Cloud-Local Bridge — 技能 — openclaw中文资讯站

技能详情（站内镜像，无评论）

实现云端 OpenClaw 与本地 OpenClaw 之间的双向通信桥接。支持自然语言配对、命令执行、文件同步。

通信与消息

作者：默水 @84191879

许可证：MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本：v1.0.1

统计：⭐ 0 · 326 · 2 current installs · 2 all-time installs

⭐ 0

安装量（当前） 2

🛡 VirusTotal ：可疑 · OpenClaw ：可疑

Package：84191879/cloud-local-bridge

安全扫描（ClawHub）

VirusTotal ：可疑
OpenClaw ：可疑

OpenClaw 评估

功能与描述大体一致, 但代码 exposes powerful capabilities (remote shell execution, arbitrary file read/write, and outbound callbacks) and includes pairing flows that can leak tokens — these require explicit trust and careful deployment.

目的

The name/description (bridge between cloud and local, pairing, command exec, file sync) matches the included code: server, client, pairing, sync and installer. Asking the user to run a local server with a token is coherent. However some implemented behaviors (automatic sharing of server+token during pairing, ability to read arbitrary local paths, and sending results to arbitrary callback URLs) are more powerful than the simple 'pairing' UX imp…

说明范围

SKILL.md instructs running the local server and examples show cloud-side scripts calling /execute and /file. The runtime code allows arbitrary shell commands (subprocess.run with shell=True), arbitrary file reads/writes/uploads/downloads, and will POST callbacks to attacker-controlled URLs (reply_to). The pairing handlers also automatically include the local server URL and token in pairing messages/state, which can leak credentials out-of-band…

安装机制

There is no registry install spec, but an included installer script will pip-install 'requests' and 'psutil' (typical PyPI packages). Using pip in the installer is expected for a Python skill, but installing packages without cryptographic verification is moderate risk. The installer also auto-generates tokens and writes config files in the user home. No remote binary downloads or obscure URLs were found.

证书

The skill requests no external environment variables or cloud credentials in metadata, which is proportionate. However the code creates and stores tokens/configs in ~/.openclaw and the pairing flow can expose those tokens to other parties (the QQ/qq_handler and pairing_core propagate server/token into pairing state and messages). The skill itself does not ask for unrelated credentials, but it does enable automatic disclosure of the local token…

持久

always is false and the skill does not request system-wide privileges. It writes config and state into ~/.openclaw (persistent presence). Combined with autonomous invocation (platform default), the skill could be invoked to execute remote commands and access files; while this aligns with its purpose, it increases blast radius and requires the user to limit where the service runs and who receives pairing codes/tokens.

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「Cloud-Local Bridge」。简介：实现云端 OpenClaw 与本地 OpenClaw 之间的双向通信桥接。支持自然语言配对、命令执行、文件同步。。
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/84191879/cloud-local-bridge/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: cloud-local-bridge
description: 实现云端 OpenClaw 与本地 OpenClaw 之间的双向通信桥接。支持自然语言配对、命令执行、文件同步。
---

# Cloud-Local Bridge

让云端和本地 OpenClaw 实例无缝协同，支持**自然语言配对**、**文件互通**、**命令远程执行**。

## 核心特性

✅ **自然语言配对** - 不用记指令，像聊天一样说"我想连接云端"
✅ **跨通道配对** - QQ/微信/Telegram/邮件都能完成配对
✅ **2步完成** - 像添加微信好友一样简单

## ⚡ 自然语言配对

### 直接发送自然语言

| 你发送 | 机器人回应 |
|--------|-----------|
| `配对` | 收到配对码 |
| `我想连接云端` | 收到配对码 |
| `添加设备` | 收到配对码 |
| `配对 847291` | 配对成功 |
| `查看配对` | 显示已连接设备 |
| `帮助配对` | 显示帮助 |

### 支持的自然语言

**发起配对：**
- `配对`、`我要配对`、`想配对`
- `连接`、`连接云端`、`连接本地`
- `添加设备`、`添加云端`、`添加好友`
- `关联设备`、`互相关联`
- `pair`、`connect`

**确认配对：**
- `配对 123456`

**查看状态：**
- `查看配对`、`配对状态`
- `我的设备`、`设备列表`

**取消：**
- `取消配对`、`删除设备`

## 📱 配对流程

```
用户 A（本地）                    用户 B（云端）
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. 发送「我想连接云端」          (等待)
   ↓
2. 收到配对码: 847291
   ↓
3. 发送配给 B                  (接收配对码)
   ↓                          4. B 发送「配对 847291」
                                   ↓
5. ✅ 配对成功!                ✅ 配对成功!
```

## 🚀 快速启动

```bash
cd /root/.openclaw/workspace/skills/cloud-local-bridge/scripts

# 启动 Bridge 服务
python3 bridge_server.py --port 8080 --token "xxx"
```

## 🔧 组件说明

| 文件 | 说明 |
|------|------|
| `qq_handler.py` | 自然语言配对处理器 |
| `bridge_server.py` | Bridge 服务端 |
| `bridge_client.py` | Bridge 客户端 |
| `sync_files.py` | 文件同步 |

## 💡 使用场景

### 场景1：QQ 配对

```
你：我想连接云端
机器人：📱 发起配对成功！配对码：847291

（你把配对码发给云端用户）

云端用户：配对 847291
机器人：🎉 配对成功！已连接本地电脑
```

### 场景2：跨平台配对

```
本地（QQ）：配对 → 收到 582391 → 通过 QQ 发送给云端
云端（Telegram）：发送配对请求到 API → 配对成功
```

## 📁 文件结构

```
cloud-local-bridge/
├── SKILL.md
├── scripts/
│   ├── qq_handler.py        # 🆕 自然语言处理器
│   ├── bridge_server.py     # 服务端
│   ├── bridge_client.py    # 客户端
│   └── sync_files.py       # 文件同步
└── references/
    └── EXAMPLES.md
```

## ⚠️ 注意事项

- 配对码 10 分钟后过期
- 配对状态保存在 `~/.openclaw/bridge_pairing_state.json`
- 确保网络互通