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Install in OpenClaw
/install multi-agent-deployment
Description
Deploy a production-ready multi-agent fleet in OpenClaw. Includes step-by-step setup guide, workspace templates, and Python automation scripts for agent crea...
Usage Guidance
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-deployment - After installation, invoke the skill by name or use
/multi-agent-deployment - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Multi-Agent Deployment Skill for OpenClaw?
Deploy a production-ready multi-agent fleet in OpenClaw. Includes step-by-step setup guide, workspace templates, and Python automation scripts for agent crea... It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install Multi-Agent Deployment Skill for OpenClaw?
Run "/install multi-agent-deployment" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Multi-Agent Deployment Skill for OpenClaw free?
Yes, Multi-Agent Deployment Skill for OpenClaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Multi-Agent Deployment Skill for OpenClaw support?
Multi-Agent Deployment Skill for OpenClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Multi-Agent Deployment Skill for OpenClaw?
It is built and maintained by abhinas90 (@abhinas90); the current version is v1.0.1.
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