethical boundaries within agent interactions. The specific implementation details are not provided in the source content but suggests a mechanism to constrain or guide an AI's responses.

When to use it

  • When you need to ensure your AI agent avoids generating harmful or inappropriate content.
  • For applications where adherence to strict safety guidelines is critical, such as healthcare or education.
  • To proactively limit the scope of an AI’s responses and prevent unexpected behavior.
  • In scenarios requiring compliance with specific regulatory requirements regarding AI output.

Key capabilities

  • Provides guardrails for AI agents.
  • Enforces safety and ethical boundaries.
  • Constrains or guides AI agent responses.

Example prompts

  • "Respond to this user query, but adhere to the nemo-guardrails."
  • "Generate a creative story, ensuring it complies with the defined guardrails."
  • "Summarize this document while respecting the safety constraints of nemo-guardrails."

Tips & gotchas

The specific configuration and limitations of the guardrails are not detailed in the source. It's important to test thoroughly after installation to ensure desired behavior and identify any potential conflicts with other skills.