{"slug":"k-dense-ai-pathway-enrichment","source_name":"k-dense-ai/pathway-enrichment","name":"K Dense AI/Pathway Enrichment","description":"Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results. Use whenever the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched. Covers over-representation analysis (ORA / Enrichr / Fisher / hypergeometric), ranked Gene Set Enrichment Analysis (GSEA / preranked), s","version":1,"lift":{"pass_rate_delta_pts":30.43,"pass_rate_pct":95.7,"total_cases":23,"passed_cases":22,"tokens_delta_pct":126.9,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-10T01:39:33.015098+00:00"},"skill_score":0.9565,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":30.43,"with_pass_pct":95.7,"without_pass_pct":65.2,"tokens_delta_pct":126.9,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-10T01:39:33.015098+00:00","run_id":"eef1e246-cbcf-4798-b4a1-b3a73a463956","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":"2f9c0b8e2d707572b542d0292590f1c0a3cc1ae3e7a3e0d46256cd905219c15e","raw_url":"https://app.decimal.ai/s/k-dense-ai-pathway-enrichment/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/k-dense-ai-pathway-enrichment"}