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Alphaear deepear lite

Skill RKiding/Awesome-finance-skills/skills/alphaear-deepear-lite

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.From its SKILL.md

Install
npx -y skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • runs commandsInstructs the agent to run 1 command, including `python scripts/deepear_lite.py`.
  • fetches URLsInstructs the agent to fetch 1 URL, including https://deepear.vercel.app/latest.json.

SKILL.md

1.0 KB, 171 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 1 file

2.6 KB alongside SKILL.md, 1 of them executable

scripts/

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