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multi-agent-intercom多座席对讲

Agent Skill

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。

总安装

10,350

周安装

427

GitHub Stars

2

下载量

3,382
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: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

简介

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。

SKILL.md

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.*

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

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。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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