Individual skill
safety-alignment-llamaguard
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
cli-tool/components/skills/ai-research/safety-alignment-llamaguard/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
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- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 33,202
- Repository last updated
- Nov 8, 2026
- License
- MIT
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- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry Repository topic
- safety-alignment Declared skill tag
- llamaguard Declared skill tag
- content-moderation Declared skill tag
- meta Declared skill tag
- guardrails Declared skill tag
- safety-classification Declared skill tag
- input-filtering Declared skill tag
- output-filtering Declared skill tag
- ai-safety Declared skill tag
- writing Derived category
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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**: