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.

by Orchestra-Research 12k GitHub stars MIT Updated Jun 16, 2026
llamaguard skill by Orchestra-Research
llamaguard — Backend skill by Orchestra-Research

Overview

llamaguard is an open-source backend skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “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, Huggi…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.

What llamaguard does

LlamaGuard is a 7-8B parameter model specialized for content safety classification.

Best for

What’s inside

The SKILL.md for llamaguard is organised into these sections:

  • Quick start
  • Common workflows
  • Workflow 1: Input filtering (prompt moderation)
  • Workflow 2: Output filtering (response moderation)
  • Workflow 3: vLLM deployment (fast inference)
  • Workflow 4: API endpoint (FastAPI)
  • Workflow 5: NeMo Guardrails integration
  • When to use vs alternatives
  • Common issues
  • Advanced topics
  • Hardware requirements
  • Resources

Installation

Add llamaguard to your agent with:

/plugin marketplace add Orchestra-Research/AI-Research-SKILLs

Review a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.

Supported agents

  • Claude Code — ships a claude code plugin marketplace
  • Codex — declared in the repository topics

License

llamaguard is published under the MIT license.

Strengths

  • Clear MIT license — safe to read and adapt within its terms
  • Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
  • Works with Claude Code, Codex

Author

Orchestra-Research 41 skills in the catalog · GitHub profile ↗
View skills

Topics

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Frequently asked questions

What does llamaguard do?
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.
How do I install llamaguard?
Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
Is llamaguard free to use?
Yes. llamaguard is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Which agents does llamaguard work with?
llamaguard lists Claude Code and Codex — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
Where does llamaguard come from?
llamaguard ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.

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