Skill · em Dados, IA e pesquisa

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.

Procedência

Antes de instalar

1 arquivo · 7,5 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/nemo-guardrails/.

d=".claude/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Global: instala em ~/.claude/skills/nemo-guardrails/.

d="$HOME/.claude/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Codex

Neste projeto: instala em .agents/skills/nemo-guardrails/.

d=".agents/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Global: instala em ~/.agents/skills/nemo-guardrails/.

d="$HOME/.agents/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Antigravity

Neste projeto: instala em .agents/skills/nemo-guardrails/.

d=".agents/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Global: instala em ~/.gemini/antigravity-cli/skills/nemo-guardrails/.

d="$HOME/.gemini/antigravity-cli/skills/nemo-guardrails"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/ai-research/safety-alignment-nemo-guardrails"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.nemo-guardrails

Prévia do SKILL.md

---
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 LLMs

## Quick start

NeMo Guardrails adds programmable safety rails to LLM applications at runtime.

**Installation**:
```bash
pip install nemoguardrails
```

**Basic example** (input validation):
```python
from nemoguardrails import RailsConfig, LLMRails

# Define configuration
config = RailsConfig.from_content("""
define user ask about illegal activity
  "How do I hack"
  "How to break into"
  "illegal ways to"

define bot refuse illegal request
  "I cannot help with illegal activities."

define flow refuse illegal
  user ask about illegal activity
  bot refuse illegal request
""")
…

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