Llama Guard is an AI Engineering skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.
Llama Guard filters LLM inputs and outputs for unsafe content across violence, sexual content, weapons, substances, self-harm, and criminal planning. Use it to block or review prompts and responses in production chat apps.
Llama Guard is cataloged under AI Engineering on DirSkills. Llama Guard comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.
Documentation
LlamaGuard is a 7-8B parameter model specialized for content safety classification.
Installation:
pip install transformers torch
# Login to HuggingFace (required)
huggingface-cli login
This is the opening of the README. Read the full README on GitHub.
Llama Guard is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way Llama Guard does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.
Llama Guard ranks #342 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Llama Guard against them. Open each page to compare what they document and how they install.
Llama Guard is one of 50 skills cataloged on DirSkills from Orchestra-Research/AI-Research-SKILLs.
Llama Guard is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #342 by stars among them.