{"slug":"aperivue-model-card","source_name":"aperivue/model-card","name":"Aperivue/Model Card","description":"Generate the documentation an engineer-built medical-imaging model must carry — a Model Card (Mitchell et al. 2019), a Datasheet for its dataset (Gebru et al. 2021), and a METRIC-informed data-quality pass — filled from user-supplied facts, then verify every required section is present and non-empty before the card ships to a repo, Hugging Face card, or manuscript supplement. Never fabricates numbers, provenance, consent, or licence; unfilled fields stay flagged. Ships a deterministic completene","version":1,"lift":{"pass_rate_delta_pts":45.45,"pass_rate_pct":77.3,"total_cases":22,"passed_cases":17,"tokens_delta_pct":11.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-24T22:22:38.492700+00:00"},"skill_score":0.7727,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":45.45,"with_pass_pct":77.3,"without_pass_pct":31.8,"tokens_delta_pct":11.7,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":19,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-24T22:22:38.492700+00:00","run_id":"7426f646-acf0-41ee-866a-6d8ab9919019","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":"MIT","install_count":0,"manifest_hash":"33e51b50605dce2d052713cdd0483fb6632ac61cbeea4d448e2ffe9ff89ec749","raw_url":"https://app.decimal.ai/s/aperivue-model-card/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/aperivue-model-card"}