cso

Identify and rank security risks across infrastructure, CI/CD, and AI usage.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/benrapport/Vote-Better --skill cso-benrapport
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cso
Source: https://github.com/benrapport/Vote-Better/tree/main/.claude/skills/gstack/cso
Command: npx skills add https://github.com/benrapport/Vote-Better --skill cso-benrapport

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Security teams need a repeatable, automated CSO-grade audit to identify gaps across infrastructure, CI/CD pipelines, dependency supply chains, and AI model usage. This skill provides an architecture-first approach to secrets archaeology, dependency supply chain checks, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs.

Core Features & Use Cases

  • Architecture-first security assessment covering infrastructure, CI/CD, and AI model governance.
  • Secrets archaeology, dependency-supply-chain checks, and active verification aligned with OWASP and STRIDE threat modeling.
  • Generate a Security Posture Report with prioritized remediation plans and executive summaries.

Quick Start

Run the CSO audit to begin an automated security posture assessment across your infrastructure and code.

Frequently Asked Questions about cso

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

FAQPage Schema
How do I automate a security audit for CI/CD pipelines and dependency supply chains?

Automating a security audit for CI/CD pipelines and dependency supply chains requires a multi-phase assessment that identifies and ranks risks across infrastructure to produce a prioritized remediation plan. This approach applies threat modeling and OWASP-focused checks to guide hardening across cloud and on-prem environments.

What is threat-model driven security assessment for AI model usage?

Threat-model driven security assessment for AI model usage is an architecture-first evaluation method identifying vulnerabilities in LLM integration and governance. It applies structured frameworks like STRIDE to assess AI-specific threats, ensuring security gaps are ranked and addressed within a comprehensive posture report.

How do I generate a Security Posture Report with prioritized remediation steps?

Generating a Security Posture Report with prioritized remediation steps involves running a multi-phase assessment across infrastructure, pipelines, and dependencies. The process outputs severity ratings and actionable remediation steps, providing an executive summary to guide security hardening efforts.

Can I run daily security audits without generating excessive alert noise?

You can run daily security audits with minimal noise by using a zero-noise daily mode applying an 8/10 confidence gate. This ensures only high-confidence vulnerabilities are flagged, contrasting with comprehensive monthly deep scans that lower the bar to a 2/10 threshold for thorough visibility.

Does this security audit approach work for both on-prem and cloud environments?

This security audit approach works for both on-prem and cloud environments by applying a multi-phase assessment strategy evaluating infrastructure and CI/CD pipelines universally. It ensures consistent governance and security hardening across diverse architectural deployments.

What is the difference between daily and comprehensive security audit modes?

The difference between daily and comprehensive security audit modes lies in their confidence thresholds and scope. Daily mode uses an 8/10 confidence gate for zero-noise tracking, while comprehensive mode performs a monthly deep scan with a 2/10 bar to identify all potential gaps across the infrastructure.