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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.

This agent is preserved in the Radar archive and is not in the current homepage selection.

90/100Transparent Radar Score
★ 15,760GitHub stars
9/3/2026Last code update
ai-researchai-toolsarisautonomous-agentclaudeclaude-codeclaude-code-skillscodexdeep-learninggptidea-generationllmmachine-learningmcpmcp-serverml-researchopenaipaper-reviewpaper-writingresearch-automation

What does wanshuiyin/Auto-claude-code-research-in-sleep do?

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.

Adoption40/25
Maintenance25/20
Project quality0/20
Agent relevance25/20
Demand evidence0/10
Momentum0/5

Adoption uses stars and forks; maintenance uses code activity; quality checks license and metadata; demand uses high-engagement open Issues; momentum uses star growth.

EDITOR'S RADAR TAKE

Editorial take

wanshuiyin/Auto-claude-code-research-in-sleep stands out in developer tooling because its launch connects a focused product promise with measurable community attention. It is most useful to evaluate as a workflow tool—not as a replacement for human judgment.

WHO IT IS FOR

Best suited for

Developers, engineering teams and technical founders.

Main capabilities

  • 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.

Practical use cases

wanshuiyin/Auto-claude-code-research-in-sleep may be useful for speeding up software delivery, testing, debugging or infrastructure workflows. The strongest fit depends on how well it integrates with a team’s existing tools, data and review process.

Open demand signals

No high-engagement open demand signal matched this project in the current scan. This does not mean demand is absent.

Potential advantages

  • Focused on developer tooling.
  • Shows ★ 15,760 GitHub stars and 1,372 forks.
  • Provides public source code and project history that can be independently verified.

Limits to consider

  • The listing is based on public launch information rather than a hands-on product review.
  • Features, pricing and availability may change; verify important details with the provider.
  • Compare it with 3 related Radar listings before choosing a workflow.

Similar agents to compare

OPEN-SOURCE SIGNAL

What the evidence suggests

wanshuiyin/Auto-claude-code-research-in-sleep ranks #39 among 134 tracked projects using public GitHub adoption, maintenance, quality, relevance, demand and momentum signals.

Automatically generated from public repository and Issue metadata. It is not a paid placement, endorsement, security audit or hands-on review.