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

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. observed · 2026-08-28

github.com/wanshuiyin/Auto-claude-code-research-in-sleep · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 98
  • Longevity 12

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 176
  • days_rel: 12
  • days_push: 7
  • n_releases_24m: 41

Full methodology

Adoption not part of the score

15293 stars · 1340 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ARIS is a collection of lightweight Markdown-only skills that turn LLM coding agents (Claude Code, Codex, Cursor, etc.) into autonomous ML research assistants. It provides cross-model review loops, research idea discovery, and experiment automation without any framework lock-in.

Use cases

  • run autonomous ML research experiments overnight with an LLM agent
  • set up cross-model paper review loops between Claude and Codex
  • generate and triage research ideas with an AI agent
  • automate ML experiment workflows inside Claude Code
  • write and review research papers using agent skills
  • use the same research methodology across different LLM coding tools

When to choose

  • you already use Claude Code, Codex CLI, Cursor, or similar LLM agents and want research automation
  • you want a framework-free, Markdown-only workflow you can adapt to any agent
  • you need structured review loops and experiment automation for ML research

When to avoid

  • you need a turnkey GUI or hosted research platform rather than agent skills
  • your work is not ML/AI research oriented
  • you are not comfortable driving experiments through a terminal-based LLM agent

Facets

plugin · maturity active

agent-framework prompt-engineering workflow-automation developer-tools artificial-intelligence machine-learning developer-tools cli cross-platform python claude-code-skills autonomous-research llm-agent-workflow paper-review idea-generation experiment-automation markdown-skills model-agnostic ai-agents research-automation

1 source

Member repositories

RepositoryRoleHealth v2
wanshuiyin/Auto-claude-code-research-in-sleepmain81

For agents

markdown · JSON · MCP: product_card(name="wanshuiyin/Auto-claude-code-research-in-sleep")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem