{"slug":"nvidia-physical-ai-defect-image-generation","source_name":"nvidia/physical-ai-defect-image-generation","name":"Nvidia/Physical AI Defect Image Generation","description":"Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment.\nTrigger keywords: defect imag","version":1,"lift":{"pass_rate_delta_pts":63.64,"pass_rate_pct":81.8,"total_cases":22,"passed_cases":18,"tokens_delta_pct":166,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T22:47:38.007531+00:00"},"skill_score":0.8182,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":63.64,"with_pass_pct":81.8,"without_pass_pct":18.2,"tokens_delta_pct":166,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":18,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-12T22:47:38.007531+00:00","run_id":"4eb4420c-8a9d-4cac-bedb-f5b26f563222","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"CC-BY-4.0 AND Apache-2.0","install_count":0,"manifest_hash":"98e89a1d4471b7df14cb0b3aab78cce0026dbfcb145a53d6d8166c2e4fda8caa","raw_url":"https://app.decimal.ai/s/nvidia-physical-ai-defect-image-generation/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-physical-ai-defect-image-generation"}