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command-center

Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.

Why use this skill?

Monitor your AI workforce with the OpenClaw Command Center. Track real-time sessions, LLM usage, system vitals, and costs in one unified, secure dashboard.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/jontsai/command-center
Or

What This Skill Does

The OpenClaw Command Center acts as the central mission control dashboard for the entire OpenClaw ecosystem. It provides comprehensive visibility into your AI workforce, offering a unified interface to monitor real-time sessions, track LLM model consumption, and oversee system health. Designed for power users and administrators, it aggregates disparate data streams into actionable intelligence, allowing for granular oversight of CPU, memory, and disk usage alongside specialized insights into agent-specific metrics like Cerebro topic organization and scheduled cron jobs. The skill effectively transforms raw runtime data into a visual health check for your infrastructure.

Installation

To integrate the Command Center into your workspace, ensure you have the OpenClaw environment active. Run the following command in your terminal:

clawhub install openclaw/skills/skills/jontsai/command-center

Once installed, navigate to the newly created directory within your skills/ folder. You can initialize the server by running node lib/server.js. The dashboard will be accessible via your browser at http://localhost:3333. Ensure that your OPENCLAW_WORKSPACE environment variable is correctly set if the tool fails to auto-detect your active project directory. For remote deployments, configure the DASHBOARD_AUTH_MODE environment variable to support authentication methods such as token-based access or secure tunnel configurations like Tailscale.

Use Cases

  • Enterprise AI Management: Monitor usage costs across multiple agent sessions to prevent budget overruns.
  • System Health Diagnostics: Quickly identify performance bottlenecks by reviewing real-time CPU, disk, and memory vitals during heavy LLM inferencing tasks.
  • Operational Auditing: Review past agent sessions and organized Cerebro topics to verify compliance and logical decision-making paths.
  • Remote Infrastructure Oversight: Securely deploy the dashboard behind a VPN or Cloudflare tunnel to manage local AI agents from a remote environment.

Example Prompts

  1. "OpenClaw, pull up the Command Center dashboard and show me the total cost estimate for all agent sessions in the last 24 hours."
  2. "Check the Command Center vitals; are my CPU temperatures or memory utilization exceeding safety thresholds for current background tasks?"
  3. "Summarize the top three most active Cerebro topics in the Command Center and identify any scheduled cron jobs that failed to run this morning."

Tips & Limitations

For local development, keep the auth mode set to none. In production, always utilize tailscale or cloudflare modes to prevent unauthorized access to sensitive session logs. Note that the dashboard provides a view of data based on the current workspace; switching workspaces requires a server restart to refresh the monitor scope. Keep in mind that real-time event streaming may increase baseline resource usage slightly; monitor your system vitals via the dashboard itself if you observe performance degradation.

Metadata

Author@jontsai
Stars1947
Views0
Updated2026-03-04
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-jontsai-command-center": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#dashboard#monitoring#observability#infrastructure#analytics
Safety Score: 4/5

Flags: network-access, file-read, data-collection