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tao-run-dinov3-ssl-deft

Run iterative DINOv3 SSL DEFT data selection and retraining from an unlabeled pool, using GRIT or multi-task weakness and fixed-encoder retrieval. Use for active-learning-style DINOv3 mining, not plain pretraining/fine-tuning (tao-train-dinov3) or AOI/PAS DEFT.

skills/tao-run-dinov3-ssl-deft/SKILL.md

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# DINOv3 SSL DEFT

The DS-packaged Python controller owns the loop and durable state. This skill
prepares and approves its inputs; it does not implement orchestration.

## Instructions

1. Resolve the DINOv3 model using the model resolver. Choose `grit-score`
   for unlabeled target ranking; its scorer is built in. Offer
   `multi-task-round-robin` only when the user already has a score adapter
   that meets the [task scoring contract](references/adapter-contracts.md#task-scoring):
   DS ships no multi-task scorer, and `validate` rejects the recipe's
   placeholder. Read [architecture.md](references/architecture.md) for the