reading-sensor-pointclouds
reading-sensor-pointclouds is an Embedded, IoT & robotics skill for AI agents, published by NVIDIA-Omniverse in the ovrtx repository on GitHub. Skillspace rates reading-sensor-pointclouds C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Mapping and reading lidar or radar PointCloud composite render-var tensors. Use when user asks how to access PointCloud output data, map Coordinates, Counts, Intensity, RCS, RadialVelocityMs, or TimeOffsetNs tensors, slice valid entries, or move sensor point clouds through CPU/CUDA memory. For channel meanings and units, use the interpreting-lidar-pointclouds or interpreting-radar-pointclouds skills.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 185
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
- 81 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Reading Omniverse RTX sensor PointCloud render vars
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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