analyze-network

Analyze network structure to identify central nodes, bridges, and clusters.

Updated Feb 18, 2026

Search Tags:#network analysis #graph analysis #centrality #institutional analysis #bridge detection

Ready to run

npx skills add https://github.com/tcole333/ithildin --skill analyze-network-tcole333

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyze-network
Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/analyze-network
Command: npx skills add https://github.com/tcole333/ithildin --skill analyze-network-tcole333

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies and analyzes complex network structures, revealing hidden patterns, key players, and potential gaps in an investigation.

Core Features & Use Cases

Graph Structure Analysis: Measures centrality, identifies bridges, clusters, and cross-thread actors.
Coverage Gaps: Detects under-investigated high-connectivity nodes indicating blind spots.
Institutional Analysis: Evaluates institutional patterns, including revolving doors and shared alumni networks.
Use Case: Use this Skill to analyze a criminal network, identifying key figures, weak points, and potential investigative leads.

Quick Start

Run the analyze-network skill with the --thread N option to focus on a specific thread's subgraph.

Frequently Asked Questions about analyze-network

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

FAQPage Schema

How do I analyze a network graph to uncover hidden patterns and key players?▼

Network analysis measures centrality, identifies bridges, and detects clusters to reveal hidden patterns. It evaluates coverage gaps and identifies key players and institutions, outputting a report with findings and investigative hypotheses.

What does centrality and bridge detection reveal during institutional analysis?▼

Centrality and bridge detection in institutional analysis reveal cross-thread actors and structural weak points. This process identifies shared alumni networks and revolving door patterns, exposing hidden connections between institutions.

How can I find coverage gaps in a network investigation?▼

To find coverage gaps in a network investigation, analyze the graph structure for under-investigated high-connectivity nodes. These nodes indicate blind spots in the network, highlighting areas requiring deeper inquiry.

Can I focus graph analysis on a specific subgraph or thread?▼

Yes, you can focus graph analysis on a specific subgraph by running the skill with the --thread N option. This targets the network analysis specifically on the data from that individual thread.

Do I need to provide my own data for network structure analysis?▼

Yes, network structure analysis requires analysis tools and data from your investigation context. You must supply the network data beforehand so the skill can evaluate the structure and identify key figures.

What is the best way to identify clusters and cross-thread actors in a network?▼

The best way to identify clusters and cross-thread actors is through deep graph analysis. This approach measures graph structure, detects subgroups, and outputs a report with hypotheses for further investigation.