Auto Claude Code Research In Sleep plugin for Grok Build

Community Claude Code plugin, installs in GrokPluginResearch

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.

How to install Auto Claude Code Research In Sleep in Grok Build

grok plugin install wanshuiyin/Auto-claude-code-research-in-sleep --trust
✓ Install-checked in Grok Buildchecked Oct 18, 2026

Review before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.

We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. Then start a new Grok session, or press r in /plugins, to load it.

Command format: Grok Build's plugin guide

What we checked: on Oct 18, 2026 it installed with grok 1.0.62 and Grok found 85 skills, 1 slash command. That's an install check only: we haven't run it in a live Grok session.

What it contains

Skills (25)

  • ablation-planner — Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
  • alphaxiv — Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not
  • analyze-results — Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
  • arxiv — Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
  • auto-paper-improvement-loop — Autonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
  • auto-review-loop — Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available. I
  • auto-review-loop-llm — Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
  • auto-review-loop-minimax — Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
  • citation-audit — Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports — catching hallucinated authors, wrong years, fabricated venues, version mismatches
  • claims-drafting — Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.
  • comm-lit-review — Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, sch
  • deepxiv — Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
  • dse-loop — Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep par
  • embodiment-description — Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.
  • exa-search — AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
  • experiment-audit — Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check ex
  • experiment-bridge — Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy th
  • experiment-plan — Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute bu
  • experiment-queue — SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiment
  • feishu-notify — Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Use when user says "发飞书", "notify feishu", or other skills need to send status updates.
  • figure-description — Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.
  • figure-spec — Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture"
  • formula-derivation — Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the
  • gemini-search — Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.
  • grant-proposal — Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and gene

About this listing

Auto Claude Code Research In Sleep is a community plugin on GitHub by wanshuiyin, written as a Claude Code plugin that Grok Build installs. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 25 skills. Its license is MIT. We checked commit 15c0b799e6cd. It's one of 52 listings in the Research category on GrokStacks.

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Auto Claude Code Research In Sleep FAQ

How do I install Auto Claude Code Research In Sleep in Grok Build?

Run grok plugin install wanshuiyin/Auto-claude-code-research-in-sleep --trust. We install-checked this command in Grok Build. We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. Then start a new Grok session, or press r in /plugins, to load it.

Is Auto Claude Code Research In Sleep an official Grok Build plugin?

No. Auto Claude Code Research In Sleep is a community plugin on GitHub by wanshuiyin, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.

What does Auto Claude Code Research In Sleep include?

According to what Grok loaded in our install check, Auto Claude Code Research In Sleep includes 25 skills: ablation-planner, alphaxiv, analyze-results, arxiv, auto-paper-improvement-loop, auto-review-loop….

Details

Type
Plugin
Category
Research
Source
Community Claude Code plugin, installs in Grok
License
MIT
Author
wanshuiyin
Keywords
ai-research, ai-tools, aris, autonomous-agent, claude, claude-code, claude-code-skills, codex, deep-learning, gpt, idea-generation, llm
Source repo
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
Checked commit
15c0b799e6cd
Checked by GrokStacks
Install-checked in Grok Build on Oct 18, 2026; not run in a live session

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<a href="https://grokstacks.com/p/auto-claude-code-research-in-sleep/" style="display:block;max-width:380px;box-sizing:border-box;padding:14px 16px;border:1px solid #2a2e3c;border-radius:12px;background:#0a0b0f;color:#e8eaf0;font:14px/1.45 -apple-system,Segoe UI,Roboto,Helvetica,Arial,sans-serif;text-decoration:none"><span style="display:block;font-size:16px;font-weight:700;color:#e8eaf0">Auto Claude Code Research In Sleep</span><span style="display:block;margin:2px 0 8px;font-size:12px;color:#9aa0b1">Community plugin for Grok Build · 25 skills</span><span style="display:block;margin:0 0 10px;color:#c9cdd8">ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review…</span><span style="font-size:12px;font-weight:600;color:#7c9cff">View on GrokStacks →</span></a>

Markdown summary

**[Auto Claude Code Research In Sleep on GrokStacks](https://grokstacks.com/p/auto-claude-code-research-in-sleep/)**: Community plugin for Grok Build with 25 skills. Install: `grok plugin install wanshuiyin/Auto-claude-code-research-in-sleep --trust`

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