📦 deps(thirdparty): update snapshots

antigravity-awesome-skills/skills/hugging-face-vision-trainer/SKILL.md

@@ -1,8 +1,13 @@
 ---
-source: "https://github.com/huggingface/skills/tree/main/skills/huggingface-vision-trainer"
 name: hugging-face-vision-trainer
-description: Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.
+description: Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs...
 risk: unknown
+source: https://github.com/huggingface/skills/tree/main/skills/huggingface-vision-trainer
+source_repo: huggingface/skills
+source_type: official
+date_added: 2026-07-01
+license: Apache-2.0
+license_source: https://github.com/huggingface/skills/blob/main/LICENSE
 ---
 
 # Vision Model Training on Hugging Face Jobs
@@ -595,6 +600,7 @@ For comprehensive troubleshooting: see [references/reliability_principles.md](re
 - [Image Classification Datasets](https://huggingface.co/datasets?task_categories=task_categories:image-classification)
 
 ## Limitations
-- Use this skill only when the task clearly matches the scope described above.
-- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
-- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
+
+- Use this skill only when the task clearly matches its upstream product or API scope.
+- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
+- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.