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openclaw-genpark-deep-auditor

mcp
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SUMMARY

OpenClaw GenPark Deep Auditor - Multi-hop agent trajectory auditor with cyclic loop detection, diversity scoring, and execution drift prevention.

README.md

openclaw-genpark-deep-auditor

Organization
Model Context Protocol
Zero-Dependency
Python Version
Security Rating
License

Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and quantitative analysis via the Model Context Protocol (MCP).

Architecture & Data Flow

flowchart TD
    Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkDeepAuditor"]
    Core --> Model[Mathematical Logic Engine]
    Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]

Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Standalone MCP Server Launch

Run the native STDIO MCP server:

python mcp_server.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

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