# expanso-sentiment-score

> expanso-sentiment-score — aronchick-expanso-sentiment-score. Use this tool when you need to analyze text sentiment, as it scores input text from -1 (negative) to +1 (positive), helping to solve problems like opinion mining, customer feedback analysis, and emotional tone detection, with simple text input and a numerical sentiment score output. It is ideal for use cases where understanding the emotional tone of text is crucial, such as social media monitoring or review analysis. This tool provides a straightforward interface for sentiment analysis, making it easy to integrate into various applications.

Canonical page: https://skillsregistry.net/skills/aronchick-expanso-sentiment-score  
JSON: https://api.skillsregistry.net/v1/skills/aronchick-expanso-sentiment-score

## Description

"Score text sentiment from -1 (negative) to +1 (positive)".

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/aronchick-expanso-sentiment-score)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aronchick-expanso-sentiment-score"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aronchick-expanso-sentiment-score` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aronchick-expanso-sentiment-score/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt