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Auto-claude-code-research-in-sleep

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

Lightweight Markdown-only skills for autonomous ML research

GraphCanon updated today · GitHub synced today · 26 views this month

15k stars1.3k forksLast push 2d Python MIT

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 today
Provenance
Not a fork · Personal account
As of today
Security (OSV)
No lockfile
As of 3d

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Auto-claude-code-research-in-sleep
PyPI

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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 · Aug 26, 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 /.claude/skills/


(prefer a global install instead? cp -r Auto-claude-code-research-in-sleep/skills/* ~/.claude/skills/)


(don't need all 82? --list-groups / --groups X,Y / --skills X — see "Selective install" below)


Optional Codex mirror managed project install

bash tools/install_aris_codex.sh ~/your-codex-project


10.2 Install Skills

💡 Recommended: project-local flat symlink install (since 2026-04-20). Each ARIS skill is symlinked individually into .claude/skills/<skill-name>, so Claude Code's slash-command discovery picks them up. A manifest at .aris/installed-skills.txt tracks what ARIS installed — uninstall and reconcile only ever touch managed entries, never your own skills.

🤖 Codex mirror route: keep Claude on install_aris.sh / smart_update.sh. For Codex-native project installs, use install_aris_codex.sh; for copied Codex installs, use smart_update_codex.sh.


---

# Install only what you need (#366 selective install; a bare TTY run opens a checkbox picker):
bash ~/aris_repo/tools/install_aris.sh --list-groups                  # show the 10-group catalog
bash ~/aris_repo/tools/install_aris.sh --groups paper-core,lit-search # install by group
bash ~/aris_repo/tools/install_aris.sh --skills paper-writing         # by skill; hard pipeline deps auto-included
bash ~/aris_repo/tools/install_aris.sh --exclude patent-pipeline      # opt out (declined; never re-asked on update)

---

# Symlink-style legacy install:
bash ~/aris_repo/tools/install_aris.sh ~/your-project --from-old

---

# Copy-style legacy install (with possible local edits — chose strategy explicitly):
bash ~/aris_repo/tools/install_aris.sh ~/your-project --from-old --migrate-copy keep-user

---

#   → keeps your nested .claude/skills/aris/ copy intact alongside the new flat install
bash ~/aris_repo/tools/install_aris.sh ~/your-project --from-old --migrate-copy prefer-upstream

For agents

This page has a .md twin and JSON over the API.

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