alphaear-news
Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
npx skills add RKiding/Awesome-finance-skills --skill alphaear-news --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AlphaEar News Skill ## Overview Fetch real-time hot news, generate unified trend reports, and retrieve Polymarket prediction data. ## Capabilities ### 1. Fetch Hot News & Trends Use `scripts/news_tools.py` via `NewsNowTools`. - **Fetch News**: `fetch_hot_news(source_id, count)` - See [sources.md](references/sources.md) for valid `source_id`s (e.g., `cls`, `weibo`). - **Unified Report**: `get_uni
What does the alphaear-news skill do?
Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
How do I install it?
Run `npx skills add RKiding/Awesome-finance-skills --skill alphaear-news --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.