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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 automat

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+4.2k (33.3%)estimated from velocity
12.4k14.8k17.2kJul 2Sep 30

Overview

ARIS provides methodology and skills for autonomous machine learning research, enabling cross-model review loops, idea discovery, and experiment automation. It works with various LLM agents like Claude Code, Codex, OpenClaw, and others without framework lock-in.

Deep Analysis

Key Differentiator

Lightweight, framework-agnostic methodology that works with any LLM agent through skill-based workflows rather than creating lock-in.

⚡ Capabilities

  • • autonomous ML research
  • • cross-model review loops
  • • idea discovery
  • • experiment automation
  • • skill-based workflows

🔗 Integrations

Claude CodeCodex CLICursorTraeAntigravityGitHub Copilot CLIOpenClawDeepSeek HarnessModelScope

✓ Best For

  • ✓ researchers building autonomous ML agents
  • ✓ developers creating agent workflows
  • ✓ experiment automation with multiple LLMs

✗ Not Ideal For

  • ✗ end-user AI applications
  • ✗ generic chatbots
  • ✗ image generation

⚠ Known Limitations

  • ⚠ Markdown-only skills
  • ⚠ requires existing LLM agent infrastructure
  • ⚠ methodology rather than complete platform

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