{"skill":{"slug":"data-hub","displayName":"Data Hub","summary":"数字货币量化交易系统的内存数据中枢，为多 Agent 提供统一的数据共享层。管理行情(market_state)、指标(indicators)、情报(intelligence)、风控(risk_audit)四个命名空间。Use when: Agent 需要读写共享数据、查询行情/指标/研报/风控状态。NOT fo...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":227,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1773743483173,"updatedAt":1773747713371},"latestVersion":{"version":"1.0.0","createdAt":1773743483173,"changelog":"data-hub 1.0.0 — Initial release\n\n- Provides an in-memory data hub for multi-Agent quantitative trading systems, supporting real-time data sharing across market state, indicators, intelligence, and risk audit.\n- Enforces namespace-specific write permissions for Agents to maintain data integrity.\n- Utilizes Pydantic for input data validation, with LLM-friendly error feedback instead of exceptions.\n- Implements lazy data cleanup on summary access: stale/expired data is detected and marked in-place.\n- Maintains sliding window (max 50 entries) for indicators data to cap memory usage.\n- No persistent storage, historical queries, or direct trading actions; designed solely for real-time shared context.","license":"MIT-0"},"metadata":null,"owner":{"handle":"johnny-ggao","userId":"s17218ntvkews2p5xfz8qrwv7s850dmp","displayName":"Johnny","image":"https://avatars.githubusercontent.com/u/39037619?v=4"},"moderation":null}