skills.rest
doanchienthangdev
doanchienthangdevCOMMUNITY
Explore all skills by this author →
GitHub

guardrails-safety

Detect toxicity and PII in AI application inputs and outputs.

4|1|Updated Dec 30, 2025
Search Tags:#safety#ai security#guardrails#injection defense#constitutional ai#pii protection
One-click install
npx skills add https://github.com/doanchienthangdev/omgkit --skill guardrails-safety-doanchienthangdev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: guardrails-safety
Source: https://github.com/doanchienthangdev/omgkit/tree/main/plugin/skills/ai-engineering/guardrails-safety
Command: npx skills add https://github.com/doanchienthangdev/omgkit --skill guardrails-safety-doanchienthangdev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the critical need to protect AI applications from misuse, ensuring secure interactions by implementing robust input and output guardrails, preventing data leakage, and defending against malicious attacks.

Core Features & Use Cases

  • Input Guardrails: Detects and sanitizes toxic content, PII, and injection attempts in user inputs.
  • Output Guardrails: Validates AI-generated outputs for factuality, toxicity, and citation accuracy.
  • Constitutional AI: Enforces predefined ethical principles and safety guidelines on AI responses.
  • Use Case: When building a customer-facing chatbot, use this Skill to ensure that user inputs do not contain harmful language or attempts to jailbreak the AI, and that the AI's responses are safe, factual, and do not reveal sensitive information.

Quick Start

Use the guardrails-safety skill to check the provided user input for toxicity and PII.

Frequently Asked Questions about guardrails-safety

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I protect my AI chatbot from prompt injection attacks?▼

To protect an AI chatbot from prompt injection attacks, implement input guardrails to detect and sanitize malicious user inputs before they reach the model. This prevents jailbreak attempts and ensures secure interactions.

What are input and output guardrails for AI security?▼

Input and output guardrails for AI security are validation layers that sanitize user prompts for toxicity and PII, while checking AI-generated responses for factuality and citation accuracy to prevent data leakage.

How do I prevent PII data leakage in AI responses?▼

To prevent PII data leakage in AI responses, use output guardrails to validate AI-generated text and input guardrails to sanitize user prompts, ensuring sensitive information is not revealed or processed.

Can I enforce constitutional AI principles to filter toxic content?▼

Yes, you can enforce constitutional AI principles by applying predefined ethical guidelines and safety protocols to filter toxic content, ensuring AI responses remain safe, factual, and compliant with regulatory standards.

Does implementing AI safety guardrails require external Python libraries?▼

Yes, implementing AI safety guardrails requires Python libraries for natural language processing and pattern matching to accurately detect toxicity, identify PII, and enforce safety protocols within your application.

Related Skills

Explore More Software Engineering Skills→
flowelflowel

humanizer-zh

Remove AI writing traces from text using NLP patterns.

Community
Intermediate
kangarookingkangarooking
154

injection-defense

Detect and block prompt injection, jailbreak, and social engineering attempts.

Community
Advanced
sebach0sebach0

firebase-ai

Integrates Firebase AI with Flutter apps for text generation and chat via Google AI API backend.

Community
Intermediate
ricardorochericardoroche
2

ai-security

Detect prompt injection attempts in AI and LLM applications.

Community
Intermediate