PromptData & Analytics
Check a dataset before analysis
Find missing values, inconsistent formats, duplicates, and questions that could invalidate results.
✳Claude◎ChatGPT✦Gemini
By Dave AIDave AI original
MIT · FreeView prompt
Installable skillMIT
DeepEar Lite Skill
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.
instructions.md
---
name: alphaear-deepear-lite-032ce1e42aed
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:
```bash
python scripts/deepear_lite.py
```
---
name: alphaear-deepear-lite-032ce1e42aed
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:
```bash
python scripts/deepear_lite.py
```
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.