v1.0.0

Historical Map

BenignClawScan verdict for this skill. Analyzed May 1, 2026, 8:35 AM.

Analysis

This appears to be a coherent local map-generation skill, with the main thing to notice being its normal third-party Python dependencies and external map-data setup.

GuidanceThis skill looks appropriate for generating historical maps from local GeoJSON data. Before installing, consider using a virtual environment for the Python dependencies and only download map data from a source you trust.

Findings (1)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

Abnormal behavior control

Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.

Agentic Supply Chain Vulnerabilities

SeverityLowConfidenceHighStatusNote

SKILL.md

pip install geopandas matplotlib numpy Pillow pyproj shapely ... git clone https://github.com/aourednik/historical-basemaps.git

The skill relies on third-party Python packages and an external GeoJSON dataset. This is expected for generating historical maps, but it is still a supply-chain input users should trust before installing or downloading.

User impactInstalling or using the skill may add Python geospatial libraries and download external map data into the user's environment.

RecommendationInstall the dependencies in a virtual environment, use trusted package sources, and verify the external historical-basemaps dataset before relying on it.