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Agent Skill · 效率

multi-agent-intercom(多座席对讲)

multi-agent-intercom 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

multi-agent-intercom 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 5,794。

总安装 10,350周安装 427GitHub Stars 2下载 3,382核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.6

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:multi-agent-intercom(多座席对讲)
来源仓库:https://github.com/zhangxue1985122219/multi-agent-intercom
安装命令:
openclaw skills install multi-agent-intercom
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 multi-agent-intercom

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

支持隔离代理间的点对点通信,突破 sessions_send 的边界限制。适用于跨工作区协作或私密讨论场景。解决多主机环境下消息路由难题,提升通信效率。安装命令为 openclaw skills install multi-agent-intercom,需启用跨域通信权限。

使用前应加密敏感对话内容,防止中间人攻击或信息泄露。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install multi-agent-intercom;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

multi-agent-intercom 怎么安装?

在终端执行 openclaw skills install multi-agent-intercom。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

multi-agent-intercom 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

multi-agent-intercom 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install multi-agent-intercom 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

multi-agent-intercom 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

multi-agent-intercom 用的人多吗?

公开数据是累计安装 10,350 次,近一周安装 427 次,下载 3,382 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

multi-agent-intercom 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
multi-agent-intercom

多座席对讲 · 本页

10,3502执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
multi-agent-intercom
description
Enables peer-to-peer cross-communication between isolated OpenClaw agents. Resolves the limitation of sessions_send which cannot cross agent boundaries. 100% Zero-Intrusive, safe, compliant, with zero console popups and robust multiline support.
when
When the user mentions 'multi-agent-intercom', 'intercom', or requests to send a message to another agent. CRITICAL: If this is the very first time using this skill, you MUST run the setup script (python <SKILL_DIR>/scripts/intercom.py setup) to generate the protocol SOP, then ask the human user to manually paste it into each agent's AGENTS.md file.
examples
metadata

Multi-Agent Intercom

🗣️ A powerful, secure, and zero-intrusive peer-to-peer communication skill for OpenClaw.

This skill enables independent OpenClaw agents (e.g., zz, dev, rc) to securely send messages and wake up each other across isolated workspaces. It acts as an asynchronous "intercom system" for your Multi-Agent setup.


🚀 Quick-Start Instructions

1. Initialization (First Time Setup — One-Time Manual Step)

Run the setup script to generate the communication protocol SOP:

python <SKILL_DIR>/scripts/intercom.py setup

⚠️ Important: The script will print an SOP block to the screen — it does NOT auto-write any files. You must manually copy the printed SOP block and paste it at the bottom of each agent's AGENTS.md file. After pasting, type /new in your chat to reload their brains.

2. Send a Message

Determine the target agent's ID and your own ID, then run:

python <SKILL_DIR>/scripts/intercom.py send <TARGET_AGENT_ID> <YOUR_AGENT_ID> "<YOUR_MESSAGE>"

*Note: This script runs asynchronously in the background. It will return immediately. Do not wait or retry.*

3. Example (You are 'zz', telling 'dev' to update avatars)

python <SKILL_DIR>/scripts/intercom.py send dev zz "Hi dev, the Boss wants us to update our avatars today. Acknowledge when done."

When 'dev' receives this, the message will be formatted as [From Agent zz] Hi dev, the Boss wants us to update our avatars today... — the SOP embedded in AGENTS.md tells 'dev' exactly how to respond.


🌟 Why is this needed?

By design, OpenClaw agents run in isolated databases and sandboxes. The built-in sessions_send tool can only send messages within an agent's own subagent hierarchy. If Agent A tries to use sessions_send to message Agent B, it will result in a "Session not found" error.

Multi-Agent Intercom solves this by leveraging the native openclaw agent CLI mechanism to safely bridge these isolated environments, allowing agents to act as equal peers in a decentralized company.

🛡️ Security First: Zero-Intrusive & 100% Compliant

  • No File Tampering: Does NOT automatically modify or rewrite any system files. You remain in full control.
  • No Shell Injection: Safe subprocess argument lists prevent RCE vulnerabilities.
  • True Silent Execution: Uses CREATE_NO_WINDOW + close_fds on Windows for zero console popups.
  • Anti-Loop Breaker: The protocol prevents infinite "Received → Thank you" loops.

✨ Features

  • Cross-Boundary Messaging — reach any agent on the same system
  • Robust Multiline Support — bypasses Windows cmd.exe argument truncation via PowerShell routing
  • Internationalization (i18n) — auto-detects OS language (English / Chinese)
  • Immediate Wake-up — bypasses sleep states, forces target to process now
  • Persistent Context — targets the main session by default

⚠️ Command Reference

CommandWhat it does
python intercom.py setupPrints the SOP block for manual copy-paste into AGENTS.md
python intercom.py send <target> <sender> "<msg>"Sends a message to another agent
Note: There is NO install subcommand. Use setup to generate the SOP.

Requirements

  • OpenClaw >= 2026.x
  • Python 3.x

*Created for the OpenClaw / ClawDBot community.*

平台分布

OpenClaw

77.32%
按下载量换算2,615

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install multi-agent-intercom 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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