Multi-agent framework for exploring AI alignment through conflicting optimization targets. Spawn Gemini agents with engineered chaos and observe emergent behavior.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install chaos-labOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install chaos-labβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/chaos-lab/π‘Extract and place the folder at the path above, then restart your agent.
Category
π€AI Agent & AutomationPlatforms
What Chaos Lab can do for your AI workflow
Multi-agent framework directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,934+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Chaos Lab
Help me get started with Chaos Lab
Explains what Chaos Lab does, walks through the setup, and runs a quick demo based on your current project
Use Chaos Lab to multi-agent framework for exploring AI alignment through conflictin...
Invokes Chaos Lab with the right parameters and returns the result directly in the conversation
What can I do with Chaos Lab in my ai agent & automation workflow?
Lists the top use cases for Chaos Lab, with example commands for each scenario
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Chaos Lab extends your AI assistant with the ability to multi-agent framework for exploring AI alignment through conflicting optimization targets. Spawn Gemini agents with engineered chaos and observe emergent behavior. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Chaos Lab as its underlying capability.
Chaos Lab works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Chaos Lab once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Chaos Lab, copy the skill folder to `~/.claude/skills/chaos-lab/` for use across all your projects, or `.claude/skills/chaos-lab/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/chaos-lab` or just describe your goal and the AI will pick it up automatically.
Chaos Lab has been installed 1,934 times, making it one of the more actively used skills in the AI Agent & Automation category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/chaos-lab/ for personal use (all projects), or .claude/skills/chaos-lab/ for project-specific use. Restart your AI client, then invoke with /chaos-lab or let the AI discover it automatically.
Chaos Lab supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Chaos Lab is free to install. Check the repository for licensing information.
Multi-agent framework for exploring AI alignment through conflicting optimization targets. Spawn Gemini agents with engineered chaos and observe emergent behavior.
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