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security-threat-model-openai

Analyzes AI code repositories to identify threats and prioritize mitigation strategies for OpenAI integrations.

2|1|Updated Apr 1, 2026
Search Tags:#threat modeling#AI security#risk assessment#repository analysis#secure system design
One-click install
npx skills add https://github.com/gil-kapel/cursor-course-2026 --skill security-threat-model-openai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: security-threat-model-openai
Source: https://github.com/gil-kapel/cursor-course-2026/tree/main/course/he_course/module-02-skills-and-agents/lesson-2.8-security-agent/bundled-skills/security-threat-model-openai
Command: npx skills add https://github.com/gil-kapel/cursor-course-2026 --skill security-threat-model-openai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides detailed threat modeling tailored to code repositories involving AI components, enabling security teams to identify and prioritize vulnerabilities in AI-driven systems.

Core Features & Use Cases

  • Threat Modeling: Generate repository-specific threats, abuse paths, and mitigation strategies based on the system architecture.
  • Risk Prioritization: Assess threats with likelihood and impact to focus security efforts effectively.
  • Use Case: Security engineers can quickly produce an actionable attack surface analysis for an AI application hosted on GitHub, ensuring comprehensive coverage before deployment.

Quick Start

Use the security threat model skill to analyze the current repository and identify key security risks and mitigation points.

Frequently Asked Questions about security-threat-model-openai

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

FAQPage Schema
How do I perform threat modeling for an AI application codebase?▼

Threat modeling for an AI application analyzes your code repository to identify security threats and prioritize mitigation strategies based on system architecture, trust boundaries, and attack vectors.

What is the best way to identify security risks in OpenAI integrations?▼

Identifying security risks in OpenAI integrations requires analyzing your repository's AI components to map attack vectors and generate tailored mitigation strategies across trust boundaries.

Can I use this to assess risk for repositories hosted on GitHub?▼

Yes, you can analyze AI applications hosted on GitHub. The skill assesses the repository's architecture to produce an actionable attack surface analysis before deployment.

How do I prioritize vulnerabilities in an AI-driven system?▼

To prioritize vulnerabilities in an AI-driven system, the skill assesses threats by likelihood and impact, focusing your security efforts effectively on the most critical mitigation points.

Do I need to understand trust boundaries to analyze secure system design?▼

Yes, understanding trust boundaries, assets, and attack vectors is required. The skill relies on these AI environment concepts to accurately model threats for your specific repository.

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