Auto-claude-code-research-in-sleep
by wanshuiyin
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.
13,904stars
1,244forks
Python
Added 3/12/2026
AI Agentsai-researchai-toolsarisautonomous-agentclaudeclaude-codeclaude-code-skillscodexdeep-learninggptidea-generationllmmachine-learningmcpmcp-serverml-researchopenaipaper-reviewpaper-writingresearch-automation
Installation
# Add to your Claude Code skills
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepGetting Started
Guides for using ai agents skills like Auto-claude-code-research-in-sleep.
- Caveman: Cut Claude Token Use by 65%How agent-side prompt compression works, when to use it, and when not to.
- What is an AI Skills Marketplace?Definitions, how marketplaces work, and how to choose between them in 2026.
- Getting Started with AI SkillsFirst-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
Security ReportVerified
Last scanned: 4/18/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-18T05:43:40.797Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}Auto-claude-code-research-in-sleep (ARIS ⚔️🌙)
-orange?style=flat){kind=icon}
💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone ARIS-Code CLI — enjoy any way you like!
🌱 ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go.
🤖 AI agents: Read AGENT_GUIDE.md instead — structured for LLM consumption, not human browsing.
🛡️ ARIS audits its own output → now Anti-Autoresearch audits everyone's. It catalogs 46 integrity hack-patterns across 8 families (A–H), plus 13 zero-verdict-weight AI-style impressions and 2 advisory signals — 61 signals total — and checks a submission for them end-to-end, producing a deterministic, reviewer-ready integrity report. Self-consistency + fabrication forensics, not an AI-text detector.
🎬 ARIS goes multimodal → ARIS-Movie-Director — hand it a rough story and get back a movie told in still frames, checked scene by scene (the reference run has 19 scenes). Long stories usually break when the model forgets earlier details or judges its own work — so ARIS keeps a research-wiki for memory and has other models check every frame.
🧭 The same loop also makes clean method / flow diagrams — the figure above was made with it. Entry points in ARIS-Movie-Director:
/movie-pipelineand/method-figure, the skill that made this figure.
🎯 准备 2026 AI 秋招？ → 🌐 ARIS-in-AI-Offer · GitHub repo · 中文 README —— 23 篇双语 ML / LLM / 多模态 / 生成式 / Agent 面试 cheat sheet，每篇 = 公式推导 + 从零 PyTorch + 25 高频面试题（L1 / L2 / L3），全部由 ARIS 的 /render-html 自动生成。希望大家秋招轻松一点 🌱
📝 Three long-form blogs, cross-model collaborative writing via
/render-html— Continuous DLM — a representation-perspective survey (2026 H1) · Cosmos 3 — understanding + generation in one Transformer (MoT) · Diffusion × representation × manifold learning.
🛰 Keep an eye on your agent windows — Claude Fleet (by @tianyilt; local read-only dashboard for many parallel Claude Code / Codex windows, full-text transcript search — worth a ⭐), or the lighter built-in ARIS-Monitor (a tiny always-on-top macOS widget that lights up 🔴 when a session waits for your approval; click to jump there).
ARIS-Monitor — built-in, no clone / no pip / no browser:
cd aris-monitor && ./run.sh
# a borderless panel floats top-right; click a row to jump to that terminal
Claude Fleet — full web dashboard:
git clone https://github.com/tianyilt/claude-fleet
cd claude-fleet && bash run.sh
# open http://127.0.0.1:7878 in your browser
🚀 Beyond 科研 → 任何 "研究"：ARIS-Anything 把 ARIS 的五步 loop（plan / draft / 对抗审 / 迭代 / 持久化）推广到非学术的结构化研究——投资尽调 / 法律研究 / 市场研究 / 自驱学习 / 调查新闻 / 工程复盘等。
🔥 ARIS-Code CLI — 独立安装版 · English | ⬇️ Download ·
📰 ARIS-Code v0.4.22 (2026-07) — latest is the skills-resync + GPT-5.6-Sol release: the bundled skill set catches up 93 commits to this repo (79 bundled skills — incl. the new paper-poster-html measurement-gated poster pipeline and meta-apply — plus 11 new shared-references docs), the rev
Frequently Asked Questions
What is Auto-claude-code-research-in-sleep?
Auto-claude-code-research-in-sleep is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by wanshuiyin. 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. It has 13,904 GitHub stars.
Is Auto-claude-code-research-in-sleep safe to use?
Yes. Auto-claude-code-research-in-sleep passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
How do I install Auto-claude-code-research-in-sleep?
Clone the repository with "git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep" and add it to your Claude Code skills directory (see the Installation section above).
What programming language is Auto-claude-code-research-in-sleep written in?
Auto-claude-code-research-in-sleep is primarily written in Python. It is open-source under wanshuiyin on GitHub, so you can review or fork the full source.
Are there alternatives to Auto-claude-code-research-in-sleep?
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Auto-claude-code-research-in-sleep against similar tools.
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