DOWingard

Agent Zero Bridge

AI 智能体v1.0.0
作者:DOWingard更新于 2026-05-18agent-zero-bridge@clawhub_dowingard/agent-zero-bridge
Agent 框架任务自动化工作流编排#Coding

据 AlphaMoat 统计,截至 2026-09,Agent Zero Bridge 累计下载 4,165 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 2,412 位,在「AI 智能体」分类(969 个)中排名第 472 位。

累计安装
134
累计下载
4,165
星标
4
全站排名
#2,412
全站前 48% · 「AI 智能体」前 49%
平台累计安装累计下载星标评论
ClawHub ↗1344,12242
SkillHub ↗1324,1654—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该桥接支持委派长时间运行的开发或研究任务、拆分任务、附加文件,并从 Agent Zero 回传进度或调用 Clawdbot 工具。

资料发布于 2026-10-29

可以用来做什么

  • 适合需要把复杂任务委派给 Agent Zero,同时保留 Clawdbot 进度沟通能力的用户。

什么时候用

  • 使用专用低权限令牌,限制 Agent Zero 可调用的工具;逐项检查附件,避免发送秘密或受监管数据。不要将 Gateway 暴露到未受保护的网络。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

请把这个非敏感研究任务拆分给 Agent Zero,先列出将发送的提示和附件,并在发送前等待我确认。

月度数据趋势

累计下载4,165
3,3033,7664,2292026-05 · 累计下载 3,3672026-07 · 累计下载 3,8332026-08 · 累计下载 3,9832026-09 · 累计下载 4,16526-0526-09
星标4
3452026-05 · 星标 42026-07 · 星标 42026-08 · 星标 42026-09 · 星标 426-0526-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,165—4
2026-083,983+3.9%4
2026-073,833—4
2026-053,367—4

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

3.7 KB · ClawHub v1.0.0
---
name: agent-zero-bridge
description: Delegate complex coding, research, or autonomous tasks to Agent Zero framework. Use when user says "ask Agent Zero", "delegate to A0", "have Agent Zero build", or needs long-running autonomous coding with self-correction loops. Supports bidirectional communication, file attachments, task breakdown, and progress reporting.
---

# Agent Zero Bridge

Bidirectional communication between Clawdbot and [Agent Zero](https://github.com/frdel/agent-zero).

## When to Use
展开全部(共 123 行)

- Complex coding tasks requiring iteration/self-correction
- Long-running builds, tests, or infrastructure work
- Tasks needing persistent Docker execution environment
- Research with many sequential tool calls
- User explicitly asks for Agent Zero

## Setup (First Time Only)

### 1. Prerequisites
- Node.js 18+ (for built-in fetch)
- Agent Zero running (Docker recommended, port 50001)
- Clawdbot Gateway with HTTP endpoints enabled

### 2. Install
```bash
# Copy skill to Clawdbot skills directory
cp -r <this-skill-folder> ~/.clawdbot/skills/agent-zero-bridge

# Create config from template
cd ~/.clawdbot/skills/agent-zero-bridge
cp .env.example .env
```

### 3. Configure .env
```env
# Agent Zero (get token from A0 settings or calculate from runtime ID)
A0_API_URL=http://127.0.0.1:50001
A0_API_KEY=your_agent_zero_token

# Clawdbot Gateway
CLAWDBOT_API_URL=http://127.0.0.1:18789
CLAWDBOT_API_TOKEN=your_gateway_token

# For Docker containers reaching host (use your machine's LAN IP)
CLAWDBOT_API_URL_DOCKER=http://192.168.1.x:18789
```

### 4. Get Agent Zero Token
```python
# Calculate from A0's runtime ID
import hashlib, base64
runtime_id = "your_A0_PERSISTENT_RUNTIME_ID"  # from A0's .env
hash_bytes = hashlib.sha256(f"{runtime_id}::".encode()).digest()
token = base64.urlsafe_b64encode(hash_bytes).decode().replace("=", "")[:16]
print(token)
```

### 5. Enable Clawdbot Gateway Endpoints
Add to `~/.clawdbot/clawdbot.json`:
```json
{
  "gateway": {
    "bind": "0.0.0.0",
    "auth": { "mode": "token", "token": "your_token" },
    "http": { "endpoints": { "chatCompletions": { "enabled": true } } }
  }
}
```
Then: `clawdbot gateway restart`

### 6. Deploy Client to Agent Zero Container
```bash
docker exec <container> mkdir -p /a0/bridge/lib
docker cp scripts/lib/. <container>:/a0/bridge/lib/
docker cp scripts/clawdbot_client.js <container>:/a0/bridge/
docker cp .env <container>:/a0/bridge/
docker exec <container> sh -c 'echo "DOCKER_CONTAINER=true" >> /a0/bridge/.env'
```

## Usage

### Send Task to Agent Zero
```bash
node scripts/a0_client.js "Build a REST API with JWT authentication"
node scripts/a0_client.js "Review this code" --attach ./file.py
node scripts/a0_client.js "New task" --new  # Start fresh conversation
```

### Check Status
```bash
node scripts/a0_client.js status
node scripts/a0_client.js history
node scripts/a0_client.js reset  # Clear conversation
```

### Task Breakdown (Creates Tracked Project)
```bash
node scripts/task_breakdown.js "Build e-commerce platform"
# Creates notebook/tasks/projects/<name>.md with checkable steps
```

### From Agent Zero → Clawdbot
Inside A0 container:
```bash
# Report progress
node /a0/bridge/clawdbot_client.js notify "Working on step 3..."

# Ask for input
node /a0/bridge/clawdbot_client.js "Should I use PostgreSQL or SQLite?"

# Invoke Clawdbot tool
node /a0/bridge/clawdbot_client.js tool web_search '{"query":"Node.js best practices"}'
```

## Troubleshooting

| Error | Fix |
|-------|-----|
| 401 / API key error | Check A0_API_KEY matches Agent Zero's mcp_server_token |
| Connection refused from Docker | Use host LAN IP in CLAWDBOT_API_URL_DOCKER, ensure gateway binds 0.0.0.0 |
| A0 500 errors | Check Agent Zero's LLM API key (Gemini/OpenAI) is valid |

「AI 智能体」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。