{"slug":"nvidia-tao-analyze-gaps-visual-changenet","source_name":"nvidia/tao-analyze-gaps-visual-changenet","name":"Nvidia/Tao Analyze Gaps Visual Changenet","description":"Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (`tao_toolkit.data_services` from `versions.yaml`) directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.","version":1,"lift":{"pass_rate_delta_pts":59.09,"pass_rate_pct":72.7,"total_cases":22,"passed_cases":16,"tokens_delta_pct":162.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T23:12:07.521443+00:00"},"skill_score":0.7273,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":59.09,"with_pass_pct":72.7,"without_pass_pct":13.6,"tokens_delta_pct":162.9,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":15,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-12T23:12:07.521443+00:00","run_id":"09e8ede8-d684-40da-a82e-4d02a9743c09","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":"1f95975d01d1e9701a1c31a0f1ce9a5fcf30812c1f1ff8c106c587819b9c54d0","raw_url":"https://app.decimal.ai/s/nvidia-tao-analyze-gaps-visual-changenet/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/nvidia-tao-analyze-gaps-visual-changenet"}