Sentiment Score

Analyze text sentiment on a scale from -1 (negative) to +1 (positive) using Expanso Edge pipelines.

This skill appears to do what it claims (sentiment scoring via Expanso pipelines) but there are important mismatches you should address before using it: (1) The SKILL.md and pipeline YAML require the expanso-edge binary and an OPENAI_API_KEY, but the registry metadata omitted those requirements — confirm you can and should install expanso-edge and supply an OpenAI key. (2) The service will send any input text to OpenAI; do not pass secrets, PII, or sensitive documents unless you accept that external transmission and any associated billing. (3) The MCP mode listens on 0.0.0.0 by default — only run that behind appropriate network controls. (4) The SKILL.md suggests deploying to skills.expanso.io — deploying to a third-party cloud will transfer the pipeline; review the pipeline files and trust boundaries before uploading. If you want to proceed, verify the expanso-edge/clawhub sources, explicitly set and scope OPENAI_API_KEY, and test locally with non-sensitive inputs first.

Type: OpenClaw Skill Name: sentiment-score Version: 1.0.1 The skill is designed for sentiment analysis using an LLM, as described in `SKILL.md` and `README.md`. It uses `OPENAI_API_KEY` from environment variables for authentication with OpenAI, which is a standard security practice. The `pipeline-cli.yaml` and `pipeline-mcp.yaml` files construct prompts to send user input to the LLM and parse its JSON response. There is no evidence of intentional harmful behavior such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts against the OpenClaw agent itself. While passing user input directly to an LLM can introduce prompt injection vulnerabilities against the LLM, this is an inherent risk of LLM applications and not indicative of malicious intent by the skill developer in this context.