ego-check

Assess multi-agent network health by analyzing scratchpads, git diffs, and delegation efficiency.

Updated Aug 27, 2026

Search Tags:#planning #multi-agent systems #coordination #agent health #process assessment #self-assemblage

Ready to run

npx skills add https://github.com/bert-berkers/UrbanRepML --skill ego-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ego-check
Source: https://github.com/bert-berkers/UrbanRepML/tree/main/.claude/skills/ego-check
Command: npx skills add https://github.com/bert-berkers/UrbanRepML --skill ego-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive assessment of the AI agent's operational health, identifying areas of friction and proactively planning for future development sessions.

Core Features & Use Cases

Process Health Assessment: Evaluates agent connections, scratchpad coherence, and delegation effectiveness.
Forward-Looking Planning: Generates recommendations for the next development session.
Use Case: Before starting a new development sprint, run this Skill to ensure all agents are communicating effectively and to get a clear roadmap for the upcoming tasks.

Quick Start

Run the ego-check skill to assess the current agent process health.

Frequently Asked Questions about ego-check

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

FAQPage Schema

How do I assess multi-agent network health and coordination efficiency?▼

To assess multi-agent network health, you evaluate node and edge connections, scratchpad meaningfulness, and delegation efficiency to identify strained processes and operational friction.

What is agent self-assemblage in multi-agent systems?▼

Agent self-assemblage is the process of detecting gaps in a multi-agent network to proactively coordinate and plan the integration of new agents for future development sessions.

How do I evaluate agent scratchpads and git diffs against specifications?▼

You evaluate agent scratchpads and git diffs by analyzing specifications versus implementation to identify working areas, strained processes, and overall operational health metrics.

Can I detect coordination gaps in a multi-agent network before a new development sprint?▼

Yes, you can detect coordination gaps by evaluating lateral coordination and supra-coordinator communication quality, allowing you to plan next steps before starting a new sprint.

When should I run a process assessment for multi-agent coordination?▼

You should run a process assessment for multi-agent coordination before starting a new development sprint to ensure all agents are communicating effectively and to generate a clear roadmap.

What metrics indicate strained processes in a multi-agent system?▼

Metrics indicating strained processes in a multi-agent system include poor delegation efficiency, incoherent agent scratchpads, and degraded lateral coordination and supra-coordinator communication quality.