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ARIS
Security scan passedResearch skills that take your agent from the literature to ideas, GPU experiments, a paper and a rebuttal, with a second model reviewing.
by wanshuiyin· ResearchUnclaimed · Yours? Claim it
Research skills that take your agent from the literature to ideas, GPU experiments, a paper and a rebuttal, with a second model reviewing.
by wanshuiyin· ResearchUnclaimed · Yours? Claim it
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About
ARIS (Auto-Research-In-Sleep) is an open-source research workflow by Yang Ruofeng, packaged as a Claude Code plugin. Its skills are plain Markdown and take an agent through the life of a machine-learning paper: reading the literature, finding and testing ideas, running experiments, writing the paper and replying to reviewers. Claude does the work and a second model reviews it, OpenAI's Codex by default, so the agent isn't grading its own work. What you can do with it - Survey a research direction, brainstorm ideas, check them for novelty and rank them with short pilot experiments (/aris:idea-discovery) - Turn an experiment plan into code, deploy it to your GPU and collect the results (/aris:experiment-bridge) - Leave a review loop running overnight: the reviewer scores the paper, Claude fixes what it flags and runs the experiments it asks for, and it repeats until the score clears a threshold or the rounds run out (/aris:auto-review-loop) - Go from a narrative report to a compiled LaTeX paper, with real BibTeX from DBLP and CrossRef instead of made-up citations (/aris:paper-writing) - Draft a rebuttal within a venue's character limit that won't invent results or promise anything you haven't approved (/aris:rebuttal) - Turn an accepted paper into slides, a poster or a talk, and keep a research wiki that remembers papers, ideas and failed experiments across sessions How to install it In Claude Code, run /plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep, then /plugin install aris@aris. Run /aris:setup once and restart Claude Code: it registers the Codex reviewer bridge that ships inside the plugin. Skills are typed with the aris: prefix, such as /aris:research-pipeline "your research direction". What it needs - OpenAI's Codex CLI, installed and signed in (npm install -g @openai/codex, then codex login), for the review skills, plus Python 3.9 or later for the bridge - A LaTeX setup with latexmk and pdfinfo for paper writing; idea discovery and the review loop don't need it - A GPU for experiments: your own machine, a server over SSH, or one rented from Vast.ai. Without one, the review and writing skills still work and experiments are flagged for you to run - Optional: a Gemini API key for AI illustrations (Mermaid diagrams need none), Exa or Firecrawl keys for extra web search, and Zotero, Obsidian or Feishu if you use them Good to know ARIS is a community project, not an official Anthropic or OpenAI tool. Its author says it speeds research up but doesn't replace your own judgement, so check its ideas and claims yourself. Other models, such as GLM, MiniMax, Kimi or DeepSeek, can stand in for the Codex reviewer.
Once it’s added
“Find research ideas on the factorized gap in discrete diffusion language models.”
“Read this paper and its repo, find what's missing and fix it.”
“Review my paper, fix what's wrong and repeat until it's good.”
“Turn NARRATIVE_REPORT.md into a polished paper PDF for ICLR.”
“Draft an ICML rebuttal to these reviews in under 5,000 characters.”
“Make Beamer slides and a poster from my accepted paper.”
Before you add it
Reads only
Papers from arXiv, the web, your local PDFs and your Zotero or Obsidian library · Your paper, code and experiment results
Makes changes · your agent can ask first
Writes experiment code and runs it on your GPU · Writes and compiles LaTeX papers, rebuttals, slides and posters · Keeps idea reports, review logs and a research wiki in your project
Each with its own page
From people who use it
Step by step
Nothing new reaches your agent until a person has looked at it.
No reviews yet. Used ARIS? Say how it went.
Write a reviewRuns on your machine.
Runs on your machine.
/plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep /plugin install aris@aris
Scanned and passed · checked 4 h ago
Plugins people install alongside ARIS.
Scanned on every change, and again when our rules improve.
Claude CodeSupported
OpenClawSupportedTell us and a person on the trust team will look at it. Or email [email protected].
Nobody has shared how they use ARIS yet.
Plugins people install alongside ARIS.
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Market research skills for product managers: personas, segments, journey maps, TAM/SAM/SOM, competitor analysis and feedback sentiment.
A community MCP server for Zotero: your agent searches, reads, annotates and adds papers to your research library, locally or on the web.
Security scan
Passed
Safe to install in every agent it supports. Claude plugins.