Individual skill
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.
07-safety-alignment/llamaguard/SKILL.md
Source commit 773a52944ba4747a18bd4ae9ade53fff041adcbc
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- Yes
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- Yes
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- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 14,454
- Repository last updated
- Oct 11, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- ai-research Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- gemini Repository topic
- gpt-5 Repository topic
- grpo Repository topic
- huggingface 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**: