add-llm-guardrails
OfficialAdd robust safety guardrails to LLM/agent apps
AuthorContextJet-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive safety and security guardrails for LLM/agent applications, preventing prompt injection, PII leakage, and toxic outputs.
Core Features & Use Cases
- Input Guardrails: Detects and prevents prompt injection, PII detection, and off-topic requests before they reach the model.
- Output Guardrails: Validates structured output, checks for toxicity, groundedness, and sensitive data egress.
- Implementation: Integrates with popular guardrail libraries and can be wrapped around model calls.
- Use Case: Use this Skill to enhance the security and reliability of your LLM/agent applications, especially in regulated or enterprise environments.
Quick Start
To add guardrails to your LLM app, use the 'add-llm-guardrails' skill with the command: "apply guardrails to my-app".
Dependency Matrix
Required Modules
guardrails-aillm-guardnvidia-guardrails
Components
scriptsreferences
💻 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: add-llm-guardrails Download link: https://github.com/ContextJet-ai/awesome-llm-observability/archive/main.zip#add-llm-guardrails Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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