描述
Run Karpathy-style autonomous ML search on a real training repository. Use when the user needs to set up or operate `karpathy/autoresearch`, choose the right run mode (setup, `program.md`, bounded loop, result interpretation, or constrained-hardware adaptation), and preserve the immutable `prepare.py` / 300-second / `val_bpb` contract. Not for prompt evaluation, LLM app observability, or repo-local `SKILL.md` optimization — route those to LangSmith, Promptfoo, Braintrust, or `skill-autoresearch`. Triggers on: autoresearch, autonomous ML experiments, `program.md`, `train.py`, `val_bpb`, overnight GPU loop, fixed eval harness.