Agent Skillsninehills/skills › alphaear-deepear-lite

alphaear-deepear-lite

GitHub

从DeepEar Lite平台获取最新金融信号、市场趋势分析及股票表现因素,提供实时数据源的摘要和置信度报告。

alphaear-deepear-lite/SKILL.md ninehills/skills

Trigger Scenarios

用户需要查询金融市场实时动态 用户希望分析股票表现驱动因素 用户请求获取DeepEar仪表盘的推理结论

Install

npx skills add ninehills/skills --skill alphaear-deepear-lite -g -y
More Options

Non-standard path

npx skills add https://github.com/ninehills/skills/tree/main/alphaear-deepear-lite -g -y

Use without installing

npx skills use ninehills/skills@alphaear-deepear-lite

指定 Agent (Claude Code)

npx skills add ninehills/skills --skill alphaear-deepear-lite -a claude-code -g -y

安装 repo 全部 skill

npx skills add ninehills/skills --all -g -y

预览 repo 内 skill

npx skills add ninehills/skills --list

SKILL.md

Frontmatter
{
    "name": "alphaear-deepear-lite",
    "description": "Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard."
}

DeepEar Lite Skill

Overview

Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.

Capabilities

1. Fetch Latest Financial Signals

Use scripts/deepear_lite.py via DeepEarLiteTools.

  • Fetch Signals: fetch_latest_signals()
    • Retrieves all latest signals from https://deepear.vercel.app/latest.json.
    • Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links.

Dependencies

  • requests, loguru
  • No local database required for this skill.

Testing

Run the test script to verify the connection and data fetching:

python scripts/deepear_lite.py

Version History

  • f3e82a7 Current 2026-07-25 11:11

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Metadata

Files
0
Version
f3e82a7
Hash
032ce1e4
Indexed
2026-07-25 11:11

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