{"name":"shihwesley-neo-research","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"shihwesley-neo-research","source":{"source":"github","repo":"shihwesley/neo-research"},"description":"Research pipeline + sandboxed Python execution for Claude Code. Turns any topic into agent expertise: structured question tree → source discovery → zero-context fetch (content never enters LLM context) → .mv2 indexing → REPL-based distillation → compact expertise artifact. Also runs Python in isolated Docker containers for code execution, DSPy sub-agents, and data analysis.","version":"2.0.0","strict":true,"keywords":["sandbox","docker","python","dspy","knowledge-store","memvid","mcp","research","rlm"],"category":"data"}]}