I4H Dataset Converter

Commands, input paths, output locations, and the main data flow are visible, with no evidence of malware or credential theft; however, the default clone is unpinned, uses the home directory, executes external code, and enables --overwrite plus symlink creation without confirmation, backup, or rollback. HDF5 may contain sensitive healthcare data, but sanitization, log exposure, and access boundaries are not addressed, so points are deducted.

The workflow is clearly sequenced and provides feedback for missing HDF5, setup failures, and AV1 problems; however, the conversion implementation is outside the supplied evidence, dependencies are not locked, success verification checks only a few files and log text, and abnormal inputs, partial failures, permissions, and recovery are not covered. The benchmark has only two positive attempts, so static evidence does not support a higher score.

The audience, HDF5-to-LeRobot use case, trigger phrases, and non-fit for visualization are reasonably clear; however, the example hard-codes scissor_pick_and_place, the claimed latest-recording case only lists candidates rather than selecting the latest, and supported behavior depends on external environment YAML files. There is no evidence of Chinese-language interaction or mainland-China network reachability, so points are deducted.

The skill provides version, license, author, purpose, prerequisites, limitations, troubleshooting, and final-output guidance, with generally readable structure; however, it lacks the recommended Instructions and Examples sections, changelog, explicit maintenance responsibility, and update path. The skill card describes Markdown output while SKILL.md requests a result report, creating documentation inconsistency.

The core task, commands, and expected LeRobot artifacts are explicit, and the static benchmark reports two positive tasks passing with 79% Codex correctness and 52% effectiveness; however, the sample is only two positive tasks with no negative cases, and no verifiable artifacts or key-path tests are supplied. Users still must validate environment, paths, and outputs, so the score remains below the static ceiling.

Versioned evaluation files, two evaluation tasks, and an external evaluation summary provide limited auditability; however, the selected skill has no committed dedicated tests or CI coverage, and the benchmark lacks raw logs and output artifacts. Key conversion claims therefore cannot be independently reproduced from the supplied files, warranting only limited credit.