expanso-sentiment-score

CLI Utilities
v1.0.0
Benign

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621 downloads621 installsby @aronchick

Setup & Installation

Install command

clawhub install aronchick/expanso-sentiment-score

If the CLI is not installed:

Install command

npx clawhub@latest install aronchick/expanso-sentiment-score

Or install with OpenClaw CLI:

Install command

openclaw skills install aronchick/expanso-sentiment-score

or paste the repo link into your assistant's chat

Install command

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

What This Skill Does

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

Runs locally via Expanso Edge, so text is never sent to a third-party NLP API.

When to Use It

  • Scoring customer support tickets by emotional tone
  • Flagging negative product reviews automatically
  • Analyzing social media comments for brand sentiment
  • Routing escalations based on message negativity
  • Monitoring chat logs for shifts in user mood
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 by emotional tone

AGENT
  1. 1Scoring customer support tickets by emotional tone
  2. 2Flagging negative product reviews automatically
  3. 3Analyzing social media comments for brand sentiment
  4. 4Routing escalations based on message negativity
  5. 5Monitoring chat logs for shifts in user mood
OUTPUT
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Details

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Last updatedFeb 26, 2026