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.

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• Updated Nov 11, 2026
• Python

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.

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• Updated Nov 6, 2026
• Python

Run a Parallel Autonomous ML Research Organization on your OpenClaw instance.

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• Updated Jul 14, 2026
• HTML

A state machine protocol for running controlled ML experiments with coding agents.

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• Updated Oct 30, 2026
• Python

Research Agora: Claude Code skills, benchmarks & tools for ML researchers — paper writing, citation verification, experiment tracking, LaTeX automation

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• Updated Nov 9, 2026
• Python

Skills that make your AI agent do ML research like a skeptical scientist, not a hype machine.

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• Updated Nov 9, 2026
• Shell

Agent skill for doing good research: points the model to a short, curated set of high-signal research advice before it picks a problem, designs experiments or writes a paper. Written 6 Sep 2026, published 10 Nov 2026.

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• Updated Nov 10, 2026

🐍 Learn every core Python concept for Machine Learning & Deep Learning in 2–3 hours. Hands-on Jupyter notebook with ML examples, practice tasks & solutions.

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• Updated Oct 19, 2026
• Jupyter Notebook

Research-first machine learning experiment tracker for comparing model metrics, scalar curves, artifacts, and experiment lineage.

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• Updated Oct 2, 2026
• Python

Quantum-inspired Echo State Network for multi-agent behavior analysis (MABe challenge)

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• Updated Nov 11, 2026
• Jupyter Notebook

Code for the paper "2Mamba2Furious: Linear in complexity, competitive in accuracy"

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• Updated Sep 12, 2026
• Jupyter Notebook

Autonomous ML research agent skill (Agent Skills format). Designs experiments, deploys to Modal GPUs, tracks budget, iterates autonomously.

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• Updated Mar 15, 2026
• Python

mBFT: Metacognitive Byzantine Fault Tolerance — reference implementation for Consensus-Driven Metacognition in Multi-Agent Systems

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• Updated Jun 6, 2026
• Python

Hypothesis-first experiment tracking for agent-driven ML research, wired into Claude Code.

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• Updated Oct 20, 2026
• Python

A custom OpenSpec schema for spec-driven machine learning research.

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• Updated Oct 13, 2026

Compare saved classifier predictions, check release requirements and inspect changed cases in local HTML reports.

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• Updated Nov 2, 2026
• Python

Model Evolution keeps the reasoning behind a machine-learning model connected to the exact data, code, runs, and artifacts that produced it.

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• Updated Oct 27, 2026
• Python

Automate code reviews for general code projects with modular parallel checks, config-driven scope, and clear reports.

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• Updated Oct 14, 2026
• Python

Rabbit Brain is an open-source CLI + MCP for Claude Code and Codex. It keeps one stable catalogue showing where your research stands: what questions you're asking, what you've tried, what the results actually show, and what's still unresolved.

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• Updated Nov 11, 2026
• Rust

Auto-updated AI Research Scientist and Research Engineer jobs, refreshed every 2 days. Top companies first. Free. By landed.

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• Updated Nov 11, 2026