geospatial-analysis
v0.1.0Analyze geospatial data using geopandas with proper coordinate projections. Use when calculating distances between geographic features, performing spatial fi...
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by@wu-uk
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (geospatial analysis with GeoPandas) matches the SKILL.md content: examples and best practices for loading GeoJSON, projecting CRSes, spatial filtering, and distance calculations. The skill does not request unrelated credentials, binaries, or config paths.
Instruction Scope
The SKILL.md is scoped to typical geospatial tasks and references reading local files (e.g., plates.json, boundaries.json, points.json) and user-provided earthquake data. It does not instruct the agent to read arbitrary system files, access network endpoints, or exfiltrate data. Note: the guide assumes GeoPandas/Shapely/CRS tooling are available but does not provide installation steps.
Install Mechanism
No install spec is present (instruction-only). This is low-risk and consistent with a documentation-style skill. The agent will require GeoPandas and dependencies to be installed separately.
Credentials
No environment variables, credentials, or config paths are requested. The absence of credential requests is appropriate for an offline geospatial guide.
Persistence & Privilege
always is false and model invocation is allowed (the platform default). The skill does not request persistent presence or system-level configuration changes.
Assessment
This skill is an instructional guide (no code is shipped). It's coherent and does not request credentials or install code. Before using: ensure your runtime has GeoPandas, Shapely, and any required CRS/projection libraries installed; provide the expected local data files (plates.json, boundaries.json, etc.) or pass structured earthquake data. Be aware that EPSG:4087 is presented as an example metric CRS — choosing the most appropriate projected CRS depends on your region/analysis and, for global/accurate geodesic distances, you may prefer geodesic methods (pyproj.Geod) rather than a single world projection. If you allow autonomous agent invocation, remember the agent could read the named local files from its working directory when executing these instructions, so avoid placing sensitive data in those files.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.