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.
# Add to your Claude Code skills
git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleepGuides for using ai agents skills like Auto-claude-code-research-in-sleep.
Last scanned: 4/18/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-18T05:43:40.797Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}See how Auto-claude-code-research-in-sleep compares with popular alternatives.
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 18,025 GitHub stars.
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.
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).
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.
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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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Auto-claude-code-research-in-sleep vs ecc
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· 💬 Join Community ·
🌱 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: ·
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❗ codex-cli 0.154.0 removed
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.
— EasyAIOffer: 34 bilingual ML / LLM interview cheat sheets on one page — derivations, from-scratch PyTorch, 25 questions each. 希望大家秋招轻松一点 🌱
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— two sides of one disease. HERO: a ~550-token block for
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.
— ARIS goes multimodal: a rough story in, a movie told in still frames out, every scene checked by another model; the same loop draws clean method diagrams (
/method-figure).
— a tiny always-on-top macOS widget that lights up 🔴 when a session waits for your approval;
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 · — v0.4.28:
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 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.