Explore OpenClaw, Governance & Red Team Arsenal
Solution overview
This lab introduces the OpenClaw AI agent platform — and by the end of it, you'll have a working Red Team assistant that plans attacks, waits for your approval, and adapts its analysis based on how you ask.
You start by exploring what makes an AI assistant different from a chatbot: the workspace files that give it identity, tool awareness, and operational boundaries. You'll open them, read them, and see exactly how they shape the AI's behavior — no black box.
Then you test the safety controls. You'll activate the Red Team persona, approve a live network scan, and cancel a file upload mid-plan — proving that every offensive action has a human decision point. Nothing runs without your say-so.
Finally, you build. Three Red Team skills, each mapped to a phase of a real attack chain — reconnaissance, remote execution, and Active Directory compromise. After each skill, you ask the AI the same question two different ways. The first time, you get a tool list. The second time, you get a battle plan with routing analysis and ranked attack vectors.
Same AI. Same skill. Different question. That's the pattern you'll carry through the rest of this learning path.