navigation-primitives
Pass
Audited by Gen Agent Trust Hub on Sep 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a utility library for geometric and mathematical operations related to robot navigation in a simulated environment. All operations are local and perform deterministic calculations on simulation data.
- [INDIRECT_PROMPT_INJECTION]: The skill processes USD stage data and occupancy map files (YAML/PNG) to derive navigation primitives.
- Ingestion points: USD stage prims accessed via the Pixar USD API (
pxr.Usd) and map configuration files. - Boundary markers: None identified; the skill assumes the provided simulation environment data is valid for processing.
- Capability inventory: The scripts are limited to bounding box calculations, grid rasterization, A* path planning, and kinematics transforms. No capabilities for network communication, external process execution, or file system writes were detected.
- Sanitization: The
occupancy_map_from_usd.pyscript includes logic to filter prims based on collision API presence and specific visual scope prefixes, which acts as a form of geometric validation. - [EXTERNAL_DOWNLOADS]: The documentation and scripts reference standard dependencies including
numpy,scipy, andopencv-python(cv2). These are well-known, trusted packages for robotics and scientific computing. It also utilizes officialisaacsimandomnimodules provided by NVIDIA for the Isaac Sim platform.
Audit Metadata