Analyze text and return a sentiment score from -1 (negative) to +1 (positive) using Expanso Edge.

This skill appears to do what it says (sentiment scoring) and contains only pipeline YAMLs. Before installing/running: 1) Be aware that running either pipeline will send submitted text to OpenAI (ensure you are allowed to transmit that data and consider redacting PII or using a local backend). 2) If you will run the MCP pipeline, it binds to 0.0.0.0 by default—limit exposure (use a firewall, bind to localhost, or set PORT appropriately). 3) The pipelines reference OPENAI_API_KEY but the skill metadata marks it optional — set the API key if you intend to use OpenAI, or configure the local ollama backend instead. 4) Review and verify the expanso-edge / clawhub install sources before installing external binaries. If you want, I can point out exactly where to change the pipeline to avoid sending text to OpenAI (e.g., swap to a local model) or how to run the MCP endpoint safely behind a reverse proxy.

Type: OpenClaw Skill Name: expanso-sentiment-score Version: 1.0.0 The skill bundle is benign. Its primary function is to score text sentiment using an OpenAI LLM, as clearly stated in `SKILL.md` and `README.md`. The `pipeline-cli.yaml` and `pipeline-mcp.yaml` files define the LLM prompts, which are focused on sentiment analysis and do not contain any malicious instructions or prompt injection attempts against the LLM or the OpenClaw agent. Credentials (`OPENAI_API_KEY`) are handled via environment variables, which is a standard and secure practice. There is no evidence of data exfiltration, unauthorized execution, persistence mechanisms, or other malicious behaviors.