Automate A-share stock risk screening and 8-dimension scoring with Tushare and Tavily.
npx skills add https://github.com/icrefin/skills --skill mrdang
Please help me install this Agent Skill. Skill: mrdang Source: https://github.com/icrefin/skills/tree/main/mrdang Command: npx skills add https://github.com/icrefin/skills --skill mrdang
MR Dang 价值选股打分助手 通过自动化数据获取、风险筛查和多维打分，解决投资分析中的信息分散、数据获取与主观判断的挑战。
直接让 Claude 按股票名称触发 MR Dang 分析，生成带分数的报告。
High-intent search queries and answers about installing and using this skill.
Automate A-share stock risk scoring by retrieving structured data via Tushare and supplementing it with Tavily web search. The workflow enforces data fetching before scoring and generates an 8-dimension score with a formal analysis report.
Yes, you need a TUSHARE_TOKEN to fetch financial and valuation data. A TAVILY_API_KEY is also required to supplement the stock analysis with web search information for business and risk context.
The 8-dimension scoring system is a multi-criteria evaluation method that automates stock risk screening for A-share investments. It generates a total score out of 100 points and a formal report for tracking and investment decisions.
The stock risk screening workflow gracefully handles missing data during the scoring process. It enforces data fetching via Tushare before scoring and supplements gaps with Tavily web search to ensure robust analysis.
Yes, the stock analysis workflow uses Tavily web search to supplement Tushare financial data. It gathers company business details, industry position, and risk information to form a comprehensive comparative analysis.
Automated stock scoring supports phased and batch investment strategies by generating score-based grading and investment ratings. The formal analysis report helps users track A-share stocks and make staged investment decisions.
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