anti-autoresearch
11 skills173
@wanshuiyinAutomation
Plugin
aris
Runs an automated research loop for ML papers, covering arXiv search and paper lookup, analysis of experiment results, planning of ablation studies, and autonomous review and revision of a draft paper until it is ready for submission.
Plugin Signal97/100Strong
maintained99
capable94
documented100
adopted91
Claude Code
> /plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep> /plugin install aris@aris
Codex
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep -a codex
Cursor
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep -a cursor
Gemini CLI
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep -a gemini-cli
GitHub Copilot
$ copilot plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep$ copilot plugin install aris@aris
OpenCode
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep -a opencode
Windsurf
$ npx skills add wanshuiyin/Auto-claude-code-research-in-sleep -a windsurf
In this plugin
- skills
- ablation-planner
- alphaxiv
- analyze-results
- arxiv
- auto-paper-improvement-loop
- auto-review-loop-llm
- auto-review-loop-minimax
- auto-review-loop
- citation-audit
- citation-crosscheck
- claims-drafting
- comm-lit-review
- deepxiv
- dse-loop
- embodiment-description
- exa-search
- experiment-audit
- experiment-bridge
- experiment-plan
- experiment-queue
- feishu-notify
- figure-description
- figure-spec
- firecrawl-search
- formula-derivation
- gemini-search
- grant-proposal
- idea-creator
- idea-discovery-robot
- idea-discovery
- integrity-forensics
- interview-cheatsheet
- invention-structuring
- jurisdiction-format
- keenable-search
- kill-argument
- lean-formalize
- mermaid-diagram
- meta-apply
- meta-optimize
- monitor-experiment
- novelty-check
- openalex
- overleaf-sync
- paper-claim-audit
- paper-compile
- paper-figure
- paper-illustration-image2
- paper-illustration
- paper-plan
- paper-poster-html
- paper-poster
- paper-slides
- paper-talk
- paper-write
- paper-writing
- patent-novelty-check
- patent-pipeline
- patent-review
- pixel-art
- prior-art-search
- proof-checker
- proof-orchestrator
- proof-writer
- qzcli
- rebuttal
- render-html
- research-implement-feature
- research-lit
- research-pipeline
- research-refine-pipeline
- research-refine
- research-review
- research-wiki
- resubmit-pipeline
- result-to-claim
- run-experiment
- semantic-scholar
- serverless-modal
- slides-polish
- specification-writing
- system-profile
- training-check
- vast-gpu
- web-debug-search
- wiki-enrich
- writing-systems-papers
- agents
- commands
What's inside
87 Skills
/ablation-plannerUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission./alphaxivQuick 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 for broad literature search./analyze-resultsAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data./arxivSearch, 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-loopAutonomously 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-llmAutonomous 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
- /auto-review-loop
- /citation-audit
- /citation-crosscheck
- /claims-drafting
- /comm-lit-review
- /deepxiv
- /dse-loop
- /embodiment-description
- /exa-search
- /experiment-audit
- /experiment-bridge
- /experiment-plan
- /experiment-queue
- /feishu-notify
- /figure-description
- /figure-spec
- /firecrawl-search
- /formula-derivation
- /gemini-search
- /grant-proposal
- /idea-creator
- /idea-discovery-robot
- /idea-discovery
- /integrity-forensics
- /interview-cheatsheet
- /invention-structuring
- /jurisdiction-format
- /keenable-search
- /kill-argument
- /lean-formalize
- /mermaid-diagram
- /meta-apply
- /meta-optimize
- /monitor-experiment
- /novelty-check
- /openalex
- /overleaf-sync
- /paper-claim-audit
- /paper-compile
- /paper-figure
- /paper-illustration-image2
- /paper-illustration
- /paper-plan
- /paper-poster-html
- /paper-poster
- /paper-slides
- /paper-talk
- /paper-write
- /paper-writing
- /patent-novelty-check
- /patent-pipeline
- /patent-review
- /pixel-art
- /prior-art-search
- /proof-checker
- /proof-orchestrator
- /proof-writer
- /qzcli
- /rebuttal
- /render-html
- /research-implement-feature
- /research-lit
- /research-pipeline
- /research-refine-pipeline
- /research-refine
- /research-review
- /research-wiki
- /resubmit-pipeline
- /result-to-claim
- /run-experiment
- /semantic-scholar
- /serverless-modal
- /slides-polish
- /specification-writing
- /system-profile
- /training-check
- /vast-gpu
- /web-debug-search
- /wiki-enrich
- /writing-systems-papers
Badges
README
Auto-claude-code-research-in-sleep (ARIS ⚔️🌙)
🌱 ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go.
💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw / DeepSeek Harness — enjoy any way you like!The executor drives, an independent model (Codex MCP by default) reviews. Alternative model combinations, including ModelScope-hosted models, need no Claude or OpenAI API.
