cso

Automate security audits and threat modeling for software repositories.

Updated Jul 26, 2026
One-click install
npx skills add https://github.com/yocxy2/gstack3 --skill cso-yocxy2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cso
Source: https://github.com/yocxy2/gstack3/tree/main/cso
Command: npx skills add https://github.com/yocxy2/gstack3 --skill cso-yocxy2

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill addresses the complexity of maintaining secure infrastructure by automating comprehensive security audits, threat modeling, and supply chain verification, ensuring that security is not a bottleneck but a continuous, integrated process.

Core Features & Use Cases

  • Infrastructure-First Auditing: Performs deep scans for secrets, dependency vulnerabilities, and CI/CD pipeline misconfigurations.
  • AI/LLM Security: Specifically detects prompt injection vectors, unsanitized LLM outputs, and insecure tool-calling patterns.
  • Use Case: Before shipping a new production service, invoke this skill to run a full OWASP Top 10 assessment and STRIDE threat model to identify and remediate critical vulnerabilities before they reach production.

Quick Start

Invoke the cso skill to perform a comprehensive security audit and threat model of the current repository.

Frequently Asked Questions about cso

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

FAQPage Schema
How do I automate security audits for CI/CD pipelines and infrastructure configurations?

Automated security audits scan repositories for secrets, dependency vulnerabilities, and CI/CD pipeline misconfigurations. They apply to infrastructure configurations to ensure compliance with OWASP standards and continuous supply chain integrity verification.

What is STRIDE threat modeling and when do I need it for LLM-integrated applications?

STRIDE threat modeling is a framework for identifying security threats like spoofing and repudiation. It is needed for LLM-integrated applications to detect AI-specific attack vectors, including prompt injection and insecure tool-calling patterns.

Can I detect prompt injection vulnerabilities in my AI application automatically?

Yes, you can detect prompt injection vulnerabilities automatically by scanning for AI-specific attack vectors. This process identifies unsanitized LLM outputs and insecure tool-calling patterns to ensure AI application security.

How to perform an OWASP Top 10 assessment before shipping a production service?

Perform an OWASP Top 10 assessment by running a comprehensive security audit on the repository. This evaluates infrastructure configurations and dependencies to identify critical vulnerabilities before production deployment.

Does automated vulnerability detection work for supply chain integrity verification?

Automated vulnerability detection works for supply chain integrity verification by scanning dependency vulnerabilities. It ensures continuous security monitoring and validates that external components meet compliance standards.

What are the limitations of autonomous threat modeling for software repositories?

Autonomous threat modeling limitations include relying on static repository configurations and predefined OWASP and STRIDE standards. It may not detect zero-day vulnerabilities or complex runtime threats without continuous security monitoring integration.