SKILL

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. ECC implements no training stack of its own.

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Topics in the source

  • Itô Training
  • Current production boundary
  • Required entitlement
  • Future CLI and API contract
  • Confirmation and execution gates
  • Lifecycle and recovery
  • Proposed backend stages

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. 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. 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 authenticated account, booking, GPU topology, region, fabric, and term. Expired, revoked, mismatched, incomplete, or already-released bookings fail clos

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Source repository
affaan-m/ECC
Source file
skills/ito-training/SKILL.md
Fixed revision
d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
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Author: affaan-m/ECC · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:43.935Z.

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