Can this skill help prevent prompt injection?

Yes, it provides specific L1 Model Layer checks and secure implementation patterns to prevent user-controlled prompts from reaching the LLM directly.

What security frameworks does this skill support?

It integrates MITRE ATLAS for attack taxonomy, OWASP MAESTRO for MAS-specific threats, NIST AI RMF for governance, and ISO 42001/23894 for management systems.

Is it suitable for production-grade AI applications?

Absolutely. It is designed to help systems meet enterprise-grade security standards and regulatory compliance requirements for agentic AI deployments.

Securing Multi-Agent Systems

Name: Securing Multi-Agent Systems
Author: qte77

byqte77

0•

Seguridad y Pruebas

Implements comprehensive security frameworks and threat modeling for multi-agent AI architectures to ensure robust, compliant, and safe implementations.

This skill provides a structured methodology for securing multi-agent systems (MAS) by integrating industry-standard frameworks including OWASP MAESTRO, MITRE ATLAS, NIST AI RMF, and ISO 42001. It enables developers to conduct deep security audits across seven critical layers—from model and agent logic to execution and orchestration. By providing automated checklists, threat matrix templates, and secure coding patterns, it helps identify vulnerabilities like prompt injection, type confusion, and resource exhaustion early in the development lifecycle, ensuring AI agents operate within safe and governed boundaries.

Características Principales

017-Layer security validation covering Model, Logic, Integration, Monitoring, Execution, Environment, and Orchestration

02Automated security checklists for agent plugins, including input validation and output safety

03Remediation patterns for common AI vulnerabilities like prompt injection and type confusion

040 GitHub stars

05Cross-framework threat mapping between MITRE ATLAS, OWASP MAESTRO, NIST AI RMF, and ISO standards

06Standardized threat matrix generation for enterprise governance and compliance documentation

Casos de Uso

01Conducting formal security reviews and threat modeling for complex multi-agent architectures.

02Validating third-party agent plugins for input sanitization and secure resource management.

03Implementing governance controls required for NIST AI RMF or ISO 42001 certification compliance.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qte77/claude-code-utils-plugin securing-mas

For use in Claude.ai and ChatGPT

Características Principales

017-Layer security validation covering Model, Logic, Integration, Monitoring, Execution, Environment, and Orchestration

02Automated security checklists for agent plugins, including input validation and output safety

03Remediation patterns for common AI vulnerabilities like prompt injection and type confusion

040 GitHub stars

05Cross-framework threat mapping between MITRE ATLAS, OWASP MAESTRO, NIST AI RMF, and ISO standards

06Standardized threat matrix generation for enterprise governance and compliance documentation

Casos de Uso

01Conducting formal security reviews and threat modeling for complex multi-agent architectures.

02Validating third-party agent plugins for input sanitization and secure resource management.

03Implementing governance controls required for NIST AI RMF or ISO 42001 certification compliance.