implementing-llm-guardrails-for-security
CommunityEnhance AI application security with input/output validation guardrails.
AuthorRazisafir
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the security concerns of LLM-powered applications by implementing input/output validation guardrails to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs.
Core Features & Use Cases
- Input Validation: Blocks injection attempts, strips PII, and enforces topic boundaries to ensure safe user inputs.
- Output Filtering: Detects hallucinations, filters toxic content, and validates JSON schema compliance for model outputs.
- Use Case: For a company deploying an LLM-powered chatbot, this Skill can be used to ensure that user inputs are safe and that the chatbot's responses are accurate and comply with content policies.
Quick Start
Run the guardrails security agent with the provided input to validate its safety and compliance with the defined policies.
Dependency Matrix
Required Modules
nemoguardrailsguardrails-aipresidio-analyzerpresidio-anonymizerspacyopenai
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: implementing-llm-guardrails-for-security Download link: https://github.com/Razisafir/KOVIX/archive/main.zip#implementing-llm-guardrails-for-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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