Genpark Rebac Relationship Authorization Policy Evaluator Skill
Description
ReBAC relationship-based authorization policy evaluator (Permify / Cerbos)
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
genpark-rebac-relationship-authorization-policy-evaluator-skill
[](https://www.python.org/) [](LICENSE) [](https://genpark.ai/mcp) [](https://genpark.ai) [-brightgreen.svg?style=for-the-badge)](requirements.txt)
Production-Grade AI Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
[🌐 GenPark MCP Hub Showcase](https://genpark.ai/mcp) • [📦 GenPark Official Website](https://genpark.ai) • [📖 Documentation](#quickstart)
📌 Overview & Capability
**genpark-rebac-relationship-authorization-policy-evaluator-skill** is a deterministic, zero-dependency Python skill engineered for autonomous AI agents, multi-agent frameworks (Claude Desktop, Cursor, AutoGPT, CrewAI), and enterprise pipelines.
**Executive Capability**: ReBAC relationship-based authorization policy evaluator (Permify / Cerbos)
⚡ Key Highlights & Value
- 🐍 Zero External
pipDependencies: Runs instantly on standard Python 3.9+ with zero environment bloat. - 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
- 🎯 Deterministic & Reliable: 100% predictable input/output contracts with full JSON Schema validation.
- 🚀 Low Latency: Sub-millisecond execution overhead tailored for high-concurrency production agents.
🏗️ Architecture & Workflow
graph LR
User([🌐 User / AI Agent]) -->|JSON-RPC Request| MCP[⚡ Related Skills
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