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Skillshub alphaear-deepear-lite

DeepEar Lite Skill

install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/RKiding/Awesome-finance-skills/alphaear-deepear-lite" ~/.claude/skills/comeonoliver-skillshub-alphaear-deepear-lite && rm -rf "$T"
manifest: skills/RKiding/Awesome-finance-skills/alphaear-deepear-lite/SKILL.md
source content

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