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be1human

Multi-Agent CN

by CLOUD BOY · GitHub ↗ · v1.2.0
cross-platform ⚠ suspicious
6085
Downloads
25
Stars
48
Active Installs
3
Versions
Install in OpenClaw
/install multi-agent-cn
Description
通用多Agent调度系统(中文版):将主Agent变为纯调度员,所有任务通过 sessions_spawn 委派给5个持久化子Agent。支持轮询调度、先回复再派遣协议、 sessionKey固定复用。用户可自定义调度员角色和子Agent名称/人设。
Usage Guidance
Install only if you are comfortable with task details being copied into reusable sub-agent sessions. Avoid sending secrets, account data, production credentials, or unrelated private context through this dispatcher unless you add your own rules for confirmation, project separation, and session reset.
Capability Analysis
Type: OpenClaw Skill Name: multi-agent-cn Version: 1.2.0 The skill defines a multi-agent dispatcher. The `SKILL.md` explicitly instructs the main agent (dispatcher) *not* to perform any direct execution (`exec`), file read/write, or search operations. Its role is strictly to delegate tasks to sub-agents via `sessions_spawn`. There are no instructions for data exfiltration, malicious execution, persistence, or prompt injection designed to harm the user or system. The instructions are clear, transparent, and focus on managing task delegation within the OpenClaw framework, even including explicit prohibitions against risky behaviors for the dispatcher agent.
Capability Assessment
Purpose & Capability
The stated purpose and artifacts align: it is a Chinese-language generic dispatcher that tells the main agent to delegate work through sessions_spawn to five named sub-agents.
Instruction Scope
The skill is intentionally generic, says all real work must be delegated, and supports parallel dispatch of multiple tasks, but does not define task categories, sensitive-task exclusions, or confirmation boundaries.
Install Mechanism
The artifact contains only SKILL.md and skill.json, with no executable scripts, package install step, binary requirement, credential setup, or hidden payload.
Credentials
The main dispatcher is explicitly forbidden from direct exec, file read/write, search, and message-tool use; actual tool use is delegated to spawned sub-agents according to the task.
Persistence & Privilege
The artifact requires fixed sessionKey reuse for alpha through echo to preserve sub-agent memory, but does not define project separation, session reset, retention limits, or safeguards for secrets and private context.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-agent-cn
  3. After installation, invoke the skill by name or use /multi-agent-cn
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
Fix: 强化 sessionKey 必传说明,加正确/错误示例对比,解决 session 不复用一直新增的问题
v1.1.0
新增多任务拆解+并行派遣:用户一句话多个任务时,自动拆解并同时派遣多个子Agent执行
v1.0.0
Initial release: 通用多Agent调度系统中文版 — 5子Agent轮询调度,先回复再派遣,sessionKey固定复用,无主题绑定,用户可自定义角色和名称
Metadata
Slug multi-agent-cn
Version 1.2.0
License
All-time Installs 229
Active Installs 48
Total Versions 3
Frequently Asked Questions

What is Multi-Agent CN?

通用多Agent调度系统(中文版):将主Agent变为纯调度员,所有任务通过 sessions_spawn 委派给5个持久化子Agent。支持轮询调度、先回复再派遣协议、 sessionKey固定复用。用户可自定义调度员角色和子Agent名称/人设。 It is an AI Agent Skill for Claude Code / OpenClaw, with 6085 downloads so far.

How do I install Multi-Agent CN?

Run "/install multi-agent-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Multi-Agent CN free?

Yes, Multi-Agent CN is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Multi-Agent CN support?

Multi-Agent CN is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Multi-Agent CN?

It is built and maintained by CLOUD BOY (@be1human); the current version is v1.2.0.

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