{"slug":"mkurman-pettingzoo","source_name":"mkurman/pettingzoo","name":"Mkurman/Pettingzoo","description":"Multi-agent reinforcement learning environment API (PettingZoo). Standard API for multi-agent RL extending Gymnasium with Agent Environment Cycle (AEC) and Parallel APIs. Includes Atari, Butterfly, Classic, MPE, and SISL environments. For single-agent RL, use Gymnasium. For algorithm implementations, use stable-baselines3 or CleanRL.","version":1,"lift":{"pass_rate_delta_pts":4.55,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":169.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-21T10:34:00.056946+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":4.55,"with_pass_pct":95.5,"without_pass_pct":90.9,"tokens_delta_pct":169.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-21T10:34:00.056946+00:00","run_id":"a9e3a5f2-6fdf-4c85-bfc4-17aed2e26c69","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":"823b333ca9991c5b95f7d9aae55664ae339166124802bb0394d62b0b8837a6b4","raw_url":"https://app.decimal.ai/s/mkurman-pettingzoo/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mkurman-pettingzoo"}