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.
backend/cli/skills/llm-tools/llamaguard/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 4,351
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent 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**: