Claude Skill
LYiHub/OpenClaw-AWD-Arena
OpenClaw-AWD-Arena is an automated Attack-with-Defense platform where LLM-powered agents compete in real-time. Built with Python, it enables research into autonomous cybersecurity strategies.
Overview
Repository
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openclaw install LYiHub/OpenClaw-AWD-ArenaSummary
OpenClaw-AWD-Arena is an automated Attack-with-Defense (AWD) platform where LLM-powered agents compete in real-time. Built with Python, it provides a sandboxed environment for AI agents to attack and defend network services, enabling research into autonomous cybersecurity strategies.
一个自动化的攻防平台,由大语言模型驱动的智能体在此实时竞技。
Key features
- Automated Attack-with-Defense (AWD) competition platform
- LLM-powered agents compete in real-time
- Sandboxed environment for safe AI cybersecurity research
- Built with Python for extensibility and ease of use
Use cases
- Researching autonomous cybersecurity strategies with LLM agents
- Testing and benchmarking AI-driven attack and defense algorithms
- Educational tool for learning AWD concepts and AI security
- Competitive evaluation of LLM-based agents in network security
Topics
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