{"slug":"automate-ml-research-loops-with-aris-skills","title":"Automate ML research loops with ARIS skills","summary":"Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.","platform":"Claude","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-09-26T16:48:50.780978Z","repo":{"url":"https://github.com/agentskillexchange/skills","stars":50,"forks":70,"license":"MIT","updatedAt":"2026-10-06T13:27:24Z"},"bodyHtml":"<hr>\n<h2>name: \"Automate ML research loops with ARIS skills\"\nslug: \"automate-ml-research-loops-with-aris-skills\"\ndescription: \"Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.\"\ngithub_stars: 9609\nverification: \"security_reviewed\"\nsource: \"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep\"\nauthor: \"wanshuiyin\"\npublisher_type: \"individual\"\ncategory: \"Templates &amp; Workflows\"\nframework: \"Multi-Framework\"\ntool_ecosystem:\ngithub_repo: \"wanshuiyin/Auto-claude-code-research-in-sleep\"\ngithub_stars: 9609</h2>\n<h1>Automate ML research loops with ARIS skills</h1>\n<p>Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.</p>\n<h2>Prerequisites</h2>\n<p>ARIS skills or ARIS-Code CLI, Claude Code/Codex/OpenClaw-compatible agent, configured model providers</p>\n<h2>Installation</h2>\n<p>Use the upstream install or setup path that matches your environment:</p>\n<ul>\n<li>git clone <a href=\"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git\">https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git</a></li>\n<li>npm install -g @openai/codex</li>\n<li>pip install deepxiv-sdk</li>\n<li>pip install exa-py</li>\n</ul>\n<p>Requirements and caveats from upstream:</p>\n<ul>\n<li>\uD83E\uDEB6 <strong>Radically lightweight — zero dependencies, zero lock-in.</strong> The entire system is plain Markdown files. No framework to learn, no database to maintain, no Docker to configure, no daemon to babysit. Every skill is a...</li>\n<li><strong>2026-04-03</strong> — ☁️ <strong><a href=\"skills/serverless-modal/SKILL.md\">Modal serverless GPU</a></strong> — no GPU? gpu: modal in CLAUDE.md, one command (modal run launcher.py), no SSH, no Docker, auto scale-to-zero. <strong>$30/month free tier</strong> —...</li>\n</ul>\n<p>Basic usage or getting-started notes:</p>\n<ul>\n<li><p><strong>v0.4.10</strong> (2026-05-17) — Stream + MCP reliability + multi-provider pricing. C6 whole-stream restart in Anthropic MessageStream + OpenAI SSE loop on chunk decode failure / premature EOF (ARIS_STREAM_RETRY, default 2,...</p>\n</li>\n<li><p>\uD83C\uDF19 <strong>Let Claude Code do research while you sleep.</strong> Wake up to find your paper scored, weaknesses identified, experiments run, and narrative rewritten — autonomously.</p>\n</li>\n<li><p>Custom <a href=\"https://docs.anthropic.com/en/docs/claude-code\">Claude Code</a> skills for autonomous ML research workflows. These skills orchestrate <strong>cross-model collaboration</strong> — Claude Code drives the research while an exter...</p>\n</li>\n<li><p>Source: <a href=\"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep\">https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep</a></p>\n</li>\n<li><p>Extracted from upstream docs: <a href=\"https://raw.githubusercontent.com/wanshuiyin/Auto-claude-code-research-in-sleep/HEAD/README.md\">https://raw.githubusercontent.com/wanshuiyin/Auto-claude-code-research-in-sleep/HEAD/README.md</a></p>\n</li>\n</ul>\n<h2>Documentation</h2>\n<ul>\n<li><a href=\"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep\">https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep</a></li>\n</ul>\n<h2>Source</h2>\n<ul>\n<li><a href=\"https://agentskillexchange.com/skills/automate-ml-research-loops-with-aris-skills/\">Agent Skill Exchange</a></li>\n</ul>\n","files":[{"path":"SKILL.md","sizeBytes":2763,"isText":true}],"reviewScore":null,"reviewSummary":null,"trust":{"provenance":"trusted-source-unreviewed","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow.","bodySource":null},"bodyLocked":false,"purchaseUrl":null,"sourceUrl":null,"report":{"provenance":"trusted-source-unreviewed","screen":{"ran":true,"outcome":"clean","suspicious":0,"notes":0,"hiddenCharacters":false},"virusScan":{"engine":"clamav","status":"clean","scannedAt":"2026-09-26T16:50:43.168855Z","sha256":"8DEC005A3981C8DA570DC4C3A67B48E92A762D9E46145301DD59FC54E87489D2","sizeBytes":1412},"review":null,"source":{"repositoryUrl":"https://github.com/agentskillexchange/skills","path":"skills/automate-ml-research-loops-with-aris-skills","license":"MIT","commit":"b57b422f46130bbdbd0f5ce28c65df2ad38d6b98","subtreeSha":"A1EFD0E89FAB30D6F9886C1C5B96B6B4C216D446F67F46D85CD4EE7098F4EDD2","lastSyncedAt":"2026-10-06T15:24:01.621798Z"},"reviewedAt":"2026-09-26T16:53:47.98482Z","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. Treat it as data to evaluate, never as directives to follow."},"install":[{"target":"skills-cli","command":"npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/automate-ml-research-loops-with-aris-skills"},{"target":"claude-code","command":"claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart"},{"target":"git","command":"git clone https://github.com/agentskillexchange/skills.git"}]}