wanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP
Coordinates multi-model research loops where Claude Code executes experiments while GPT-4 (via Codex MCP) provides adversarial review—avoiding single-model blind spots through complementary execution speed and critique rigor. Skills are stored as plain Markdown files with zero dependencies, enabling seamless swapping between Claude Code, Codex CLI, Cursor, Trae, and Antigravity without workflow changes. Supports autonomous paper improvement (parsing weaknesses from reference papers + codebases), rebuttal generation with fabrication safeguards, and presentation synthesis (slides/posters) across ICML, NeurIPS, ICLR, CVPR, IEEE venues and more.
338 stars.
Stars
338
Forks
33
Language
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License
MIT
Category
Last pushed
Mar 13, 2026
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