Claude Skill

wanshuiyin/Auto-claude-code-research-in-sleep

ARIS（自动睡眠研究）是一套轻量级纯 Markdown 技能集，用于自主机器学习研究。支持跨模型评审、创意发现和实验自动化，兼容 Claude Skill、Codex、OpenClaw 及任何 LLM 智能体，无框架锁定。

概览

Stars12,956
Forks1,177
语言Python
最后更新2026-07-02
最近同步2026-07-03
前往 GitHub

仓库信息

拥有者wanshuiyin
仓库Auto-claude-code-research-in-sleep
完整名称wanshuiyin/Auto-claude-code-research-in-sleep
Repo ID1,177,608,268
GitHub 地址https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

安装这个 Skill

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git
GitHub

Registry 信息

类型mcp_server
质量分85/100
验证状态readme_parsed
最近验证2026-05-28
平台
ClaudeMCPOpenClawCodexCursor
能力
browsercode-reviewpdfmemorysearchimagevideoterminalworkflowai-research
识别文件
README.mddocstests
配置键
URLGEMINI_API_KEYEXA_API_KEYOPENAI_API_KEYANTHROPIC_AUTH_TOKENANTHROPIC_BASE_URL
安装方式
  • git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git
  • npm install -g @openai/codex
  • claude mcp add codex -s user -- codex mcp-server
  • pip install deepxiv-sdk
  • pip install exa-py

项目简介

ARIS（自动睡眠研究）是一套轻量级、纯 Markdown 的技能集，专为自主机器学习研究设计。它支持跨模型评审循环、创意发现和实验自动化，无需框架锁定，兼容 Claude Skill、Codex、OpenClaw 及任何 LLM 智能体。

英文描述

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.

要点

  • 纯 Markdown 技能设计，无框架依赖
  • 跨模型评审循环，自动评估论文与创意
  • 机器学习研究的创意发现与实验自动化
  • 兼容 Claude Skill、Codex、OpenClaw 及任何 LLM 智能体
  • 轻量级、无锁定架构

使用场景

  • 自动化的机器学习论文评审与创意生成
  • 自主实验设计与执行
  • 跨模型研究验证与对比
  • 无需框架开销的快速研究流程原型设计
  • 与 Claude Skill 集成，实现睡眠模式下的研究自动化

README 摘要

# Auto-claude-code-research-in-sleep (ARIS ⚔️🌙) <p align="center"> <a href="https://huggingface.co/papers/2605.03042"> <img src="docs/hf_daily_paper_1.svg" alt="Hugging Face Daily Paper · #1 Paper of the Day" width="360"> </a> </p> [![Technical Report](https://img.shields.io/badge/Technical%20Report-arXiv%3A2605.03042-b31b1b?style=flat&logo=arxiv)](https://huggingface.co/papers/2605.03042) · [![ARIS Intro (HTML)](https://img.shields.io/badge/ARIS%20Intro-HTML%20%C2%B7%20by%20%2Frender--html-1a4a8c?style=flat&logo=html5&logoColor=white)](https://wanshuiyin.github.io/Auto-claude-code-research-in-sleep/ARIS_INTRO.html) · [![ARIS Intro Slides — VALSE 2026](https://img.shields.io/badge/Slides%20%40%20VALSE%202026-PDF%20%C2%B7%20by%20%2Fpaper--talk-EC1C24?style=flat&logo=adobeacrobatreader&logoColor=white)](docs/aris_intro_slides.pdf) · [![AI Agents](https://img.shields.io/badge/AI%20Agents-AGENT__GUIDE.md-4B2E83?style=flat&logo=readthedocs&logoColor=white)](AGENT_GUIDE.md) · [![Featured on PaperWeekly](https://img.shields.io/badge/Featured%20on-PaperWeekly-red?style=flat)](https://mp.weixin.qq.com/s/tDniVryVGjDkkkWl-5sTkQ) · [![Featured in awesome-agent-skills](https://img.shields.io/badge/Featured%20in-awesome--agent--skills-blue?style=flat&logo=github)](https://github.com/VoltAgent/awesome-agent-skills) · [![AI Digital Crew - Project of the Day](https://img.shields.io/badge/AI%20Digital%20Crew-Project%20of%20the%20Day%20(2026.03.14)-orange?style=flat)](https://aidigitalcrew.com) · [![GitHub stars](https://img.shields.io/github/stars/wanshuiyin/Auto-claude-code-research-in-sleep?style=flat&logo=github&logoColor=white&color=gold&label=Stars)](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/stargazers) · [💬 Join Community](#community) · [![Cite](htt

话题

ai-researchai-toolsarisautonomous-agentclaudeclaude-codeclaude-code-skillscodexdeep-learninggptidea-generationllmmachine-learningmcpmcp-serverml-researchopenaipaper-reviewpaper-writingresearch-automation

探索更多

拥有者: wanshuiyin语言: Python

数据来自 GitHub，同步时间：2026-07-03