Genpark Reviews Sentiment Agent Skill

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GenPark reviews sentiment analysis and pros/cons summarizer agent skill.

About

GenPark reviews sentiment analysis and pros/cons summarizer agent skill.

README

This repository contains the GenPark Reviews Sentiment Summarizer Skill — an agent configuration skill config (skill.json), a production-ready Python SDK client (sentiment_agent.py), and executable verification tests. It is designed to scan review logs, calculate positive vs negative indicator densities, and resolve pros/cons tags.

🚀 Capabilities

Keyword Density Audits: Scores sentiments using target lists.
Pros/Cons Extraction: Maps indicators directly to normalized lists.
Unified Metrics: Outputs general distributions ready for frontend visualization.

🛠️ Setup & Installation

Install dependencies:
```
pip install -r requirements.txt
```

💻 SDK Usage Reference

from sentiment_agent import ReviewsSentimentClient

client = ReviewsSentimentClient()

summary = client.summarize_reviews(["This is great!"])
print(summary["sentiment_distribution"])

📜 License

This project is licensed under the MIT License.

from github.com/alphaparkinc/genpark-reviews-sentiment-agent-skill

Installing Genpark Reviews Sentiment Agent Skill

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/alphaparkinc/genpark-reviews-sentiment-agent-skill

FAQ

Is Genpark Reviews Sentiment Agent Skill MCP free?

Yes, Genpark Reviews Sentiment Agent Skill MCP is free — one-click install via Unyly at no cost.

Does Genpark Reviews Sentiment Agent Skill need an API key?

No, Genpark Reviews Sentiment Agent Skill runs without API keys or environment variables.

Is Genpark Reviews Sentiment Agent Skill hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Genpark Reviews Sentiment Agent Skill in Claude Desktop, Claude Code or Cursor?

Open Genpark Reviews Sentiment Agent Skill on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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