Agent skill · Business & Finance

alphaear-stock

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

RKidinggithub.com/RKidingGitHub ↗
claude-codeships scriptsApache-2.0
Install
npx skills add RKiding/Awesome-finance-skills --skill alphaear-stock --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 1 KB
Bundled scripts: yes
Path: skills/alphaear-stock/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,750
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AlphaEar Stock Skill ## Overview Search A-Share/HK/US stock tickers and retrieve historical price data (OHLCV). ## Capabilities ### 1. Stock Search & Data Use `scripts/stock_tools.py` via `StockTools`. - **Search**: `search_ticker(query)` - Fuzzy search by code or name (e.g., "Moutai", "600519"). - Returns: List of `{code, name}`. - **Get Price**: `get_stock_price(ticker, start_date, end_date)`

More from Awesome-finance-skills
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About this skill
What does the alphaear-stock skill do?

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

How do I install it?

Run `npx skills add RKiding/Awesome-finance-skills --skill alphaear-stock --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From RKiding/Awesome-finance-skills, a repository with 2,750 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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