Security audit
Security checks across malware telemetry and agentic risk
This is a coherent local LiDAR analysis skill, with dependency and output-overwrite cautions but no hidden network use, persistence, or destructive behavior found.
Install this in a project or virtual environment, pin and scan the Python dependencies if reproducibility matters, and run it with a fresh output directory because it writes standard filenames such as dem.tif, dsm.tif, qa.json, and manifests.
Returns exit code (0 = ok, 2 = arg error)."""
# File existence
for flag, accessor in FILE_ARGS.items():
path = eval(accessor) # safe: only string concat
if path is not None and not Path(path).exists():
print(f"ERROR: --{flag} not found: {path}", file=sys.stderr)
return 2geoskill-data-fetcher>=0.2.0 # Third-party dependencies used by this skill laspy numpy rasterio scipy
# Third-party dependencies used by this skill laspy numpy rasterio scipy
# Third-party dependencies used by this skill laspy numpy rasterio scipy
laspy numpy rasterio scipy
# Requirements for lidar-point-cloud-analysis # Shared data-download library (Planetary Computer / NASA POWER / OSM) geoskill-data-fetcher>=0.2.0 # Third-party dependencies used by this skill laspy
65/65 vendors flagged this skill as clean.
Detected: suspicious.dynamic_code_execution