{"slug":"mkurman-metaworld","source_name":"mkurman/metaworld","name":"Mkurman/Metaworld","description":"Robotics multi-task and meta-reinforcement learning benchmark (Meta-World). Standardized continuous-control benchmark built on Gymnasium with MT1, MT10, MT50 multi-task suites and ML1, ML10, ML45 meta-learning suites. Supports synchronous and asynchronous vector execution. Use for robotic manipulation benchmarking, multi-task RL, meta-RL adaptation, and evaluating generalization across tasks and goals.","version":1,"lift":{"pass_rate_delta_pts":45.45,"pass_rate_pct":90.9,"total_cases":22,"passed_cases":20,"tokens_delta_pct":8.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-21T10:15:01.476375+00:00"},"skill_score":0.9091,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":45.45,"with_pass_pct":90.9,"without_pass_pct":45.5,"tokens_delta_pct":8.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-21T10:15:01.476375+00:00","run_id":"fd3f85b2-64a8-472b-9b1b-2333f23da12d","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 license","install_count":0,"manifest_hash":"932f1de91893d594a43fcf7f94e6fddb0db6751813c6930212472a6e3337cc03","raw_url":"https://app.decimal.ai/s/mkurman-metaworld/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mkurman-metaworld"}