myquant

掘金量化Python SDK - 事件驱动量化平台，支持A股、期货、期权、ETF、可转债回测与实盘交易。

This skill appears to be a wrapper/guide for the official MyQuant ('gm') Python SDK and only needs python3 plus a MyQuant token — which is reasonable. However, there are multiple inconsistencies in the package metadata (mismatched version numbers and owner IDs, and disagreement about whether GM_TOKEN is declared in the registry). Before installing or providing credentials: 1) Verify the 'gm' package source (confirm the package on PyPI or the vendor site is the official MyQuant release and check publisher/owner). 2) Prefer installing 'gm' directly from the official PyPI entry or vendor download linked on https://www.myquant.cn rather than any untrusted bundle. 3) Do not paste your GM_TOKEN into third-party UIs or scripts unless you confirm the package origin; use a dedicated API token with minimal permissions if possible. 4) If you need higher assurance, request the upstream repository URL or a signed release; check the package contents for unexpected network calls before running in a production environment. If you want, I can list specific checks to perform on the 'gm' package or help verify the PyPI project and its maintainers.

Type: OpenClaw Skill Name: myquant Version: 1.0.3 The skill bundle provides comprehensive documentation and code examples for the 'GoldMiner' (掘金量化) quantitative trading Python SDK. It includes standard API references, multiple strategy templates (e.g., Moving Average, Turtle CTA, Multi-factor), and a guide for AI agents to perform data validation and multi-step analysis. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all instructions and code samples are consistent with the stated purpose of financial market analysis and trading.