A streamlined deployment tool to launch the OpenClaw Agent Control dashboard and backend infrastructure with a single command.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-agent-control
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-agent-control using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Openclaw Agent Control?
Openclaw Agent Control is a specialized skill designed to automate the orchestration of the OpenClaw environment. It simplifies the process of setting up a centralized operator interface, ensuring that both the frontend dashboard and the backend services are synchronized and running optimally. By leveraging this skill within the ecosystem of Openclaw Skills, developers can bypass manual configuration hurdles and focus on managing their autonomous agents.
This tool handles repository synchronization, environment preparation, and service initiation, providing a robust foundation for AI agent operations. It is particularly useful for developers who need to rapidly spin up or update their control plane without manually managing build dependencies or port configurations.
Openclaw Agent Control Use Cases
- Rapidly deploying a new instance of the OpenClaw operator dashboard.
- Automating the update and restart cycle of the agent control environment.
- Standardizing the deployment process across different server environments using Openclaw Skills.
- Conducting health checks on backend and frontend services to ensure operational uptime.
How Openclaw Agent Control Works
- The skill identifies the target directory and repository URL to synchronize the latest codebase from the official source.
- It initiates the backend service, binding it to the designated monitoring port (default 8787) for API access.
- The frontend build process is triggered to generate the necessary web assets for the operator UI.
- The web dashboard is launched on the specified port (default 3000) to provide a visual interface for the user.
- Post-deployment validation is performed via health check endpoints to confirm both services are active.
Openclaw Agent Control Setup
To deploy the agent control suite using Openclaw Skills, run the following command in your terminal:
bash scripts/deploy_project.sh
You can customize the deployment by setting environment variables before execution if you need to change default paths or ports:
export REPO_URL="https://github.com/JiangAgentLabs/OpenClaw-Agent-Control.git"
export PROJECT_DIR="/root/OpenClaw-Agent-Control"
export MONITOR_PORT=8787
export PORT=3000
Openclaw Agent Control Data Schema & Taxonomy
The skill manages its operational data and service endpoints using the following schema:
| Item | Description | Default Value |
|---|---|---|
| PROJECT_DIR | The local directory where the repository is stored | /root/OpenClaw-Agent-Control |
| MONITOR_PORT | The port assigned to the backend API and status checks | 8787 |
| PORT | The port assigned to the frontend web dashboard | 3000 |
| Health Check | The endpoint used to verify backend status | /api/status |
Openclaw Agent Control Advanced Features
- Automated repository synchronization to keep Openclaw Skills up to date with the latest releases.
- Configurable environment variables for multi-instance or custom port deployments.
- Integrated health check mechanisms that provide immediate feedback on service status.
- Combined backend and frontend lifecycle management within a single skill-based workflow.
SKILL.md
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