Security audit
Security checks across malware telemetry and agentic risk
This appears to be a coastal flood analysis skill, with some disclosure and data-quality caveats but no evidence of hidden, destructive, or credential-seeking behavior.
Install only if you are comfortable with Python geospatial dependencies and optional remote DEM downloads. Treat exposure statistics as demo or placeholder values unless the implementation is updated to use real population, building, road, and facility layers; verify results before using them for planning or safety decisions.
Returns exit code (0 = ok, 2 = arg error)."""
# File existence
for flag, accessor in FILE_ARGS.items():
path = eval(accessor) # noqa: S307 - 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 2return 2
# Numeric ranges
for flag, (lo, hi) in NUMERIC_RANGES.items():
val = getattr(args, flag, None)
if val is None:
continue
if lo is not None and val < lo:copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
geoskill-data-fetcher>=0.2.0 # Third-party dependencies used by this skill numpy rasterio
# Third-party dependencies used by this skill numpy rasterio
# Requirements for coastal-flood-risk # Shared data-download library (Planetary Computer / NASA POWER / OSM) geoskill-data-fetcher>=0.2.0 # Third-party dependencies used by this skill numpy
65/65 vendors flagged this skill as clean.
Detected: suspicious.dynamic_code_execution