Sentiment Score

What This Skill Does

The Sentiment Score skill, developed by aronchick, provides a lightweight yet powerful mechanism for evaluating the emotional tone of textual content. By processing input strings, the skill returns a numerical value between -1 and +1. A score of -1 indicates highly negative sentiment, 0 represents a neutral tone, and +1 indicates a highly positive sentiment. This tool acts as a bridge between raw unstructured text and quantitative data, allowing users to programmatically categorize customer feedback, monitor social media trends, or filter communications based on their emotional impact. By utilizing the Expanso Edge framework, it ensures that sentiment analysis can be performed locally or via piped pipelines without requiring external SaaS dependencies for every request.

Installation

To integrate this skill into your environment, ensure that the expanso-edge binary is accessible in your system PATH. Once the prerequisite is confirmed, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aronchick/sentiment-score

This will pull the necessary pipeline definitions from the official repository. You can verify the installation by checking your local skill library or by attempting to run the CLI pipeline provided in the repository files.

Use Cases

• Customer Support Automation: Automatically tag incoming support tickets by sentiment to prioritize irate customers for immediate human intervention.
• Social Media Monitoring: Analyze large datasets of tweets or forum comments to gauge general public reaction to a new product launch or service update.
• Feedback Aggregation: Use the MCP pipeline to process batches of user reviews and calculate an average sentiment score for your product over time.
• Content Moderation: Identify highly negative or aggressive language within chat logs to trigger automated flagging for review.

Example Prompts

1. "Analyze the sentiment of this feedback: 'The application is extremely buggy and crashes every time I try to save my progress, I am very disappointed.'"
2. "Check the sentiment score for these recent customer reviews: [List of reviews] and give me a summary of the customer satisfaction level."
3. "Is the tone of this email thread positive or negative? Please run it through the sentiment score tool and interpret the result for me."

Tips & Limitations

While the Sentiment Score skill is highly efficient, remember that it is a quantitative tool. It is excellent at catching overt sentiment but may struggle with nuances like sarcasm, irony, or complex cultural metaphors. For critical business decisions, treat these scores as indicators rather than definitive truth. Ensure your input text is clean and stripped of unnecessary boilerplate code or non-textual data for the most accurate results. If you are handling sensitive information, remember that this skill processes text as part of its pipeline; monitor the privacy implications of the data being routed through your specific expanso-edge configuration.