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openai-security-threat-model

Generates repository-specific threat models from codebase analysis.

Updated Mar 1, 2026
Search Tags:#threat modeling#security analysis#risk assessment#AppSec#repository security
One-click install
npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill openai-security-threat-model
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-security-threat-model
Source: https://github.com/cpfcoaching/glowing-palm-tree/tree/main/.agent/skills/openai-security-threat-model
Command: npx skills add https://github.com/cpfcoaching/glowing-palm-tree --skill openai-security-threat-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of detailed threat models for specific repositories, identifying potential security risks and providing actionable mitigations.

Core Features & Use Cases

  • Repository-Grounded Threat Modeling: Creates threat models based on repository content and usage.
  • AppSec-Grade Models: Delivers models that are actionable and specific to the repository's architecture.
  • Risk Prioritization: Prioritizes threats based on likelihood and impact, with explicit reasoning.
  • Mitigation Recommendations: Offers recommendations for existing and recommended mitigations.

Quick Start

Use the openai-security-threat-model skill to generate a threat model for the 'repo-name' repository.

Frequently Asked Questions about openai-security-threat-model

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

FAQPage Schema
How do I generate a threat model for a specific code repository?▼

To generate a threat model for a code repository, you analyze codebase content to identify trust boundaries, assets, and attacker capabilities. This Skill requires Python scripts and YAML configuration to produce repository-specific AppSec risk assessments.

What is repository-specific threat modeling in AppSec?▼

Repository-specific threat modeling in AppSec is the process of analyzing codebase content to identify trust boundaries, assets, and abuse paths. It automates detailed security risk assessment and provides actionable mitigations tailored to the repository's architecture.

How do you prioritize security risks during threat modeling?▼

You prioritize security risks during threat modeling by evaluating the likelihood and impact of identified threats. This process provides explicit reasoning for risk prioritization and offers recommendations for existing and recommended security mitigations.

Do I need Python and YAML to run this security analysis?▼

Yes, you need Python and YAML to run this security analysis. The threat modeling process requires Python scripts for execution and a YAML configuration file to define the settings for analyzing repository content and generating AppSec-grade models.

Can I use pandas and scikit-learn for repository security risk assessment?▼

Yes, this repository security risk assessment utilizes pandas, numpy, and scikit-learn dependencies. These libraries support the Python scripts that analyze codebase content and generate detailed threat models for AppSec professionals.

What are the limitations of automating AppSec threat models for codebases?▼

A limitation of automating AppSec threat models is that it requires Python scripts and YAML configuration to execute properly. The analysis is grounded in repository content, meaning its accuracy depends entirely on the codebase content provided for identifying trust boundaries and abuse paths.

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