mukul975/Anthropic-Cybersecurity-Skills
A comprehensive open-source library featuring 754 structured cybersecurity skills for AI agents, mapped to five industry frameworks to provide expert-level guidance.
Awesome MCP › Security & Reverse Engineering
splx-ai/agentic-radar
Agentic Radar is a specialized security scanner tool designed to analyze, visualize, and assess vulnerabilities in agentic workflows that utilize large language models. It is aimed at developers, researchers, and security professionals who want to understand the operational and security aspects of agentic systems. The tool provides a comprehensive security report that includes workflow visualization, tool identification, MCP (Model Context Protocol) server detection, and vulnerability mapping. The workflow visualization feature generates a graph representing the agentic system's workflow, helping users to see the structure and flow of the system. Tool identification lists all external and custom tools used by the system, while MCP server detection identifies all MCP servers employed by the agents within the system. Vulnerability mapping connects the identified tools to known vulnerabilities, offering a detailed security overview. The results are compiled into an easy-to-review and share HTML report. Agentic Radar also maps detected vulnerabilities to well-known security frameworks such as the OWASP Top 10 for Large Language Model Applications and the OWASP Agentic AI Threats and Mitigations. The tool supports multiple agentic frameworks including LangGraph, CrewAI, n8n, OpenAI Agents, and Autogen. It offers advanced features like Agentic Prompt Hardening, which automatically improves system prompts in agentic workflows to follow best prompt engineering practices. This feature requires an OpenAI API key and is currently supported for several frameworks. The tool can be installed via Python's pip package manager and has optional extras for CrewAI and OpenAI Agents to enhance functionality. Agentic Radar is a valuable resource for securing agentic AI workflows by identifying vulnerabilities and improving prompt quality, making it a critical tool in the context of Model Context Protocol (MCP) security and analysis.
https://github.com/splx-ai/agentic-radar
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