Auto-claude-code-research-in-sleep (ARIS Framework)
Autonomous overnight machine learning research and adversarial multi-model auto-review loops for Claude Code, Codex, and Antigravity.
Capabilities & Architecture
- Idea Discovery & Experiment Bridge:
- Converts high-level research questions into verifiable numerical hypotheses and PyTorch experiment runs.
- Cross-Model Adversarial Auto-Review Loops:
- Multi-agent peer review pitting Claude, Gemini, and GPT against each other to ruthlessly identify experimental gaps, baseline flaws, and overclaimed conclusions.
- Manuscript & Rebuttal Generation:
- Full publication drafting, LaTeX packaging, reviewer point-by-point rebuttal drafting.
The canonical implementation and sub-modules are located in skills/auto-research-in-sleep/.