Individual skill
llamaguard
Classifies LLM prompts and responses as safe or unsafe using Meta's LlamaGuard (7B v1, 8B v2 and v3) across six categories: violence and hate, sexual content, guns and illegal weapons, regulated substances, suicide and self-harm, and criminal planning. Covers HuggingFace Transformers and vLLM inference, a FastAPI moderation endpoint, Sagemaker deployment, and NeMo Guardrails integration. Use when filtering user prompts before an LLM call, moderating model outputs before display, serving a self-hosted moderation API, or reducing latency and GPU memory of a moderation model with vLLM or quantization. Use when tuning thresholds to cut false positives. For a simpler hosted option, use the OpenAI Moderation API instead.
plugins/KalarisLabs/research-agent-skills/skills/llamaguard/SKILL.md
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- Last checked
- Nov 4, 2026
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- 1,532
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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Read excerpt
# LlamaGuard - AI Content Moderation
## Quick start
LlamaGuard is a 7-8B parameter model specialized for content safety classification.
**Installation**:
```bash
pip install transformers torch
# Login to HuggingFace (required)
huggingface-cli login
```
**Basic usage**: