據 AlphaMoat 統計,截至 2026-09,expanso 累計下載 3,317 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 3,408 位,在「資料分析」分類(399 個)中排名第 255 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 105 | 3317 | - | - |
| SkillHub ↗ | 105 | 3301 | - | — |
各平台的計數口徑不同,統計時間不一致。
文件說明由 Expanso Cloud 協調部署到 Edge 節點,並列出建立雲端組織、安裝執行元件、配置 bootstrap URL/token 和釋出管線等步驟。資料處理在本地 Edge 執行,但部署依賴雲端控制面與憑據;不可據此斷言所有資料或後設資料都不會離開裝置。 審查遠端安裝指令碼,優先使用已驗證固定版本的包,並保護 bootstrap 令牌。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3317 | — | - |
| 2026-08 | 3202 | +4.6% | - |
| 2026-07 | 3062 | +9.8% | - |
| 2026-06 | 2789 | +5.8% | - |
| 2026-05 | 2635 | — | - |
| 2026-03 | 2036 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: expanso
description: Data processing pipelines for OpenClaw. Deploy skills from the Expanso marketplace to transform, analyze, and process data locally.
homepage: https://skills.expanso.io
emoji: "⚡"
metadata:
clawdis:
always: false
primaryEnv: EXPANSO_EDGE_BOOTSTRAP_TOKEN
requires: bins:
- curl
env:
- EXPANSO_EDGE_BOOTSTRAP_URL
- EXPANSO_EDGE_BOOTSTRAP_TOKEN
install:
- curl -fsSL https://get.expanso.io/edge/install.sh | bash
- curl -fsSL https://get.expanso.io/cli/install.sh | sh
config:
requiredEnv:
- name: EXPANSO_EDGE_BOOTSTRAP_URL
description: Bootstrap URL from Expanso Cloud (e.g., https://start.cloud.expanso.io)
- name: EXPANSO_EDGE_BOOTSTRAP_TOKEN
description: Bootstrap token from Expanso Cloud Settings → Edge Nodes
---
# Expanso Skills for OpenClaw
Deploy data processing pipelines to your local Expanso Edge. Skills run locally, keeping credentials secure and enabling offline operation.
## What is Expanso?
- **Expanso Edge** — Local runtime that executes pipelines on your machine
- **Expanso Cloud** — Orchestrates and deploys pipelines to your Edge nodes
- **Expanso Skills** — Pre-built pipelines for common data tasks
## Setup
### 1. Create an Expanso Cloud account
1. Go to [cloud.expanso.io](https://cloud.expanso.io) and sign up
2. Create a new organization (or use an existing one)
3. Note your **Cloud Endpoint URL** (e.g., `https://abc123.us1.cloud.expanso.io`)
### 2. Install the tools
```bash
# Install Expanso Edge (local runtime)
curl -fsSL https://get.expanso.io/edge/install.sh | bash
# Install Expanso CLI (deploy to cloud)
curl -fsSL https://get.expanso.io/cli/install.sh | sh
```
### 3. Get a Bootstrap Token
1. In Expanso Cloud, go to **Settings → Edge Nodes**
2. Click **"Add Edge Node"**
3. Copy the **Bootstrap URL** and **Bootstrap Token**
### 4. Connect your Edge to the Cloud
```bash
# Set the bootstrap URL and token from Expanso Cloud
export EXPANSO_EDGE_BOOTSTRAP_URL="https://start.cloud.expanso.io"
export EXPANSO_EDGE_BOOTSTRAP_TOKEN="your-token-from-cloud"
# Start Edge (it will register automatically)
expanso-edge
```
This connects your local Edge node to your Expanso Cloud organization. Your Edge will now receive pipeline deployments from the cloud.
### 5. Deploy a skill
```bash
# Browse skills at https://skills.expanso.io
# Then deploy one:
expanso-cli job deploy https://skills.expanso.io/text-summarize/pipeline-cli.yaml
```
The pipeline will be deployed through Expanso Cloud to your local Edge node.
## Available Skills
Browse 172+ skills at **[skills.expanso.io](https://skills.expanso.io)**:
| Category | Examples |
|----------|----------|
| **AI** | text-summarize, image-describe, audio-transcribe |
| **Security** | pii-redact, secrets-scan, hash-digest |
| **Transforms** | json-pretty, csv-to-json, array-filter |
| **Utilities** | uuid-generate, email-validate, mime-type |
## Example: PII Redaction
Ask OpenClaw to redact sensitive data:
> "Redact the PII from this customer feedback"
OpenClaw will use the `pii-redact` skill running on your local Expanso Edge to process the data — your API keys and data never leave your machine.
## How It Works
```
┌─────────────┐ ┌───────────────┐ ┌──────────────┐
│ OpenClaw │────▶│ Expanso Edge │────▶│ Your Data │
│ (asks) │ │ (processes) │ │ (stays local)│
└─────────────┘ └───────────────┘ └──────────────┘
│
┌──────┴──────┐
│Expanso Cloud│
│(orchestrates)│
└─────────────┘
```
## Resources
- [Skills Marketplace](https://skills.expanso.io) — Browse and deploy skills
- [Expanso Cloud](https://cloud.expanso.io) — Manage your Edge nodes
- [Documentation](https://docs.expanso.io) — Full guides and API reference
- [GitHub](https://github.com/expanso-io/expanso-skills) — Skill source code
AdMapix 的取數層:把廣告與應用相關的查詢轉成介面呼叫,只回原始 JSON。
透過 Tavily 搜尋公開網頁,並回傳含連結與摘要的結構化結果。
把資料庫、表格與匯出的原始資料變成可決策結論的資料分析技能。
用 Yahoo Finance 資料做股票與加密貨幣分析、組合跟蹤的技能。
管理本地自選股清單,並按代碼彙總同花順行情與近期表現的技能。
知了標訊:查詢和分析招標、中標、供應商與採購市場資訊。
用命令列監控部落格與 RSS/Atom 源的更新。
彙總 Codex 或 Claude 按模型計費的使用成本。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。