expanso-sentiment-score
CLI Utilities
v1.0.0
Benign\
621 downloads621 installsby @aronchick
Setup & Installation
Install command
clawhub install aronchick/expanso-sentiment-scoreIf the CLI is not installed:
Install command
npx clawhub@latest install aronchick/expanso-sentiment-scoreOr install with OpenClaw CLI:
Install command
openclaw skills install aronchick/expanso-sentiment-scoreor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/aronchick/expanso-sentiment-scoreWhat 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
- 1Scoring customer support tickets by emotional tone
- 2Flagging negative product reviews automatically
- 3Analyzing social media comments for brand sentiment
- 4Routing escalations based on message negativity
- 5Monitoring chat logs for shifts in user mood
OUTPUT
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Security Audits
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