command-center

Monitor and manage OpenClaw AI agents with real-time session, system, and cost metrics.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/Bojoinka/openclaw-command-center --skill command-center-bojoinka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: command-center
Source: https://github.com/Bojoinka/openclaw-command-center/tree/main
Command: npx skills add https://github.com/Bojoinka/openclaw-command-center --skill command-center-bojoinka

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive dashboard to monitor and manage OpenClaw AI agents, solving the problem of lack of visibility and control over AI workflows.

Core Features & Use Cases

  • Real-time Session Monitoring: Track active AI sessions in real-time, including model usage and costs.
  • System Vitals: Monitor system metrics like CPU, memory, and disk usage.
  • Cron Jobs: Manage scheduled tasks and view run history.
  • Topic Tracking: Automatically tag conversations for better organization and tracking.
  • Cost Tracking: Analyze per-session costs and predict savings.
  • Privacy Controls: Hide sensitive information for demonstrations and screenshots.
  • Use Case: Suppose you have a team of AI agents handling customer inquiries. Use this Skill to monitor their performance, costs, and ensure privacy is maintained.

Quick Start

Install the command-center skill from ClawHub and start the dashboard with 'clawhub install command-center' followed by 'node lib/server.js'.

Frequently Asked Questions about command-center

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor active AI agent sessions in real-time?

Real-time monitoring of AI agent sessions is provided through a dashboard that tracks active sessions, model usage, and associated costs. This gives administrators live visibility into ongoing AI workflows and workforce performance.

What is the best way to track OpenClaw AI agent costs and system health?

The best way to track OpenClaw AI agent costs and system health is through a unified dashboard that analyzes per-session cost metrics alongside CPU, memory, and disk usage. This approach identifies performance bottlenecks and predicts operational savings.

Do I need Node.js to run an AI workforce management dashboard?

Yes, you need Node.js version 18 or higher to run this AI workforce management dashboard. This runtime environment is required to execute the server script and render the monitoring interface for your AI agents.

Can I manage scheduled tasks and cron jobs for AI agents?

Yes, you can manage scheduled tasks and cron jobs for AI agents through the dashboard. This feature allows you to configure automated workflows and view historical run logs for your scheduled tasks.

How do I hide sensitive information when taking screenshots of an AI monitoring dashboard?

To hide sensitive information when taking screenshots of an AI monitoring dashboard, you can enable built-in privacy controls. This functionality masks confidential data during demonstrations and screen captures.