ebench-integrate-policy skillA
ebench-integrate-policy is agent-read markdown (skill) from internrobotics/ebench: Implement or review a custom VLA policy adapter for EBench EvalClient, including observation preprocessing, action semantics, chunking, and episode resets..
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What the file says
# Integrate a policy with EBench Resolve paths from the EBench root. Read `third_party/genmanip-client/src/genmanip_client/eval_client.py` and the closest adapter: `baselines/X-VLA/run.py`, `baselines/openpi/scripts/pi_eval_client_online.py`, or `baselines/InternVLA-A1/inference.py`. Inspect the user's policy inference API and training transforms before choosing a mapping. ## Establish the contract Observations are keyed by string worker IDs; a worker's model observation is `obs[wid]["obs"]`. Existing adapters use: - `video.overlook_camera_view`, `video.left_camera_view`, `video.right_camera_view`; - `state.joints`, `state.gripper`, `state.base`, and optionally `state.ee_pose`; - `instruction`, and `reset` for episode-boundary handling. Verify image type, RGB ordering, shape, resize/padding, proprioception ordering, units, and normalization against training. Do not invent missing cameras or silently replace missing input with zeros. Keep checkpoint normalization and model transforms paired. …
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How to install
mdr add internrobotics/ebench/ebench-integrate-policy@git:20260923.5985d56mdr add internrobotics/ebench/ebench-integrate-policy@sha256:340e0da1d8775660Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
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Source
internrobotics/ebench · 140 stars · license MIT · pushed 2026-09-24 · branch main
API
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