Enterprise Private Context & Role-Based Access Control (RBAC) Governance Sentinel (inspired by WeChat Work, Tencent Docs enterprise permissions). Inspects ingested context, classifies security clearan
genpark-enterprise-context-permission-boundary-auditor-skill
Production-Grade Agentic Commerce & Work Agent Infrastructure Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
genpark-enterprise-context-permission-boundary-auditor-skill delivers robust, industrial-grade capabilities bridging Consumer Agentic Commerce and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Enterprise Private Context & Role-Based Access Control (RBAC) Governance Sentinel (inspired by WeChat Work, Tencent Docs enterprise permissions). Inspects ingested context, classifies security clearance tiers, sanitizes cross-department prompts, and prevents data leaks.
- Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities. - Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and enterprise work agent frameworks. - Deterministic & Safe: Designed with cryptographic authorization tokens, role-based boundary validation, and structured telemetry. - High Concurrency & Low Latency: In-memory caching, transactional validation, and optimized execution loops.
From the project README.
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