graspgenx
graspgenx is an Embedded, IoT & robotics skill for AI agents, published by NVlabs in the GraspGenX repository on GitHub. Skillspace rates graspgenx D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Run and operate GraspGenX — a cross-embodiment foundation model for 6-DOF grasp generation. Use when installing GraspGenX (uv or Docker), running inference demos (segmented object point cloud, scene point cloud, or object mesh), choosing a gripper or planner (graspmoe vs diffusion), starting or calling the ZMQ client-server, driving grasping through the MCP server, integrating a new gripper (config wizard / sweep-volume params), or wiring grasps into an end-to-end cuRobo + Newton pick-and-place pipeline. Also covers checkpoint/asset setup and the depth-quality requirement for real-world use.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 131
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
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.