genpark-monte-carlo-tree-search-agent-planner-skill

Provides advanced reasoning capabilities through simulated algorithms including Monte Carlo Tree Search, Beam Search, and Hybrid Reasoning, delivering structured JSON responses with complete reasoning traces for complex problem-solving in software development.

Advanced reasoning engine for penetration testing that implements Beam Search and Monte Carlo Tree Search algorithms to systematically analyze multi-stage attack paths, score attack steps, recommend appropriate tools like nmap and metasploit, and maintain tree-based attack progression for automated

MCTS guided chain-of-thought reasoning tree explorer (OpenAI o1 / o3 style)