cuvslam-troubleshoot
cuvslam-troubleshoot is a System & environment troubleshooting skill for AI agents, published by nvidia-isaac in the cuVSLAM repository on GitHub. Skillspace rates cuvslam-troubleshoot C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Troubleshoot NVIDIA cuVSLAM (CUDA Visual SLAM) pose accuracy, tracking, build, and integration issues. Use when asked to debug cuVSLAM tracking failures, pose drift, lost tracking, calibration problems, image quality issues, IMU integration, multi-camera setups, SLAM loop closure, or build/install problems with cuVSLAM, PyCuVSLAM, or Isaac ROS cuVSLAM. Triggers on: "cuVSLAM not tracking", "visual odometry drift", "SLAM lost", "cuvslam build error", "PyCuVSLAM install", "Isaac ROS visual_slam", "camera calibration issue", "stereo tracking bad", "cuVSLAM pose inaccurate".
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,714
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Troubleshoots the publicly released NVIDIA cuVSLAM library
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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