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Open source

Auto-claude-code-research-in-sleep

Last updated 2026-06-13 · benchmark measured 2026-06-15 — deterministic & reproducible

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.

Overall production-readiness score — reserved
Legit.Show benchmarked Auto-claude-code-research-in-sleep across all seven frames. The single overall score is shown to the verified maker; the frame-by-frame breakdown is public below.

Is Auto-claude-code-research-in-sleep production-ready?

Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Auto-claude-code-research-in-sleep (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Standards; its weakest is Discoverability. The per-frame breakdown is public on the Legit.Show listing; the single overall production-readiness score is reserved for the verified maker.

The 7 Frames

What we measured

Visit Auto-claude-code-research-in-sleep → · How this was measured →