Analyze network structure to identify central nodes, bridges, and clusters.
npx skills add https://github.com/tcole333/ithildin --skill analyze-network-tcole333
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
This Skill identifies and analyzes complex network structures, revealing hidden patterns, key players, and potential gaps in an investigation.
Run the analyze-network skill with the --thread N option to focus on a specific thread's subgraph.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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