ito-training
Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest. Use after ito-compute has booked GPU nodes and the user wants pre-training, fine-tuning, or RL on that metal.
- Kind
- Skill
- Works with
- Claude Code, Codex
- Source
- affaan-m/ECC @ d3b8a3e90890
- Path
- skills/ito-training/SKILL.md
- License
- MIT
- Jobs
- Implementation
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# Itô Training `ito-training` is the canonical ECC skill for training on Itô compute. ECC never runs a trainer, scheduler, or data pipeline of its own; it never books, reserves, or spends. This skill chains off a **completed booking** from `ito-compute`. ## Current production boundary Managed training is unavailable today. The ECC bridge exposes only `login`, `logout`, `auth`, `find`, `status`, and explicitly gated `evals`. It has no `train` verb, and the canonical CLI's `run` verb and desk `training-run` backend remain scaffolds. The locally enforceable guarantee is that ECC rejects `train` before resolving or spawning the credential-bearing canonical client. Therefore stop before authentication or any command invocation. Report the missing capability and return to the originating agent. Never substitute a local trainer, SSH helper, browser workflow, or purchase endpoint. ## Required entitlement When training is implemented, its first gate is a server-verified completed booking. Harness memory, an RFQ, a quote, node IPs, or SSH access are not proof of entitlement. The backend must return fresh training eligibility bound to the …