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-ready, runs on T4 GPU.
Installation
SKILL.md
NeMo Guardrails adds programmable safety rails to LLM applications at runtime.
Colang 2.0 DSL: See references/colang-guide.md for flow syntax, actions, variables, and advanced patterns.
Integration guide: See references/integrations.md for LlamaGuard, Presidio, ActiveFence, and custom models.
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. Source: ovachiever/droid-tings.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ovachiever/droid-tings --skill nemo-guardrails- Source
- ovachiever/droid-tings
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is 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-ready, runs on T4 GPU. Source: ovachiever/droid-tings.
How do I install nemo-guardrails?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill nemo-guardrails Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/ovachiever/droid-tings
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01