hgsz2003hgsz2003Community·1 Agent Skills Included

huachuang-morphology-skills

Fetch index timing signals and ETF market data

Retrieves quantitative morphology signals for broad, industry, style, and concept indexes plus ETF cross-section and historical data. Eliminates manual API scripting by wrapping the Huachuang quant endpoints in a simple command-line interface with clean JSON output. Supports performance evaluation of ETF signals and keeps your API token stored safely in a local config file.
npx skills add hgsz2003/huachuang-morphology-skills --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install huachuang-morphology-skills?

Run `npx skills add hgsz2003/huachuang-morphology-skills --all -g -y` in your terminal to install this skill globally.

What data does this skill provide?

It provides index timing signals, ETF cross-section and historical signals, daily statistics, and intermediate market data from the Huachuang quantitative morphology service.

Do I need an API token to use it?

Yes. Copy scripts/config.example.json to scripts/config.json and fill in your valid API token before running any queries.

Can I evaluate ETF signal performance?

Yes. Install the empyrical package with pip, then call the evaluate_etf_performance method to compute basic performance metrics for ETF signals.

Does it work with Cursor and OpenClaw?

Yes. The skill follows the standard SKILL.md format and runs as a command-line script, so agents like Cursor and OpenClaw can execute it directly.

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