sentiment-score
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Setup & Installation
Install command
clawhub install aronchick/sentiment-scoreIf the CLI is not installed:
Install command
npx clawhub@latest install aronchick/sentiment-scoreOr install with OpenClaw CLI:
Install command
openclaw skills install aronchick/sentiment-scoreor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/aronchick/sentiment-scoreWhat 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.
User asks: Scoring customer support tickets before routing to agents
- 1Scoring customer support tickets before routing to agents
- 2Analyzing product review sentiment in bulk
- 3Flagging negative social media mentions for manual review
- 4Evaluating open-ended survey responses for mood trends
- 5Checking email or message tone before sending
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Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.