{"schema_version":"1","interpretation":"data_only","hub_commit":"1078c343e43fd04e53dfce1debf75bdab4b377aa","counts":{"memories":3,"recipes":194,"references":1897},"backend":"d1_fts5","coverage":{"complete":true},"search_semantics":"all_terms_word_prefix","results":[{"adapter_license":{"paths":["recipes/dmcontrol-ball-in-cup-catch/run.py","recipes/dmcontrol-ball-in-cup-catch/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["ball_in_cup","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","ball-in-cup","catch","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"ball_in_cup","runtime":"dm-control","runtime_version":"1.0.34","status":"source_reviewed"}],"evidence_level":"import_verified","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-ball-in-cup-catch","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control ball in cup catch feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"98adf0240f6432bd4b9814f08f0ad7290e53a7cdfbc31886154059bd0167fb4f","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-ball-in-cup-catch/skill.json","record_version":"1.0.0","robots":["ball_in_cup"],"runtime":"dm-control","runtime_verification":"import_verified","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control ball in cup catch feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-ball-in-cup-catch?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-cartpole-balance/run.py","recipes/dmcontrol-cartpole-balance/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["cartpole","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","cartpole","balance","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"cartpole","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-cartpole-balance","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control cartpole balance feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"d995ae45436889d0a1ca98af15dac4ffcc418b419773570eb72f7bd3ea53e267","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-cartpole-balance/skill.json","record_version":"1.0.0","robots":["cartpole"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control cartpole balance feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-cartpole-balance?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-cartpole-balance-sparse/run.py","recipes/dmcontrol-cartpole-balance-sparse/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["cartpole","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","cartpole","balance-sparse","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"cartpole","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-cartpole-balance-sparse","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control cartpole balance sparse feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"62d6343902041b755f604bdb5ef58973c9a55218b05046edd50256ae859b2485","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-cartpole-balance-sparse/skill.json","record_version":"1.0.0","robots":["cartpole"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control cartpole balance sparse feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-cartpole-balance-sparse?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-finger-spin/run.py","recipes/dmcontrol-finger-spin/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["finger","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","finger","spin","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"finger","runtime":"dm-control","runtime_version":"1.0.34","status":"source_reviewed"}],"evidence_level":"import_verified","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-finger-spin","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control finger spin feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"de3b91e25edff5db9944fb86bb1031b6d09c55e13e604e5b528ade57bf462a4c","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-finger-spin/skill.json","record_version":"1.0.0","robots":["finger"],"runtime":"dm-control","runtime_verification":"import_verified","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control finger spin feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-finger-spin?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-pendulum-swingup/run.py","recipes/dmcontrol-pendulum-swingup/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["pendulum","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","pendulum","swingup","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"pendulum","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-pendulum-swingup","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control pendulum swingup feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"30b71e54a05b8a490d686e609dad6fa542bb679ba4dfa3b46ec326a355c16def","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-pendulum-swingup/skill.json","record_version":"1.0.0","robots":["pendulum"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control pendulum swingup feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-pendulum-swingup?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-point-mass-easy/run.py","recipes/dmcontrol-point-mass-easy/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["point_mass","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","point-mass","easy","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"point_mass","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-point-mass-easy","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control point mass easy feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"f290afb4caaf7df0b721253d83e478d7f1a73f1f4cdc0eece8a6b21a5c3117ee","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-point-mass-easy/skill.json","record_version":"1.0.0","robots":["point_mass"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control point mass easy feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-point-mass-easy?