sentiment-score

CLI Utilities
v1.0.1
Benign

\

462 downloads462 installsby @aronchick

Setup & Installation

Install command

clawhub install aronchick/sentiment-score

If the CLI is not installed:

Install command

npx clawhub@latest install aronchick/sentiment-score

Or install with OpenClaw CLI:

Install command

openclaw skills install aronchick/sentiment-score

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/aronchick/sentiment-score

What This Skill Does

Scores the sentiment of any text input on a continuous scale from -1 (most negative) to +1 (most positive). Runs as a standalone CLI pipeline or as an MCP server via Expanso Edge. Can be deployed to Expanso Cloud for persistent job execution.

The dual CLI and MCP server modes let you drop sentiment scoring into both scripted pipelines and agent workflows without writing custom NLP code.

When to Use It

  • Scoring customer support tickets before routing to agents
  • Analyzing product review sentiment in bulk
  • Flagging negative social media mentions for manual review
  • Evaluating open-ended survey responses for mood trends
  • Checking email or message tone before sending
View original SKILL.md file
# sentiment-score

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

## Requirements

- Expanso Edge installed (`expanso-edge` binary in PATH)
- Install via: `clawhub install expanso-edge`

## Usage

### CLI Pipeline
```bash
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
```

### MCP Pipeline
```bash
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
```

### Deploy to Expanso Cloud
```bash
expanso-cli job deploy https://skills.expanso.io/sentiment-score/pipeline-cli.yaml
```

## Files

| File | Purpose |
|------|---------|
| `skill.yaml` | Skill metadata (inputs, outputs, credentials) |
| `pipeline-cli.yaml` | Standalone CLI pipeline |
| `pipeline-mcp.yaml` | MCP server pipeline |

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Scoring customer support tickets before routing to agents

AGENT
  1. 1Scoring customer support tickets before routing to agents
  2. 2Analyzing product review sentiment in bulk
  3. 3Flagging negative social media mentions for manual review
  4. 4Evaluating open-ended survey responses for mood trends
  5. 5Checking email or message tone before sending
OUTPUT
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Details

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Last updatedFeb 25, 2026