技能详情（站内镜像，无评论）
作者：Expanso @aronchick
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 676 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aronchick/expanso-sentiment-score
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files and instructions match its stated purpose (scoring sentiment) and there are no hidden install steps or unrelated credentials, but it will send user text to OpenAI and has a small mismatch around the OPENAI_API_KEY being referenced without being required — review data-sensitivity and deployment choices before use.
目的
The name/description and pipeline files implement a sentiment scoring pipeline that calls an LLM and returns score/label/confidence. The included files (pipeline-cli.yaml, pipeline-mcp.yaml, skill.yaml) align with the stated purpose.
说明范围
Runtime instructions are limited to running expanso-edge with the provided pipeline YAMLs or deploying to Expanso Cloud. The pipelines construct an LLM prompt and send user text to an OpenAI chat completion; they do not read arbitrary system files or request unrelated environment variables. The MCP pipeline opens an HTTP endpoint (0.0.0.0:${PORT:-8080}) which will expose the /score POST endpoint if you run it.
安装机制
This is an instruction-only skill with no install spec and no downloaded code. The SKILL.md asks that expanso-edge be installed via clawhub, but that is external to the skill bundle. There are no archives or remote download URLs in the manifest.
证书
Both pipeline YAMLs reference ${OPENAI_API_KEY}, but the registry metadata lists no required env vars and skill.yaml marks OPENAI_API_KEY as required: false. That mismatch is potentially confusing: if you run these pipelines without an API key they will fail or you may unintentionally use a remote backend. Also note the pipeline will send user-provided text to OpenAI (data exfiltration risk for sensitive content).
持久
The skill does not request always: true, has no special persistence, and doesn't alter other skill configs. It is user-invocable and can be run/hosted by the user; MCP mode will bind to a network port if you run it.
综合结论
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) Th…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Expanso sentiment-score」。简介：Analyze text and return a sentiment score from -1 (negative) to +1 (positive) u…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aronchick/expanso-sentiment-score/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# 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 |