{"slug":"nvidia-tao-route-visual-changenet-samples","source_name":"nvidia/tao-route-visual-changenet-samples","name":"Nvidia/Tao Route Visual Changenet Samples","description":"Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module subsets based on each module's label eligibility. Use when the user asks to \"route VCN gap samples\", \"split AOI gaps for k-NN mining and AnomalyGen\", or prepare the immediate next step after DEFT gap analysis in a VCN AOI SDA iteration.","version":1,"lift":{"pass_rate_delta_pts":63.64,"pass_rate_pct":77.3,"total_cases":22,"passed_cases":17,"tokens_delta_pct":148,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T23:23:00.599987+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":63.64,"with_pass_pct":77.3,"without_pass_pct":13.6,"tokens_delta_pct":148,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":19,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-12T23:23:00.599987+00:00","run_id":"cf079cb0-3a0f-4a91-909e-130a5ba902e9","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":"Apache-2.0","install_count":0,"manifest_hash":"21f759ac2ddb74a9a7f6e1b2cdf15f793d9a07b3160bb2fd6dc5110d98f319c2","raw_url":"https://app.decimal.ai/s/nvidia-tao-route-visual-changenet-samples/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-tao-route-visual-changenet-samples"}