Can I integrate these attack trees with other tools?

Yes, the skill provides Python templates and logic to export attack tree models into JSON format, making them compatible with other security reporting and visualization tools.

What is an attack tree in security analysis?

An attack tree is a visual diagram representing the various ways a system can be compromised, using a hierarchical structure to break down a high-level goal into specific attack steps.

How does this skill help with defensive planning?

It identifies the weakest links in your infrastructure by calculating the easiest and most cost-effective paths an attacker might take, allowing you to apply mitigations where they matter most.

Is this skill suitable for non-security experts?

While designed for technical depth, the systematic approach and templates help guide developers through the threat modeling process even if they aren't dedicated security professionals.

Attack Tree Security Analysis

Name: Attack Tree Security Analysis
Author: Tahir-yamin

byTahir-yamin

•

Security & Testing

Visualizes complex security threat paths and identifies defensive gaps through systematic attack tree modeling.

This skill enables developers and security engineers to create structured, hierarchical representations of potential security threats to identify and mitigate vulnerabilities before they are exploited. By modeling attack scenarios using AND/OR logic nodes and quantitative attributes—such as execution cost, technical difficulty, and detection risk—it provides a rigorous framework for assessing system posture. It includes specialized Python templates for automating risk calculations and path analysis, making it an essential tool for penetration test planning, security architecture reviews, and high-level risk communication with stakeholders.

Key Features

01Comprehensive gap analysis for mapping mitigations and CVE references

02Automated identification of easiest, cheapest, and stealthiest attack paths

03Hierarchical attack path visualization using AND/OR logic structures

04Quantitative risk assessment for cost, time, skill level, and detection risk

053 GitHub stars

06Structured Python data models for extensible and programmable security modeling

Use Cases

01Documenting threat models for compliance requirements and stakeholder reporting

02Mapping potential breach scenarios for complex cloud and full-stack architectures

03Prioritizing security budget and engineering resources based on likely attack vectors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tahir-yamin/dev-engineering-playbook attack-tree-construction

For use in Claude.ai and ChatGPT

Download Skill