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nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production

  • Skills
  • AI research
  • 0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/nemo-guardrails && curl -fsSL https://doutorai.pt/data/lib/skills__nemo-guardrails.md -o .claude/skills/nemo-guardrails/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: nemo-guardrails
description: NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Safety Alignment, NeMo Guardrails, NVIDIA, Jailbreak Detection, Guardrails, Colang, Runtime Safety, Hallucination Detection, PII Filtering, Production]
dependencies: [nemoguardrails]
---

# NeMo Guardrails - Programmable Safety for LLM

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