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 · 688 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：可疑
Package：aronchick/expanso-keyword-extract
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：可疑
OpenClaw 评估
The skill appears to do what it says (extract keywords) but has a few incoherencies and privacy/operational risks you should understand before installing.
目的
The declared purpose (keyword extraction) matches the provided pipelines and files. However, skill.yaml lists OPENAI_API_KEY as optional while both pipeline-cli.yaml and pipeline-mcp.yaml clearly require and use OPENAI_API_KEY for OpenAI completions. The skill also advertises local Ollama backends in metadata but the provided pipelines use the OpenAI processor. The mismatch between declared required credentials and the actual pipelines is an i…
说明范围
The SKILL.md and the pipelines instruct expanso-edge to: compute sha256(input) and other metadata, send the input text to OpenAI via openai_chat_completion, and (in MCP mode) listen on 0.0.0.0:${PORT} which exposes an HTTP endpoint if you run it. The skill logs trace_id and includes input_hash/input_length in outputs. Sending raw text to an external LLM and creating hashes of inputs are privacy-sensitive behaviors that are not highlighted in s…
安装机制
This is an instruction-only skill with no install spec or code to write to disk. That lowers install-time risk. It does require the expanso-edge binary to be present (documented).
证书
Pipelines require OPENAI_API_KEY to function, but the skill metadata marks it as not required. No other credentials are requested. The skill also supports MAX_KEYWORDS via env and uses OPENAI_API_KEY in cleartext substitution in pipeline files — ensure you supply a key you trust and understand that the key will be used to send your text to OpenAI. The optional listing of local Ollama models is not enforced by the pipelines and could be mislead…
持久
The skill does not request always:true, does not modify other skills' configs, and has no install step that persists additional privileged components. Running MCP mode will run a server but that is explicit in the docs.
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 keyword-extract」。简介：Extract keywords and key phrases from text using Expanso Edge for SEO, tagging,…。
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-keyword-extract/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# keyword-extract
"Extract keywords and key phrases from text for SEO, tagging, and indexing"
## 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/keyword-extract/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 |