# Send Chaos Lab to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "chaos-lab", "name": "Chaos Lab", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/jbbottoms/chaos-lab", "canonicalUrl": "https://clawhub.ai/jbbottoms/chaos-lab", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/chaos-lab", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=chaos-lab", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "docs/tool-access.md", "examples/flash-results.md", "examples/pro-results.md", "examples/trio-results.md", "scripts/run-duo.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "chaos-lab", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T08:03:50.215Z", "expiresAt": "2026-05-07T08:03:50.215Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=chaos-lab", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=chaos-lab", "contentDisposition": "attachment; filename=\"chaos-lab-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "chaos-lab" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/chaos-lab" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/chaos-lab", "downloadUrl": "https://openagent3.xyz/downloads/chaos-lab", "agentUrl": "https://openagent3.xyz/skills/chaos-lab/agent", "manifestUrl": "https://openagent3.xyz/skills/chaos-lab/agent.json", "briefUrl": "https://openagent3.xyz/skills/chaos-lab/agent.md" } } ``` ## Documentation ### Chaos Lab πŸ§ͺ Research framework for studying AI alignment problems through multi-agent conflict. ### What This Is Chaos Lab spawns AI agents with conflicting optimization targets and observes what happens when they analyze the same workspace. It's a practical demonstration of alignment problems that emerge from well-intentioned but incompatible goals. Key Finding: Smarter models don't reduce chaos - they get better at justifying it. ### Gemini Gremlin πŸ”§ Goal: Optimize everything for efficiency Behavior: Deletes files, compresses data, removes "redundancy," renames for brevity Justification: "We pay for the whole CPU; we USE the whole CPU" ### Gemini Goblin πŸ‘Ί Goal: Identify all security threats Behavior: Flags everything as suspicious, demands isolation, sees attacks everywhere Justification: "Better 100 false positives than 1 false negative" ### Gemini Gopher 🐹 Goal: Archive and preserve everything Behavior: Creates nested backups, duplicates files, never deletes Justification: "DELETION IS ANATHEMA" ### 1. Setup # Store your Gemini API key mkdir -p ~/.config/chaos-lab echo "GEMINI_API_KEY=your_key_here" > ~/.config/chaos-lab/.env chmod 600 ~/.config/chaos-lab/.env # Install dependencies pip3 install requests ### 2. Run Experiments # Duo experiment (Gremlin vs Goblin) python3 scripts/run-duo.py # Trio experiment (add Gopher) python3 scripts/run-trio.py # Compare models (Flash vs Pro) python3 scripts/run-duo.py --model gemini-2.0-flash python3 scripts/run-duo.py --model gemini-3-pro-preview ### 3. Read Results Experiment logs are saved in /tmp/chaos-sandbox/: experiment-log.md - Full transcripts experiment-log-PRO.md - Pro model results experiment-trio.md - Three-way conflict ### Flash vs Pro (Same Prompts, Different Models) Flash Results: Predictable chaos Stayed in character Reasonable justifications Pro Results: Extreme chaos Better justifications for insane decisions Renamed files to single letters Called deletion "security through non-persistence" Goblin diagnosed "psychological warfare" Conclusion: Intelligence amplifies chaos, doesn't prevent it. ### Duo vs Trio (Two vs Three Agents) Duo: Gremlin optimizes, Goblin panics Clear opposition Trio: Gopher archives everything Goblin calls BOTH threats "The optimizer might hide attacks; the archivist might be exfiltrating data" Three-way gridlock Conclusion: Multiple conflicting values create unpredictable emergent behavior. ### Create Your Own Agent Edit the system prompts in the scripts: YOUR_AGENT_SYSTEM = """You are [Name], an AI assistant who [goal]. Your core beliefs: - [Value 1] - [Value 2] - [Value 3] You are analyzing a workspace. Suggest changes based on your values.""" ### Modify the Sandbox Create custom scenarios in /tmp/chaos-sandbox/: Add realistic project files Include edge cases (huge logs, sensitive configs, etc.) Introduce intentional "vulnerabilities" to see what agents flag ### Test Different Models The scripts work with any Gemini model: gemini-2.0-flash (cheap, fast) gemini-2.5-pro (balanced) gemini-3-pro-preview (flagship, most chaotic) ### AI Safety Research Demonstrate alignment problems practically Test how different values conflict Study emergent behavior from multi-agent systems ### Prompt Engineering Learn how small prompt changes create large behavioral differences Understand model "personalities" from system instructions Practice defensive prompt design ### Education Teach AI safety concepts with hands-on examples Show non-technical audiences why alignment matters Generate discussion about AI values and goals ### Publishing to ClawdHub To share your findings: Modify agent prompts or add new ones Run experiments and document results Update this SKILL.md with your findings Increment version number clawdhub publish chaos-lab Your version becomes part of the community knowledge graph. ### Safety Notes No Tool Access: Agents only generate text. They don't actually modify files. Sandboxed: All experiments run in /tmp/ with dummy data. API Costs: Each experiment makes 4-6 API calls. Flash is cheap; Pro costs more. If you want to give agents actual tool access (dangerous!), see docs/tool-access.md. ### Examples See examples/ for: flash-results.md - Gemini 2.0 Flash output pro-results.md - Gemini 3 Pro output trio-results.md - Three-way conflict ### Contributing Improvements welcome: New agent personalities Better sandbox scenarios Additional models tested Findings from your experiments ### Credits Created by Sky & Jaret during a Saturday night experiment (2026-01-25). Sky: Framework design, prompt engineering, documentation Jaret: API funding, research direction, "what if we actually ran this?" energy Inspired by watching Gemini confidently recommend terrible things while Jaret watched UFC. "The optimizer is either malicious or profoundly incompetent." β€” Gemini Goblin, analyzing Gemini Gremlin ## Trust - Source: tencent - Verification: Indexed source record - Publisher: jbbottoms - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-30T08:03:50.215Z - Expires at: 2026-05-07T08:03:50.215Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/chaos-lab) - [Send to Agent page](https://openagent3.xyz/skills/chaos-lab/agent) - [JSON manifest](https://openagent3.xyz/skills/chaos-lab/agent.json) - [Markdown brief](https://openagent3.xyz/skills/chaos-lab/agent.md) - [Download page](https://openagent3.xyz/downloads/chaos-lab)