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This entry duplicates alphaear-sentiment, which is the one we list in search.

alphaear-sentiment

Analyze finance text sentiment using FinBERT or LLM.

Skill by nlhm

IndexedLicense unknown
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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/nlhm-alphaear-sentiment

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

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.

Use cases: ml, finance

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What's inside

Skill name
alphaear-sentiment
Description
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.
License
unknown
Instructions
54 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (8)

  • SKILL.md
  • __init__.py · scripts/
  • database_manager.py · scripts/
  • capability.py · scripts/llm/
  • factory.py · scripts/llm/
  • router.py · scripts/llm/
  • sentiment_tools.py · scripts/
  • test_sentiment.py · tests/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

Signals

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Last commit (this folder)
Aug 25, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

Cite this page

alphaear-sentiment skill. Agent Mart. https://agentmart.dev/skills/nlhm-alphaear-sentiment (last updated 2026-10-24)