{"slug":"xuzhougeng-esmfold2","source_name":"xuzhougeng/esmfold2","name":"Xuzhougeng/Esmfold2","description":"Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release: masked-LM logits, hidden states, mutation scoring, contact prediction, and the SAE interpretability head. MIT-licensed weights on HuggingFace org `biohub`. Use this skill when: (1) P","version":1,"lift":{"pass_rate_delta_pts":59.09,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":82.4,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-14T23:59:04.680611+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":59.09,"with_pass_pct":100,"without_pass_pct":40.9,"tokens_delta_pct":82.4,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-14T23:59:04.680611+00:00","run_id":"93a24199-6bb0-4864-a36f-0b9bfb973c29","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":"777efbade63bd3893bf1b72c4cb2dd48a2b07d040146dc94674352317569f5e7","raw_url":"https://app.decimal.ai/s/xuzhougeng-esmfold2/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/xuzhougeng-esmfold2"}