What is the 4-layer security architecture in this skill?

The architecture consists of an Input layer for screening, a System layer for ethical limits, an Output layer for validation, and a Monitoring layer for logs and rate limiting.

Does it provide validation for AI responses?

Yes, the Output layer specifically focuses on format validation, tool call verification, and hallucination detection to ensure response accuracy.

How does it handle sensitive user data?

The Input layer includes PII detection and redaction capabilities to identify and mask sensitive information before it reaches the model.

Can this skill prevent jailbreak attempts?

Yes, it includes specific regex pattern matching and ethical guardrail templates designed to resist roleplay-based bypasses and malicious instructions.

AI Security Guardrails

Name: AI Security Guardrails
Author: fusengine

byfusengine

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Security & Testing

Implements multi-layered security architectures and ethical quality controls for AI agents and prompts.

About

The Guardrails skill provides a comprehensive 4-layer security framework designed to harden AI agents against vulnerabilities and quality issues. It guides developers through implementing input screening for jailbreaks and PII, system-level ethical constraints, output validation to prevent hallucinations, and continuous monitoring. By using standardized templates and checklists, this skill ensures that Claude-driven applications remain safe, compliant, and reliable while preventing unauthorized capability access.

Key Features

1 GitHub stars
Jailbreak and prompt injection protection
Automated PII detection and redaction patterns
Output format validation and hallucination detection
Pre-configured ethical guardrail templates
4-Layer Security Architecture (Input, System, Output, Monitoring)

Use Cases

Ensuring PII and sensitive data are redacted before LLM processing
Protecting production AI agents from prompt injection and jailbreak attempts
Implementing standardized ethical compliance across multiple agent systems

About

Key Features

1 GitHub stars
Jailbreak and prompt injection protection
Automated PII detection and redaction patterns
Output format validation and hallucination detection
Pre-configured ethical guardrail templates
4-Layer Security Architecture (Input, System, Output, Monitoring)

Use Cases

Ensuring PII and sensitive data are redacted before LLM processing
Protecting production AI agents from prompt injection and jailbreak attempts
Implementing standardized ethical compliance across multiple agent systems