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-point-mass-hard/run.py","recipes/dmcontrol-point-mass-hard/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["point_mass","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","point-mass","hard","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"point_mass","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-point-mass-hard","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control point mass hard feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"a8dbcdbf26018ea9890618f9cd64ff3fcfec11a84c8c10c788948971969ed933","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-point-mass-hard/skill.json","record_version":"1.0.0","robots":["point_mass"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control point mass hard feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-point-mass-hard?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-reacher-easy/run.py","recipes/dmcontrol-reacher-easy/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["reacher","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","reacher","easy","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"reacher","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-reacher-easy","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control reacher easy feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"ce14b11b084b3e81a4a14a67db2291fdd7c93ae5207ac5e3556b12d254a14bd0","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-reacher-easy/skill.json","record_version":"1.0.0","robots":["reacher"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control reacher easy feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-reacher-easy?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/dmcontrol-reacher-hard/run.py","recipes/dmcontrol-reacher-hard/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["reacher","dmcontrol","feedback_control"],"capabilities":["task","feedback-control","reacher","hard","simulation"],"compatibility":[{"architecture":"x86_64","controller":"privileged_state_bounded_feedback","observation":"simulator_state_and_native_reward","os":"linux","python":"3.10","robot":"reacher","runtime":"dm-control","runtime_version":"1.0.34","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":2,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"task","language":"python","output_selector":"outputs","version":"1"},"framework":"dm-control","hub_prepare":true,"id":"dmcontrol-reacher-hard","kind":"preparation_recipe","license":{"scope":"Pinned upstream Apache-2.0 source; preserve notices and model/asset terms. Hub feedback adapter is MIT.","spdx":"Apache-2.0","url":"https://github.com/google-deepmind/dm_control/blob/3831fa523c160fe653d83a829d0a0c59715f5725/LICENSE","verified":true},"name":"DM Control reacher hard feedback policy","python_requirement":">=3.10,<3.11","record_sha256":"0c6dac8f96736d0f8eac5a7c382b06caaf817d8948d162f12fc8b749b4d3e129","record_url":"https://hub.superfastrobotics.com/skills/dmcontrol-reacher-hard/skill.json","record_version":"1.0.0","robots":["reacher"],"runtime":"dm-control","runtime_verification":"task_complete","source_commit":"3831fa523c160fe653d83a829d0a0c59715f5725","source_sha256":"26a454bca7290df5df3376e36b31bb7ef56364fc3a45fc074f83cb3d30e50b5a","source_url":"https://github.com/google-deepmind/dm_control/tree/3831fa523c160fe653d83a829d0a0c59715f5725","summary":"DM Control reacher hard feedback policy. Bounded native-control simulation with privileged state; not a trained policy or hardware deployment.","inspect_url":"https://api.superfastrobotics.com/v1/skills/dmcontrol-reacher-hard?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"},{"adapter_license":{"paths":["recipes/genesis-panda-cartesian-ik/run.py","recipes/genesis-panda-cartesian-ik/requirements.txt"],"scope":"Hub-authored adapter only; upstream terms remain applicable","spdx":"MIT","verified":true},"aliases":["panda","genesis","cartesian_ik"],"capabilities":["simulation","bounded-json","genesis","cartesian_ik"],"compatibility":[{"architecture":"x86_64","controller":"cartesian_ik","observation":"privileged_simulator_state","os":"linux","python":"3.11","robot":"panda","runtime":"genesis","runtime_version":"1.4.4","status":"hub_verified"}],"evidence_level":"task_complete","execution_interface":{"abstraction_level":1,"execution_domain":"simulation","input_transport":"json_file_or_inline","kind":"controller","language":"python","output_selector":"outputs","version":"1"},"framework":"genesis","hub_prepare":true,"id":"genesis-panda-cartesian-ik","kind":"preparation_recipe","license":{"scope":"Pinned first-party code terms. Preserve all upstream notices; robot assets and dependencies retain their separate licenses. Hub-authored wrapper is MIT.","spdx":"Apache-2.0","url":"https://github.com/Genesis-Embodied-AI/genesis-world/blob/a5c4e9a73aca221fa26e611281f2696c5f8b0ca8/LICENSE","verified":true},"name":"Genesis Panda cartesian ik","python_requirement":">=3.11,<3.12","record_sha256":"216311d4a7c9ac8050338f40cb0826041203d33b521b441bbae75c490c337b1f","record_url":"https://hub.superfastrobotics.com/skills/genesis-panda-cartesian-ik/skill.json","record_version":"1.0.0","robots":["panda"],"runtime":"genesis","runtime_verification":"task_complete","source_commit":"a5c4e9a73aca221fa26e611281f2696c5f8b0ca8","source_sha256":"851d0970b921ee1b5182f62c544f432600153efccc127db059d5f5e46d9ac719","source_url":"https://github.com/Genesis-Embodied-AI/genesis-world/tree/a5c4e9a73aca221fa26e611281f2696c5f8b0ca8","summary":"Genesis Panda cartesian ik. Bounded, source-pinned simulation with an explicit task contract and retained fixed-case outcomes.","inspect_url":"https://api.superfastrobotics.com/v1/skills/genesis-panda-cartesian-ik?record_version=1.0.0&hub_commit=1078c343e43fd04e53dfce1debf75bdab4b377aa&include=experience"}],"total":2091,"limit":10,"offset":0,"next":{"limit":10,"offset":10,"hub_commit":"1078c343e43fd04e53dfce1debf75bdab4b377aa"},"execution_performed":false,"next_action":"inspect_selected_record","evidence_rule":"A search match does not establish runtime compatibility or task completion."}