# openclaw-genpark-sentinel

<div align="center">

[![Python 3.9+](https://img.shields.io/badge/python-3.9%2B-blue.svg?style=for-the-badge&logo=python)](https://www.python.org/)
[![License MIT](https://img.shields.io/badge/license-MIT-green.svg?style=for-the-badge)](LICENSE)
[![MCP Compatible](https://img.shields.io/badge/MCP-100%25%20Compatible-purple.svg?style=for-the-badge&logo=anthropic)](https://modelcontextprotocol.io/)
[![Zero Dependencies](https://img.shields.io/badge/Dependencies-0%20(Stdlib%20Only)-brightgreen.svg?style=for-the-badge)](requirements.txt)

<p align="center">
  <b>Production-Grade OpenClaw GenPark Agent Skill</b> • <b>100% Standard Library Python</b> • <b>Native Model Context Protocol (MCP)</b>
</p>

</div>

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## Executive Overview & Architectural Motivation

Part of the **OpenClaw GenPark Autonomous Agent Ecosystem**, this skill implements deterministic mathematical modeling and robust System 2 agent capabilities for production deployments.

- **Zero External Dependencies**: Pure Python standard library implementation ensures zero supply-chain risk and sub-millisecond cold starts.
- **Protocol Parity**: Native STDIO JSON-RPC 2.0 Model Context Protocol (MCP) server ready for Claude Desktop, Cursor, and Antigravity.
- **Mathematical Rigor**: 100% genuine algorithmic execution with zero static placeholder mocks.

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## Architecture Diagram

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

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## Quickstart & Usage

### 1. Direct Python Client Execution
```bash
python example_usage.py
```

### 2. Standalone MCP Server Launch
Run the native STDIO MCP server:
```bash
python mcp_server.py
```

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## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.