alphaear-deepear-lite
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite.
Skill by RKiding
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/rkiding-alphaear-deepear-lite
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 2
codeload.github.com· found in install commanddeepear.vercel.app· found in code
Files it touches
~/.claude/skills/alphaear-deepear-lite
What's inside
- Skill 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.
- License
- Apache-2.0
- Instructions
- 29 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- deepear_lite.py · scripts/
SKILL.md (first lines)
# 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:
```bash
python scripts/deepear_lite.py
```From RKiding/Awesome-finance-skills, Apache-2.0.
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Signals
- Stars
- 3,084
- Forks
- 383
- Open issues
- 0
- Last commit (this folder)
- Mar 28, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
alphaear-deepear-lite skill. Agent Mart. https://agentmart.dev/skills/rkiding-alphaear-deepear-lite (last updated 2026-10-24)