
Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
The Lens
Best-README-Template solves a common problem: developers build great tools but write terrible READMEs. You define a research question or experiment, go to bed, and come back to results in the morning.
It's a set of lightweight Markdown-only skills. No framework, no lock-in. Works with Claude Code, Codex, OpenClaw, or any LLM agent that reads Markdown prompts. The loop handles idea discovery, cross-model review (have one model check another's work), and experiment automation. MIT licensed.
The catch: 'autonomous overnight research' sounds magical but the results are only as good as the constraints you set. Vague goals produce vague output and burn through API credits. You need to be specific about what success looks like before you walk away. And the cross-model review feature means you're paying for multiple LLM calls per iteration.
Free vs Self-Hosted vs Paid
fully freeFully open source under MIT. No paid tier, no hosted version. The skills are Markdown files you add to your agent setup. Cost is entirely in the LLM API calls, and overnight loops can rack those up fast if you're not careful with scope.
Free skills. Budget for API costs. Overnight loops add up.
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