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💰

alphaear-news Checked

Name: alphaear-news
Author: RKiding

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user n…

💰 Finance & Trading skills By RKiding Version v1.0.0 Added 2026-09-20 Updated 2026-09-20 Source ↗

7.8Overall rating

2Views

6Downloads

3.0kStars

Installation

🤖 Install via AI

Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.

Install the "alphaear-news" skill by following the instructions at https://skill123.me/install/alphaear-news.

⌨️ Command line install

Run in your terminal — downloads and installs to ~/.claude/skills/.

curl -fsSL https://skill123.me/install/alphaear-news.sh | bash

📦 Download ZIP

Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.

⬇ Download v1.0.0 · 10 KB

📊 Static rating

7.8/10

Trigger

5.5

Structure

8.7

Workflow

7.2

Content

9.0

Engineering

9.0

Security

9.0

Six-dimension rubric with reviewer rationale.

View scorecard ↓

🛡 Dynamic test

—

Not live-tested yet — this skill is rated on static analysis only.

About this skill

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.

AlphaEar News Skill

Documentation

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_ids (e.g., cls, weibo).
**Unified Report**: get_unified_trends(sources)
Aggregates top news from multiple sources.

### 2. Fetch Prediction Markets

Use scripts/news_tools.py via PolymarketTools.

**Market Summary**: get_market_summary(limit)
Returns a formatted report of active prediction markets.

Dependencies

requests, loguru
scripts/database_manager.py (Local DB)

Score breakdown

Trigger

5.5

What plus When clause naming source families (Weibo, Zhihu, WallstreetCN) and Polymarket prediction data; no When-Not; no trigger variants.

Structure

8.7

Small SKILL.md, one high-value reference (sources.md with a full source-ID table), single-purpose scripts, test included; no redundant files.

Workflow

7.2

Tool wrapper with per-source fetch, 5-minute in-memory cache, optional full-content extraction via Jina, unified trends aggregation, and Polymarket summaries; DB persistence of fetched news; init-only test (shallow).

Content

9.0

Concise; clear method signatures and defaults; no runnable CLI example; mostly Chinese docstrings with English SKILL.md.

Engineering

9.0

Valid frontmatter; deps (requests, loguru) declared and accurate; referenced paths (references/sources.md, scripts) all exist.

Security

9.0

Manifest: GET to newsnow.busiyi.world (aggregator behind the declared source list) and gamma-api.polymarket.com (declared); optional r.jina.ai content extraction gated by optional JINA_API_KEY env (minor undeclared egress); writes local sqlite daily_news table; spoofed Chrome User-Agent for scraping (minor). No injection, no hardcoded secrets, no persistence. Capabilities substantially match declared scope.

Focused, well-scoped news skill: NewsNow hot-news fetching with 5-min cache and a good sources.md reference table, unified multi-source trends, and Polymarket market summaries. Network destinations largely declared in description. Minor: r.jina.ai content-extraction egress (optional, key-gated) not mentioned in description; spoofed Chrome User-Agent; API-level usage only.

Assessment methodology

🧪

AI-assessed

Evaluated by automated analysis across quality, usability, and security dimensions. This is not a substitute for your own review — always inspect a skill before installing it.

Version history

v1.0.0 2026-09-20

10 KB

Imported from RKiding/Awesome-finance-skills@main

alphaear-news Checked

Installation

About this skill

AlphaEar News Skill

Documentation

AlphaEar News Skill

Overview

Capabilities

Dependencies

Score breakdown

Assessment methodology

Version history

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