cso

Automate end-to-end infrastructure security audits with confidence-gated reporting.

Updated Jul 21, 2025
One-click install
npx skills add https://github.com/robertzengcn/aiFetchly --skill cso-robertzengcn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cso
Source: https://github.com/robertzengcn/aiFetchly/tree/main/.agents/skills/gstack/cso
Command: npx skills add https://github.com/robertzengcn/aiFetchly --skill cso-robertzengcn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual security audits are slow, inconsistent, and buried in low-confidence false positives that waste engineering time. This Skill automates end-to-end infrastructure security testing with a confidence gate that only reports high-risk, verified findings for daily use, plus a deep scan mode for monthly comprehensive reviews.

Core Features & Use Cases

  • Secrets Archaeology: Scan codebases for exposed API keys, tokens, and credentials across all file types and commit history.
  • Supply Chain Security: Audit dependencies for known vulnerabilities, malicious packages, and CI/CD pipeline misconfigurations.
  • AI/LLM Security Checks: Identify prompt injection risks, RAG poisoning vulnerabilities, and unsafe tool calling permissions in AI features.
  • OWASP & STRIDE Validation: Run automated OWASP Top 10 scans and STRIDE threat modeling for web and cloud infrastructure.
  • Active Verification: Test identified vulnerabilities in a safe environment to eliminate false positives before reporting.
  • Use Case: A SaaS engineering team can run a daily zero-noise audit before deployments to catch critical issues fast, and a monthly deep scan to meet compliance requirements.

Quick Start

Use the cso skill to run a daily zero-noise security audit of the current project and share only high-confidence findings with the engineering team.

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 to reduce false positives before deployment?

Automated security audits with active verification test vulnerabilities in a safe environment to eliminate false positives. This confidence-gated approach only reports high-risk, verified findings, ensuring zero-noise daily pre-deployment reviews.

How do I scan codebases for exposed API keys and credentials in git history?

Secrets archaeology scans codebases to identify exposed API keys, tokens, and credentials across all file types and commit history. This automates infrastructure security testing to catch exposed secrets during recurring audits.

Can I check dependencies for supply chain security and CI/CD pipeline misconfigurations?

Supply chain security audits dependencies for known vulnerabilities, malicious packages, and CI/CD pipeline misconfigurations. This validates infrastructure components during monthly deep scans and compliance checks.

Does this support OWASP Top 10 validation and STRIDE threat modeling for web infrastructure?

OWASP Top 10 validation and STRIDE threat modeling support scanning web and cloud infrastructure. This automates end-to-end security testing to identify high-risk vulnerabilities across infrastructure and compliance checks.

How do I identify prompt injection and RAG poisoning risks in AI features?

AI and LLM security checks identify prompt injection risks, RAG poisoning vulnerabilities, and unsafe tool calling permissions. This validates AI features during infrastructure security audits and recurring trend tracking.

What is the best way to run recurring security trend tracking across audit runs?

Recurring trend tracking across audit runs uses two confidence-gated modes: daily zero-noise scans for fast pre-deployment checks and monthly deep scans for comprehensive compliance reviews. This generates shareable actionable reports for engineering teams.