← 返回 Skills 市场
89
总下载
1
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install multi-agent-deployment
功能描述
Deploy a production-ready multi-agent fleet in OpenClaw. Includes step-by-step setup guide, workspace templates, and Python automation scripts for agent crea...
安全使用建议
Before installing or running this skill: (1) Review and sanitize any existing MEMORY.md content — memory_sync will merge and distribute 'Cross-Agent Intel' to every agent without filtering, which can leak secrets; (2) Confirm where openclaw.json and workspace directories will be written on your VPS, and back them up — deploy.sh overwrites files and restarts an 'openclaw' container; (3) Provide SSH credentials only to a trusted host and run deploy.sh manually after review (the skill does not declare or manage these credentials); (4) Ensure your OpenRouter API key is provisioned to the runtime in a secure place (the skill references OpenRouter in routing config but does not manage the key); (5) Test everything in a staging environment first (the default paths point at /data/.openclaw and the script restarts containers automatically). The pieces are coherent for a deployment helper, but the undeclared credential requirements and blind memory propagation justify caution.
能力评估
Purpose & Capability
The included scripts (workspace creation, routing config generation, memory sync, and deploy.sh) align with the described goal of deploying a multi-agent OpenClaw fleet. File functions correspond to the SKILL.md description. However the SKILL.md claims an OpenRouter API key is required and SSH access is expected, but the skill's declared metadata lists no required environment variables or primary credential — this mismatch is unexplained.
Instruction Scope
Runtime instructions tell the agent/user to run scripts that create workspaces, generate openclaw.json, sync 'Cross-Agent Intel' across all agents' MEMORY.md files, and run deploy.sh which scp/ssh uploads files to a VPS and restarts a Docker container. The memory_sync tool merges and writes Cross-Agent Intel blindly (no sanitization), which can propagate sensitive data across agents. The deploy step will copy files into a user-provided VPS path and restart the first container with name filter 'openclaw' — this can modify remote system state and should be run only with explicit, reviewed credentials and backups.
Install Mechanism
No install spec — instruction-only plus included scripts. There are no downloads from external URLs or package installs. This lowers installer risk; code is provided in plain text so reviewers can inspect it.
Credentials
Metadata declares no required env vars, but SKILL.md lists 'OpenRouter API key' and the deploy workflow requires SSH access (private key / credentials). The skill does not declare or handle these credentials itself. The deploy.sh expects an SSH key path and will use it to scp/ssh to the VPS; the scripts will therefore require credentials at runtime even though none are listed in the manifest. Also, cross-agent memory sync can cause secrets stored in MEMORY.md to be shared across agents — a proportionality/privacy concern if MEMORIES contain sensitive tokens/keys.
Persistence & Privilege
always is false and the skill does not request persistent, system-level privileges beyond using SSH to update a VPS and restarting containers. It does write to user-specified paths on the VPS (VPS_DATA) and will replace agent workspace files and utility scripts at that location; this is expected for a deployment utility but is a high-impact action.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install multi-agent-deployment - 安装完成后，直接呼叫该 Skill 的名称或使用
/multi-agent-deployment触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
Added automation scripts (agent_setup.py, routing_config.py, memory_sync.py, deploy.sh). Cleaned up documentation.
v1.0.0
Initial release
元数据
常见问题
Multi-Agent Deployment Skill for OpenClaw 是什么？
Deploy a production-ready multi-agent fleet in OpenClaw. Includes step-by-step setup guide, workspace templates, and Python automation scripts for agent crea... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 89 次。
如何安装 Multi-Agent Deployment Skill for OpenClaw？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-deployment」即可一键安装，无需额外配置。
Multi-Agent Deployment Skill for OpenClaw 是免费的吗？
是的，Multi-Agent Deployment Skill for OpenClaw 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Multi-Agent Deployment Skill for OpenClaw 支持哪些平台？
Multi-Agent Deployment Skill for OpenClaw 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Multi-Agent Deployment Skill for OpenClaw？
由 abhinas90（@abhinas90）开发并维护，当前版本 v1.0.1。
推荐 Skills