Automate ML research loops with ARIS skills

Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.

Prerequisites

ARIS skills or ARIS-Code CLI, Claude Code/Codex/OpenClaw-compatible agent, configured model providers

Installation

Use the upstream install or setup path that matches your environment:

• git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git
• npm install -g @openai/codex
• pip install deepxiv-sdk
• pip install exa-py

Requirements and caveats from upstream:

• 🪶 Radically lightweight — zero dependencies, zero lock-in. The entire system is plain Markdown files. No framework to learn, no database to maintain, no Docker to configure, no daemon to babysit. Every skill is a...
• 2026-04-03 — ☁️ Modal serverless GPU — no GPU? gpu: modal in CLAUDE.md, one command (modal run launcher.py), no SSH, no Docker, auto scale-to-zero. $30/month free tier —...

Basic usage or getting-started notes:

• v0.4.10 (2026-05-17) — Stream + MCP reliability + multi-provider pricing. C6 whole-stream restart in Anthropic MessageStream + OpenAI SSE loop on chunk decode failure / premature EOF (ARIS_STREAM_RETRY, default 2,...

• 🌙 Let Claude Code do research while you sleep. Wake up to find your paper scored, weaknesses identified, experiments run, and narrative rewritten — autonomously.

• Custom Claude Code skills for autonomous ML research workflows. These skills orchestrate cross-model collaboration — Claude Code drives the research while an exter...

• Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

• Extracted from upstream docs: https://raw.githubusercontent.com/wanshuiyin/Auto-claude-code-research-in-sleep/HEAD/README.md

Documentation

• https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

Source

• Agent Skill Exchange