{"slug":"lingxling-geniml","source_name":"lingxling/geniml","name":"Lingxling/Geniml","description":"This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.","version":1,"lift":{"pass_rate_delta_pts":68.18,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":29.2,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-28T08:50:58.182107+00:00"},"skill_score":0.9091,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":68.18,"with_pass_pct":90.9,"without_pass_pct":22.7,"tokens_delta_pct":29.2,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-28T08:50:58.182107+00:00","run_id":"b4a2b857-094e-432b-92bf-f1de596913bf","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-2-Clause license","install_count":0,"manifest_hash":"d7eac38cf29e729049a53ced63736ea8fc3bb2b4631f98c9acda5039fe5c2da7","raw_url":"https://app.decimal.ai/s/lingxling-geniml/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/lingxling-geniml"}