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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.
Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.
Research Agora: Claude Code skills, benchmarks & tools for ML researchers — paper writing, citation verification, experiment tracking, LaTeX automation
🐍 Learn every core Python concept for Machine Learning & Deep Learning in 2–3 hours. Hands-on Jupyter notebook with ML examples, practice tasks & solutions.
Discord-native research operations toolkit for ML experimentation with Codex/Claude agents: relay orchestration, human-in-the-loop plan/task/worktree workflows, callback-driven long-running jobs, and hypothesis-driven research skills.