Individual skill
alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
skills/alphaear-sentiment/SKILL.md
Source commit 853f09b4d0baae747759ed31e21ed5c5b2316a5f
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- Not checked yet
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,116
- Repository last updated
- Mar 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- agent-skills Repository topic
- finances Repository topic
- fintech Repository topic
- finance Derived category
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Browse files
SKILL.mdcore · 2,056 bytesscripts/__init__.pyruns · 0 bytesscripts/database_manager.pyruns · 21,840 bytesscripts/llm/capability.pyruns · 2,862 bytesscripts/llm/factory.pyruns · 3,717 bytesscripts/llm/router.pyruns · 2,878 bytesscripts/sentiment_tools.pyruns · 8,486 bytestests/test_sentiment.pyruns · 743 bytes
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# AlphaEar Sentiment Skill
## Overview
This skill provides sentiment analysis capabilities tailored for financial texts, supporting both FinBERT (local model) and LLM-based analysis modes.
## Capabilities
## Capabilities
### 1. Analyze Sentiment (FinBERT / Local)
Use `scripts/sentiment_tools.py` for high-speed, local sentiment analysis using FinBERT.
