ARIS Autonomous ML Research

Skill by ara.so — Claude Code Skills collection.

ARIS (Auto-Research-In-Sleep) is a lightweight Markdown-based system for autonomous ML research that orchestrates cross-model collaboration. It enables AI agents to discover ideas, review papers, run experiments, and write rebuttals — all autonomously. Works with Claude Code, Codex CLI, Cursor, Trae, Antigravity, or any LLM agent.

What ARIS Does

• Idea Generation: Automatically discovers research ideas from arXiv papers, GitHub repos, or research directions
• Cross-Model Review: Uses different LLMs for execution vs. review to break self-play blind spots (e.g., Claude Code executes, GPT-5.4 reviews)
• Experiment Automation: Clones codebases, runs experiments, analyzes results
• Paper Writing: Generates drafts with auto-review loops to improve quality
• Rebuttal Generation: Parses reviews, builds strategy, drafts rebuttals under character limits
• Research Wiki: Persistent knowledge base tracking papers, ideas, experiments, and claims

Installation

As Claude Code Skills (In-Editor)