Auto-claude-code-research-in-sleep

wanshuiyin/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.

Install

GitHub: wanshuiyin/Auto-claude-code-research-in-sleep
Stars: ★ 18k
License: MIT
Language: Python
Last push: Oct 24, 2026
Topics: ai-research · ai-tools · aris · autonomous-agent · codex

Good for

Automate ML research with cross-model review loops: one model executes, an independent model reviews
Discover and screen research ideas
Automate experiments
Draw method diagrams with /method-figure

Getting started

Install with npx skills add wanshuiyin/Auto-claude-code-research-in-sleep
Follow Quick Start step 2 to register the codex MCP server used as reviewer (Codex by default), or choose another model combination
Run the research workflow from Claude Code, Codex or another supported agent

Before you install

Markdown-only skills with no framework lock-in. codex-cli 0.154.0 removed codex mcp-server, so existing installs need one re-registration (Quick Start step 2b); alternative combinations such as ModelScope-hosted models need no Claude or OpenAI API.

Summarized by AI from the project docs; check the official docs before relying on it.

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