llamaguard
CommunityModeration with Meta's guardrails
Authorovachiever
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill introduces LlamaGuard for safe input/output moderation with high accuracy, including optional deployments via vLLM, HuggingFace, and NeMo Guardrails.
Core Features & Use Cases
- Moderation Core: 6 safety categories (violence/hate, sexual content, weapons, substances, self-harm, criminal planning).
- Deployment Options: vLLM, HuggingFace, and cloud/edge deployments for fast moderation.
- API & Endpoints: FastAPI/REST style moderation endpoints with batch processing.
- Input/Output Filtering: Pre- and post-LLM moderation to ensure safe user interactions.
- Performance: High throughput with optimized inference.
Quick Start
Deploy LlamaGuard with a chosen backend (vLLM/HuggingFace/NeMo Guardrails) and route user input through the moderator before invoking LLMs.
Dependency Matrix
Required Modules
transformerstorchvllm
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llamaguard Download link: https://github.com/ovachiever/droid-tings/archive/main.zip#llamaguard Please download this .zip file, extract it, and install it in the .claude/skills/ directory.