risk-analysis

Perform quantitative risk analysis with probability/impact matrices and EMV scoring.

1|Updated Sep 17, 2025
One-click install
npx skills add https://github.com/mpazaryna/agentic-factory --skill risk-analysis-mpazaryna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: risk-analysis
Source: https://github.com/mpazaryna/agentic-factory/tree/main/pm/senior-pm/skills/risk-analysis
Command: npx skills add https://github.com/mpazaryna/agentic-factory --skill risk-analysis-mpazaryna

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires statistics, json, argparse, datetime, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust framework for performing quantitative risk analysis, enabling better decision-making by assessing the probability and impact of potential project risks.

Core Features & Use Cases

  • Quantitative Risk Assessment: Utilizes probability/impact matrices and Expected Monetary Value (EMV) to score risks.
  • Mitigation Strategy Planning: Recommends specific strategies (Avoid, Mitigate, Transfer, Accept) based on risk scores and categories.
  • Portfolio Risk Analysis: Analyzes risk correlations and helps in building risk-adjusted budgets.
  • Use Case: When launching a new software product, use this Skill to identify and quantify risks related to technical feasibility, market adoption, and budget overruns, then develop targeted mitigation plans.

Quick Start

Run the risk matrix analyzer script with your project's portfolio data in JSON format.

Frequently Asked Questions about risk-analysis

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

FAQPage Schema
How do I calculate Expected Monetary Value (EMV) for project risks?

Quantitative risk analysis evaluates project risks using probability and impact matrices alongside EMV calculations. This process assigns measurable financial values to risks, replacing subjective ratings with data-driven scoring for better decision-making.

How do I generate a risk register with mitigation strategies in Python?

You need Python 3 with the statistics, json, argparse, and datetime libraries installed. You must also structure your project portfolio data as a JSON file to serve as input for the risk matrix analyzer script.

What is quantitative risk analysis and how does a probability/impact matrix work?

Quantitative risk analysis evaluates project risks using probability and impact matrices alongside EMV calculations. This process assigns measurable financial values to risks, replacing subjective ratings with data-driven scoring for better decision-making.

Can I use Python to build a risk-adjusted budget for a project portfolio?

Yes, you can build a risk-adjusted budget by providing your portfolio data in JSON format. The Skill analyzes risk correlations across the portfolio and calculates risk-adjusted budget recommendations using statistical analysis.

Do I need Python 3 to run quantitative risk analysis on project data?

To calculate Expected Monetary Value (EMV), this Skill multiplies the probability of each project risk by its financial impact. It then aggregates these values to generate risk-adjusted budget recommendations for your portfolio.