Filter prompts and model outputs for injection, secrets, toxicity, and policy risks with LLM Guard

Installation
SKILL.md

Filter prompts and model outputs for injection, secrets, toxicity, and policy risks with LLM Guard

Screen prompts and responses with input and output scanners before an LLM interaction reaches production users or downstream systems.

Prerequisites

Python 3.9+, application or agent code that can wrap LLM input and output handling

Installation

Use the upstream install or setup path that matches your environment:

  • pip install llm-guard

Requirements and caveats from upstream:

  • PyPI - Python Version
  • Base functionality requires a limited number of libraries. As you explore more advanced features, necessary libraries
  • Ensure you're using Python version 3.9 or higher. Confirm with: python --version.
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Filter prompts and model outputs for injection, secrets, toxicity, and policy risks with LLM Guard — agentskillexchange/skills