{"slug":"mkurman-scvelo","source_name":"mkurman/scvelo","name":"Mkurman/Scvelo","description":"RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.","version":1,"lift":{"pass_rate_delta_pts":18.18,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":21.8,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-21T17:32:19.733424+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":18.18,"with_pass_pct":100,"without_pass_pct":81.8,"tokens_delta_pct":21.8,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-21T17:32:19.733424+00:00","run_id":"8fe67cad-e0ab-4d75-8731-2f59177ecf22","latest_attempt":{"id":"8fe67cad-e0ab-4d75-8731-2f59177ecf22","runner_model":"gemini-3.6-flash","overall_verdict":"pass","completed_at":"2026-08-21T17:32:19.733424+00:00","gate":null},"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":"BSD-3-Clause","install_count":0,"total_uses":10,"total_users":1,"manifest_hash":"8cf1d944a527aa597698ac8e6b80542f2c4513267b9f5df04fd79b8bfd02f7fe","install_name":"mkurman-scvelo","version_id":"352db4a7-40e8-4eeb-9b14-0d4bf1f1257a","body_sha256":"8cf1d944a527aa597698ac8e6b80542f2c4513267b9f5df04fd79b8bfd02f7fe","render_hash":"eed8be419144175e125167f7ce1693cc836c00bd776bfa7687b14fa12976a4ff","raw_url":"https://app.decimal.ai/s/mkurman-scvelo/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mkurman-scvelo"}