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Analyzing Geopolitical Risk

ASecurity

Structures geopolitical risk assessment with scenario planning, market impact analysis, and portfolio implications. Use when analyzing geopolitical events, assessing political risk, or evaluating conflict scenarios.

22 stars
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Added 9/20/2026
datagoswifttestingapi

Works with

cliapi

Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add lev-os/agents --skill analyzing-geopolitical-risk --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: analyzing-geopolitical-risk
description: Structures geopolitical risk assessment with scenario planning, market impact analysis, and portfolio implications. Use when analyzing geopolitical events, assessing political risk, or evaluating conflict scenarios.
tags:
  - analysis
  - economic-analysis
  - risk
  - portfolio
metadata:
  author: casemark
  practice_areas:
    - Economic Research
    - Macroeconomics
    - Policy Analysis
  document_types:
    - Analysis Report
  skill_modes:
    - Analysis
---
# Analyzing Geopolitical Risk

## When To Use

- Evaluating how a specific geopolitical event (conflict, sanctions, election, coup, trade dispute) affects asset classes, sectors, or portfolios
- Building scenario trees for emerging political crises with probability-weighted market outcomes
- Assessing sovereign or country risk for investment allocation, credit exposure, or supply-chain decisions
- Providing macro backdrop analysis for investment committee memos or client advisories
- Stress-testing portfolio exposures against escalation/de-escalation scenarios

## Inputs To Gather

- **Event description**: The specific geopolitical situation — parties involved, timeline, current status, and triggering developments
- **Asset/portfolio scope**: Which holdings, sectors, regions, or asset classes need assessment (equities, fixed income, commodities, FX, alternatives)
- **Time horizon**: Near-term tactical (days/weeks), medium-term strategic (months), or structural (years)
- **Exposure data** (if available): Current portfolio weights, country/sector allocations, supply-chain dependencies
- **Historical analogues**: Prior events the user considers comparable (e.g., 2014 Crimea annexation, 2018 US-China tariffs, 1973 oil embargo)
- **Risk tolerance context**: Client type, mandate constraints, regulatory environment

## Workflow

1. **Frame the event and stakeholders**
   - Identify the principal actors (state, non-state, multilateral), their objectives, and leverage points
   - Map the escalation ladder: what triggers move the situation from current state to higher/lower severity
   - Classify risk type: armed conflict, sanctions/trade war, regime change, regulatory shift, resource disruption, cyber/hybrid

2. **Build scenario tree**
   - Define 3-4 discrete scenarios (e.g., de-escalation, status quo, limited escalation, full escalation)
   - Assign probability weights to each scenario with explicit reasoning — cite diplomatic signals, military posture, economic incentives, and domestic political pressures
   - For each scenario, specify the key observable indicators that would confirm or disconfirm it (leading signals)
   - [VERIFY] Probability assignments against current consensus from credible geopolitical risk firms or sovereign CDS spreads

3. **Map transmission channels to markets**
   - **Commodity supply**: Identify disrupted production, transit routes, or refining capacity (oil, gas, grain, metals)
   - **Trade flows**: Tariff escalation, export controls, sanctions lists, secondary sanctions risk
   - **Capital flows**: Sanctions on sovereign debt, SWIFT exclusion, capital controls, FDI freezes
   - **Sentiment/contagion**: Flight-to-safety dynamics (USD, UST, gold, CHF, JPY), risk-off correlation spikes
   - **FX and rates**: Central bank policy response, inflation pass-through from commodity shocks, EM currency stress
   - Quantify where possible: historical drawdowns in comparable episodes, implied vol shifts, basis-point impact on spreads

4. **Assess portfolio implications**
   - For each scenario, estimate P&L impact on relevant positions or sectors using sensitivity analysis
   - Identify concentrated exposures: direct country exposure, revenue dependency, supply-chain chokepoints
   - Flag second-order risks: sanctions compliance obligations, counterparty exposure to affected sovereigns, forced selling from index exclusion
   - Propose hedging or rebalancing options: put spreads on exposed indices, commodity hedges, duration adjustments, geographic diversification

5. **Determine monitoring triggers**
   - Define specific observable events that would shift scenario probabilities (e.g., UN vote outcome, troop movements, sanctions announcement)
   - Set review cadence tied to event timeline — daily during acute phase, weekly during extended tensions
   - Identify data sources for real-time tracking: government press releases, satellite imagery services, CDS/FX spot levels, shipping/AIS data

## Output

Structure the deliverable as follows:

- **Executive Summary** (1 paragraph): Event, base-case scenario, headline portfolio impact, recommended action
- **Event Overview**: Stakeholders, timeline, current status, and classification
- **Scenario Matrix**: Table with scenario name, description, probability, key triggers, and market impact per asset class
- **Transmission Channel Analysis**: For the base case and worst case, detail the specific channels through which risk propagates to the portfolio
- **Portfolio Impact Assessment**: Quantified exposure analysis with scenario-conditional P&L estimates where data permits
- **Recommended Actions**: Specific hedging, rebalancing, or monitoring steps ranked by urgency
- **Monitoring Dashboard**: Table of leading indicators, data sources, and threshold levels that would trigger reassessment

## Quality Checks

- Every scenario has explicit probability reasoning, not just a label — avoid "possible" without quantification
- Transmission channels are specific to the event (e.g., "Strait of Hormuz oil transit" not "commodity disruption")
- Historical analogues are used to calibrate, not to predict — note structural differences from prior episodes
- [VERIFY] Sanctions references against current OFAC/EU/UN consolidated lists and effective dates
- [VERIFY] Commodity production and trade-flow statistics against IEA, USDA, or USGS data
- Portfolio recommendations are implementable — specify instrument type, tenor, and approximate sizing rationale
- Flag where analysis relies on assumptions about government behavior that could change rapidly
- Include explicit disclaimer that geopolitical forecasting carries inherent uncertainty and is not investment advice unless embedded in a formal advisory

Attribution

lev-oslev-os
View sourceMore from lev-os →
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Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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