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evor-dashboard

Visualize Evor mission evolution via SSE streams from tree.json and telemetry.jsonl.

1|Updated Jul 6, 2026
Search Tags:#machine learning#dashboard#AI monitoring#real-time visualization#evolution analysis
One-click install
npx skills add https://github.com/it-dainb/oh-my-evor --skill evor-dashboard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evor-dashboard
Source: https://github.com/it-dainb/oh-my-evor/tree/main/skills/evor-dashboard
Command: npx skills add https://github.com/it-dainb/oh-my-evor --skill evor-dashboard

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for a visual tool to monitor the progress of Evor missions, allowing users to keep an eye on the real-time evolution process of machine learning models.

Core Features & Use Cases

  • Real-time Visualization: Provides a live D3 tree visualization of the evolution DAG.
  • Telemetry Curves: Offers Chart.js telemetry curves for each node in the tree.
  • Frontier Table: Features a real-time table showing the frontier of the best nodes.
  • Non-database Requirement: Utilizes SSE streams to read tree.json and telemetry.jsonl files without a database.
  • Use Case: Ideal for users who want to keep an active overview of an ongoing Evor mission, ensuring that the evolution process is transparent and can be analyzed on the fly.

Quick Start

Start the dashboard for your active Evor mission by using the command /evor-dashboard.

Frequently Asked Questions about evor-dashboard

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

FAQPage Schema
How do I monitor machine learning model evolution in real-time?▼

You can monitor machine learning model evolution in real-time by using a live dashboard that reads `tree.json` and `telemetry.jsonl` files via SSE streams to visualize the evolutionary progress of AI agents.

Does this AI monitoring dashboard require a database to visualize missions?▼

No, this AI monitoring dashboard does not require a database. It directly utilizes SSE streams to read `tree.json` and `telemetry.jsonl` files for visualizing the evolution DAG without any database setup.

What is the best way to visualize an active Evor mission's evolution DAG?▼

The best way to visualize an active Evor mission's evolution DAG is by launching a live dashboard that provides a D3 tree visualization alongside Chart.js telemetry curves for each node.

How do I start real-time visualization for my current machine learning mission?▼

To start real-time visualization for your current machine learning mission, run the `/evor-dashboard` command. This launches the live interface showing the frontier table and evolution tree.

Can I track the frontier of best nodes during AI agent evolution?▼

Yes, you can track the frontier of best nodes during AI agent evolution. The dashboard features a real-time table that continuously updates to show the best-performing nodes in the evolution DAG.

What visualization libraries are used for rendering telemetry and evolution trees?▼

The dashboard uses D3 for rendering the live evolution tree visualization and Chart.js for displaying telemetry curves, allowing direct observation of machine learning model progression without a database.

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