Real-time spend clarity anomaly detector identifying runaway agent token burn spikes with statistical Z-scores
genpark-billing-spend-anomaly-guard-skill
Production-Grade Autonomous Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation
genpark-billing-spend-anomaly-guard-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for autonomous agent workflows, usage-based billing monetization, and multi-dimensional pricing.
Executive Capability: Real-time spend clarity anomaly detector identifying runaway agent token burn spikes with statistical Z-scores
⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: 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. 🎯 100% Production-Grade Dynamic Execution: Real mathematical scoring, robust matrix lookups, and deterministic billing outputs without static placeholders. 🚀 Low Latency & High Reliability: Sub-millisecond execution overhead tailored for high-concurrency production billing systems.
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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