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Agent Dashboard

Monitors OpenClaw agents' health, tasks, API costs, and skill performance via terminal and web dashboards.

3|2|Updated Mar 1, 2026
Search Tags:#monitoring#analytics#dashboard#cost tracking#agent performance
One-click install
npx skills add https://github.com/hanabi-jpn/clawhub-skills --skill agent-dashboard-hanabi-jpn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Agent Dashboard
Source: https://github.com/hanabi-jpn/clawhub-skills/tree/main/archive/agent-dashboard
Command: npx skills add https://github.com/hanabi-jpn/clawhub-skills --skill agent-dashboard-hanabi-jpn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dashboard.py, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Agent Dashboard Skill provides real-time monitoring, performance tracking, and cost management for OpenClaw agents, helping you maintain and optimize your AI agent ecosystem.

Core Features & Use Cases

  • Real-time Monitoring: Track health scores, task metrics, API costs, and skill performance.
  • Cost Tracking: Monitor and report on the cost of using OpenClaw agents.
  • Analytics: Analyze task completion rates, response times, and more.
  • Dashboard: Access comprehensive analytics through terminal and web dashboards.
  • Use Case: Use this Skill to monitor and manage a large fleet of OpenClaw agents, ensuring they are performing optimally and efficiently.

Quick Start

Run dashboard to view the Agent Dashboard terminal interface or use dashboard --web to generate an interactive web dashboard.

Frequently Asked Questions about Agent Dashboard

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

FAQPage Schema
How do I monitor OpenClaw agent performance and API costs in real time?▼

Agent performance monitoring tracks health scores, task completion rates, and API costs for OpenClaw agents. It provides real-time analytics through terminal and web dashboards, helping you maintain and optimize a large fleet of AI agents efficiently.

What metrics can I track with an AI agent dashboard?▼

You can track health scores, task completion rates, response times, API costs, and skill performance metrics. The dashboard provides comprehensive analytics to help you manage and optimize your AI agent operations across your ecosystem.

Do I need a Python environment to run agent cost tracking and analytics dashboards?▼

Yes, you need a Python environment with dashboard.py installed, along with existing OpenClaw agent infrastructure. These prerequisites are required to run the monitoring, performance tracking, and cost management features for your agents.

Can I use a web dashboard to manage a large fleet of OpenClaw agents?▼

Yes, you can manage a large fleet of OpenClaw agents by running dashboard --web to generate an interactive web dashboard. This provides comprehensive analytics for monitoring agent health, task metrics, and cost management at scale.

What is the best way to view OpenClaw agent analytics without a browser?▼

Running the dashboard command in your terminal provides a comprehensive analytics interface without a browser. It displays real-time health scores, task completion metrics, and API cost tracking for your OpenClaw agents directly in the terminal.

Why does agent performance monitoring require OpenClaw infrastructure?▼

Agent performance monitoring relies on OpenClaw infrastructure because the dashboard integrates directly with the OpenClaw agent ecosystem to collect real-time health scores, task metrics, and API cost data. Without this infrastructure, the analytics cannot gather the required agent data.

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