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wanshuiyin/Auto-claude-code-research-in-sleep

Python Tracked since 2026-03-10 Updated 2026-07-16 View source ↗

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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.

About

💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone ARIS-Code CLI — enjoy any way you like!

🌱 ARIS is a methodology, not a platform. What matters is the research workflow — take it wherever you go.

🤖 AI agents: Read AGENTGUIDE.md instead — structured for LLM consumption, not human browsing.

🛡️ ARIS audits its own output → now Anti-Autoresearch audits everyone's. It catalogs 46 integrity hack-patterns across 8 families (A–H), plus 13 zero-verdict-weight AI-style impressions and 2 advisory signals — 61 signals total — and checks a submission for them end-to-end,…

Excerpted from github.com/wanshuiyin/Auto-claude-code-research-in-sleep

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Stars 13.5k 2026-07-16
Forks 1.2k 2026-07-16
Commits 1.0k 2026-07-16
Releases 38 2026-07-16
Watchers 18 2026-07-16
Open issues 45 2026-07-16
Open PRs 13 2026-07-16