📦 Those are the skills installed directly. Want it in one command? ARIS also ships as a standalone CLI and as plugins: 
🤝 SuperARIS — Your personal research agent with ARIS, powered by a team of agents.
Put ARIS workflows in the hands of a persistent team: your main agent coordinates, while engineering and writing run in parallel. Every member can read ARIS skills and project context on demand. Work directly with Codex on experiments and Gemini on ideas and writing, or choose an all-Codex team. The main agent follows up on deliverables; project files carry memory across sessions. Your existing MCP workers and independent reviewers stay in the loop.
Demo preview · click to watch the full 1080p video (~21 seconds).
❗ 
codex mcp-server — the entry point every ARIS reviewer call used. No impact on ARIS: the codex MCP server is now ARIS's own bridge over codex exec (mcp-servers/codex-exec/), same tools, same results, all 82 skills unchanged, ultra and per-thread resume intact. One re-registration is all it takes — already installed? → Quick Start step 2b · new install → step 2 · what changed.
🧩 The ARIS family — same method, other jobs. One line each; the details live in their own repos.
CLAUDE.md / AGENTS.md against the four shapes agents over-defend in (Hashing, Edge cases, Rubrics, Overbuild), bounding what the agent proposes, never what it looks for. Anti-Autoresearch: 61 integrity signals into a deterministic, reviewer-ready report — fabrication forensics, not an AI-text detector.
/method-figure).
cd aris-monitor && ./run.sh. Many windows? Claude Fleet by @tianyilt is the full dashboard.
🔥 ARIS-Code CLI — 独立安装版 · English | ⬇️ Download · 
ARIS_REASONING_EFFORT works on the Anthropic channel, tool calls through {}-placeholder relays fixed, OS proxy honoured. v0.4.27: launching and quitting the REPL leaves no empty session file. v0.4.26: the fable alias and /model now point at Fable 5.1 (default stays Opus 5). v0.4.25: the Codex reviewer works again on codex-cli ≥ 0.154 (built-in codex exec bridge, nothing to register), /since takes you back to your last input, /resume lists sessions by index, Windows multi-line paste fixed (pending confirmation), 83 bundled skills on GPT-6-Astra.
ARIS-Code — screenshot, what's in v0.4.28, per-release details, older versions
📰 ARIS-Code v0.4.28 (2026-09) — latest: ARIS_REASONING_EFFORT works on the Anthropic channel (#446), tool calls through relays that send a {} placeholder no longer fail (#444), and the OS proxy on Windows / macOS is used without exporting HTTPS_PROXY (#401). v0.4.27: launching and quitting the REPL no longer leaves an empty session file, and /resume lists only sessions with messages (#439 follow-up). v0.4.26 made Fable 5.1 the fable alias and the first /model entry (the default executor stays Opus 5). v0.4.25 is the reviewer-bridge release: codex-cli 0.154 removed codex mcp-server, so every Codex review from ARIS-Code died on an updated codex. The reviewer now runs over a built-in codex exec bridge — no mcpServers.codex entry, old entries migrate in memory, thread records interoperate with ARIS's Python bridge. Also: /since replays everything after your last input (folded like the live display, /since full for complete output), /resume lists sessions with indices and shows where you stopped (#439), Windows multi-line paste no longer submits line by line (#430, pending confirmation), the Windows shim message carries the native installer (#428), and the bundle moves to 83 skills on GPT-6-Astra. Recent headliners: v0.4.24 — Claude 5 model refresh (Opus 5 default, Fable 5 tier, availability chain) and v0.4.23 — output folding. Caps a 24-release run (v0.4.5 → v0.4.28); per-release detail below. Credits: @GetIT-Sunday, @Anduin9527, @GO-player-hhy, @Jxy-yxJ, @screw-44, @StevenUST, @opposj, @ShijunLei-cn, @algojogacor, @YukinoshitaLove, @jinliye-2026, @SajimJC, @JasmineLCY.
Per-release details (v0.4.5 → v0.4.28)
Stars on GitHub
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- 18.9k
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@vercel-labs-2Questions about aris.
Install it with the command on its page. It includes ablation-planner, alphaxiv, analyze-results. Its skills do not fire on their own yet. Free and open source.
- What is aris?
- wanshuiyin/auto-claude-code-research-in-sleep is a Claude Code plugin of research skills and commands for automating the research workflow, from literature search and experiment analysis to paper writing and review. It suits researchers who want an autonomous pipeline running their ML research cycle.
- How do I install aris?
- Run these in Claude Code: /plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep then /plugin install aris@aris. Then prompt normally.
- Does aris auto-invoke its skills?
- Not yet. It is indexed on Flowy as a plain plugin.
- Is aris free?
- Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.
- Which coding agents can use aris's skills?
- aris installs in Claude Code, and its skills also install in Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI. Each skill's page has the install command. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.
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