mcpbeat

Alphaear Deepear Lite

rkiding/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.

934 tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
2747
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/RKiding/Awesome-finance-skills --skill alphaear-deepear-lite

The instruction itself

6 sections, as written by the author

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

How to use it

Copy the folder

Take rkiding/alphaear-deepear-lite from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.