cui-bono

Trace power flows and identify beneficiaries across geopolitical poles.

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/bogheorghiu/ex-cog-dev --skill cui-bono
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cui-bono
Source: https://github.com/bogheorghiu/ex-cog-dev/tree/main/research-toolkit/skills/cui-bono
Command: npx skills add https://github.com/bogheorghiu/ex-cog-dev --skill cui-bono

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cui bono maps how power actually moves through systems—tracing beneficial ownership, revolving doors, supply chains, institutional incentives, and geopolitical alignments. It applies the same rigorous standards across all actors, regardless of alignment, to reveal who benefits and who bears costs.

Core Features & Use Cases

  • Multi-perspective beneficiary mapping across power poles (Western, Chinese, Russian, and regional) to identify who benefits and who pays
  • Revolving door and ownership chain detection across institutions and narratives
  • Framework-agnostic, cross-domain analysis for evaluating institutional claims, media narratives, and policy frameworks using symmetric evidence standards

Quick Start

Map beneficiary flows for a given decision by compiling ownership, incentives, and geopolitical links using multi-polar analysis.

Frequently Asked Questions about cui-bono

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

FAQPage Schema
How do I analyze who benefits from a policy decision using multi-polar analysis?

Multi-polar beneficiary analysis identifies who benefits from a policy decision by tracing power flows, ownership, and geopolitical alignments across Western, Chinese, Russian, and regional power poles. It maps beneficial ownership and institutional incentives to reveal who gains and who pays.

What is beneficiary analysis and when do I need it for geopolitical evidence evaluation?

Beneficiary analysis is a structured assessment tracing how power moves through systems via ownership chains, revolving doors, and institutional incentives. You need it for geopolitical evidence evaluation when evaluating institutional claims, media narratives, and policy frameworks using symmetric evidence standards.

How to trace power structures and ownership chains across different geopolitical alignments?

Trace power structures and ownership chains by compiling beneficial ownership data, revolving door connections, and supply chain links across all power poles. Apply symmetric multi-polar analysis to document credibility, acknowledge uncertainties, and map who benefits and bears costs.

Can I evaluate institutional claims and media narratives using symmetric evidence standards?

Yes, you can evaluate institutional claims and media narratives using symmetric evidence standards. The framework-agnostic, cross-domain analysis applies the same rigorous evidence evaluation across all actors regardless of alignment to reveal power structures and beneficiary flows.

Does multi-polar beneficiary analysis work for regional power structures outside Western, Chinese, and Russian poles?

Multi-polar beneficiary analysis works for regional power structures by applying symmetric analysis across Western, Chinese, Russian, and regional power poles. It identifies beneficiaries and costs across diverse geopolitical alignments using rigorous, framework-agnostic evidence standards.

What are the limitations of using beneficiary analysis for power structure mapping?

Limitations of beneficiary analysis include relying on documented credibility of diverse sources and acknowledging explicit uncertainties. Complex power structures and revolving door connections may remain obscured when beneficial ownership data is incomplete across multi-polar geopolitical alignments.