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agent-zero-bridge零桥 Agent

Agent Skill

agent-zero-bridge 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

91,748

周安装

3,785

GitHub Stars

4

下载量

29,977
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-zero-bridge(零桥 Agent)
来源仓库:https://github.com/dowingard/agent-zero-bridge
安装命令:
openclaw skills install agent-zero-bridge
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-zero-bridge

简介

将复杂的编码、研究或自主任务委托给零号代理框架。当用户说“询问零号代理”、“委托给 A0”、“构建零号代理”或需要带有自我校正循环的长时间运行的自主编码时使用。支持双向通信、文件附件、任务分解和进度报告。

SKILL.md

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.

When to Use

  • 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

# 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

# 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

# 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:

{
  "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

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

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

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)

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:

# 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

ErrorFix
401 / API key errorCheck A0_API_KEY matches Agent Zero's mcp_server_token
Connection refused from DockerUse host LAN IP in CLAWDBOT_API_URL_DOCKER, ensure gateway binds 0.0.0.0
A0 500 errorsCheck Agent Zero's LLM API key (Gemini/OpenAI) is valid

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.71%
按下载量换算28,091

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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