Auto-claude-code-research-in-sleep
Lightweight Markdown-only skills for autonomous ML research
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Auto-claude-code-research-in-sleep provides specialized Markdown-based utilities for automating and enhancing autonomous ML research by connecting various models in an open framework.
Good fit when
- When you are looking to streamline idea discovery, experiment automation, and cross-model review loops specifically within the context of Python programming for machine learning research
- For users interested in leveraging an open-agent model system that allows flexibility with different LLM agents like Claude Code or Codex, without framework lock-in
Avoid when
- If you require a solution that is tightly integrated with a specific AI development platform or requires the use of proprietary models
- When your research workflow demands real-time data analysis and visualization tools that Auto-claude-code-research-in-sleep does not directly support
- Pricing:
- freemium - Free to use under MIT license with no explicit pricing model indicated, though users might incur costs based on the AI models and services they choose to integrate.
- Requirements:
- Compatibility with diverse language model agents without requiring lock-in or specific frameworks; Utilizes Markdown for skills, aiming at a lightweight automation layer on top of ML research tasks
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Aug 23, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Auto-claude-code-research-in-sleepSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ARIS provides cross-model review loops, idea discovery, and experiment automation, compatible with various LLM agents.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Tags
README
1. Install skills — project local symlinks (recommended) git clone https://github.com/wanshuiyin/Auto claude code research in sleep.git bash Auto claude code research in sleep/tools/install aris.sh /your project symlinks ARIS skills into <project /.claude/skills/ (prefer a global...
For agents
This page has a .md twin and JSON over the API.