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 · 671 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：aronchick/expanso-text-summarize
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill appears to implement a simple local-text summarizer, but there are inconsistencies between the declared requirements/metadata and the runtime instructions (notably around the OPENAI_API_KEY and deployment), so you should review before installing.
目的
The skill's stated purpose (text summarization) matches the pipelines and files. However, the registry metadata claims no required environment variables while the pipelines and README clearly reference an OPENAI_API_KEY (unless using Ollama). That mismatch between declared requirements and actual runtime needs is an incoherence that should be resolved before trusting the skill.
说明范围
The SKILL.md and pipeline YAMLs stay within the summarization scope: they read input, compute hashes for audit, call an LLM backend, format output, and log. Things to note: (1) MCP mode starts an HTTP server bound to 0.0.0.0:${PORT}, which exposes an endpoint that will accept text to summarize — ensure you understand network exposure; (2) README and SKILL.md offer a 'deploy to Expanso Cloud' command that would send the pipeline to an external …
安装机制
This is instruction-only (no install spec or code files to execute). It requires the expanso-edge binary to be present; the README suggests installing via `clawhub install expanso-edge`. No archives or remote downloads are embedded in the skill package itself.
证书
The runtime expects OPENAI_API_KEY (and optionally PORT), and skill.yaml lists OPENAI_API_KEY as a credential (marked not required if using Ollama). But the registry metadata lists no required env vars — an inconsistency. Requesting an API key for the LLM backend is reasonable for this skill, but it should be declared consistently in the registry metadata and install/instructions. Also note: if you run in MCP mode, callers can send arbitrary t…
持久
The skill does not request permanent presence (always:false) and does not modify other skills or system configs. Running an MCP server binds a port (potential network exposure), but that is within the expected behavior for an HTTP-backed pipeline.
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 text-summarize」。简介：Summarize input text into 3-5 concise bullet points using AI with Expanso Edge.。
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-text-summarize/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# text-summarize
Summarize text into 3-5 bullet points using AI
## 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/text-summarize/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 |