i4h-workflow-dataset-transfer
i4h-workflow-dataset-transfer is a Fine-tuning & training data skill for AI agents, published by isaac-for-healthcare in the i4h-workflows repository on GitHub. Skillspace rates i4h-workflow-dataset-transfer B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Augment HDF5 camera streams with NVIDIA Cosmos Transfer for visual diversity. Use when the user asks to apply Cosmos, domain-randomize videos, or make sim look photoreal. Requires Docker and GPU.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 143
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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