The Collapse of the Skill Barrier: Building Autonomous CTF Tools Through Pure Intent

Abstract

This talk started with a question: Could AI-generated code consistently create finished, usable projects through strict methodology and intent?

Intent is the New Skill, right? At least, that was the idea I wanted to test through a series of projects. An automated CTF tool ended up being the most relevant—and the most fun.

What came out of it was more than a tool. AI jumped from “help me check this code” to “build me a usable product” incredibly fast. With defined requirements, strict testing, evidence, and a lot of patience, intent really can collapse the skill barrier.

The result was a CTF automation tool tested against public challenges with a high success rate. It also documents what it tried, what worked, what failed, and how it solved each challenge—turning it into a learning tool, not just an automated one.

In this talk, I’m going to show you what worked, what didn’t, and how you can build your own safe starting point for AI red teaming using CTFs.

At the end, I’m also giving you KEYSTONE—an LLM Agnostic Skill built from the lessons learned across hundreds of GitHub updates to help guide your own project from idea to deployment.

AI red teaming is here. Let’s build something useful with it.