nemo-guardrails

Implement programmable runtime safety rails for LLM applications with Colang 2.0 DSL.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP --skill nemo-guardrails-kapptech88
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nemo-guardrails
Source: https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP/tree/main/skills/nemo-guardrails
Command: npx skills add https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP --skill nemo-guardrails-kapptech88

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

NVIDIA NeMo Guardrails provides programmable runtime safety rails for LLM applications by enabling detection of jailbreak attempts, input/output validation, fact-checking, and PII filtering to prevent unsafe or non-compliant responses.

Core Features & Use Cases

  • Jailbreak detection and refusal
  • Input/output validation and fact-checking
  • PII filtering and toxicity checks
  • Integration with Colang 2.0 DSL for programmable rails
  • Use Case: Secure enterprise LLM deployments on NVIDIA NeMo Guardrails

Quick Start

Install nemoguardrails and wrap your LLM with rails to enforce runtime safety checks.

Frequently Asked Questions about nemo-guardrails

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add runtime safety rails to my LLM application?

You can add runtime safety rails by installing the nemoguardrails library and wrapping your LLM with programmable rails to enforce real-time input validation, PII filtering, and fact-checking.

What is Colang 2.0 DSL used for in NeMo Guardrails?

Colang 2.0 DSL is used to programmatically define and configure runtime safety rails for LLM applications, enabling custom jailbreak detection, input validation, and PII filtering.

Can I use this to prevent jailbreak attempts in enterprise LLM deployments?

Yes, this Skill applies programmable runtime safety rails specifically designed for enterprise LLM deployments, providing real-time jailbreak detection and refusal capabilities.

How do I filter PII and perform fact-checking across NeMo Guardrails deployments?

You can filter PII and perform fact-checking by configuring Colang 2.0 DSL rails within your NeMo Guardrails deployment to validate inputs and prevent non-compliant responses.

Does implementing runtime safety rails require any specific dependencies?

Implementing these runtime safety rails depends on the nemoguardrails library, which integrates with common LLM pipelines to enforce toxicity checks and input validation.

What is the best way to integrate NeMo Guardrails with common LLM pipelines?

The best way to integrate is by using the nemoguardrails library to wrap your existing LLM, applying Colang 2.0 DSL configurations to enforce real-time safety and compliance checks.