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Nemo Guardrails

Checked
davila7·vlatest·security·MIT

Nemo Guardrails ensures AI responses remain on-topic and safe by dynamically adjusting prompts, boosting reliability & preventing unwanted 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 davila7/claude-code-templates --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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/safety-alignment-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

The Nemo Guardrails skill integrates a robust filtering system designed to prevent AI agents from generating harmful, biased, or policy-violating content. It acts as a safety layer that intercepts model outputs before they reach the user, ensuring compliance with strict ethical and operational standards.

When to use it

  • Deploying AI agents in enterprise environments where data privacy and regulatory compliance are mandatory.
  • Building public-facing chatbots that must adhere to specific brand voice guidelines and avoid controversial topics.
  • Creating automated coding assistants that need to prevent the generation of insecure or malicious code snippets.
  • Running internal knowledge base queries where hallucinations or fabricated facts could lead to critical decision errors.

Key capabilities

  • Real-time content moderation and toxicity detection.
  • Customizable rule sets for specific industry regulations or organizational policies.
  • Automatic blocking of responses that violate predefined safety thresholds.
  • Integration with various large language model providers to enforce consistent guardrails.

Example prompts

  • "Act as a customer support agent and answer this query, but first check your internal guardrails to ensure the response doesn't reveal any proprietary pricing data."
  • "Generate a Python script to automate file deletion, then run it through the Nemo Guardrails filter to verify no insecure practices are included."
  • "Explain the concept of quantum computing to a child, ensuring the explanation passes all safety and accuracy checks before being displayed."

Tips & gotchas

Guardrails may occasionally block benign responses if they trigger overly sensitive keywords; tune your rule sets to balance safety with utility. Ensure your AI agent has permission to access the guardrail API, as installation alone does not automatically activate the filtering layer in all workflow configurations.