Dialectic multi-agent debate and cross-examination engine to eliminate hallucinations (AutoGen / ChatDev)
genpark-agentic-hallucination-cross-examination-debate-skill
Production-Grade Multi-Agent Consensus & Orchestration Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub Showcase • 📦 GenPark Official Website • 📖 Documentation
genpark-agentic-hallucination-cross-examination-debate-skill is a deterministic, zero-dependency Python skill engineered for autonomous multi-agent consensus deliberation, hierarchical DAG task scheduling, context handoff, and adversarial cross-examination.
Executive Capability: Dialectic multi-agent debate and cross-examination engine to eliminate hallucinations (AutoGen / ChatDev)
⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantaneously on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Seamlessly integrates into Claude Desktop, Cursor IDE, AutoGen, and LangGraph swarms. 🎯 Deterministic & Reliable: 100% predictable input/output contracts with full JSON Schema validation. 🚀 Low Latency: Sub-millisecond execution overhead tailored for high-concurrency multi-agent swarms.
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
Parameter Type Required Description ------:---:--- querypayload string / dict Yes Primary input parameter parsed and executed deterministically outputformat json / dict Yes Standardized response schema containing execution telemetry
From the project README.
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