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SKILL verified Apache-2.0 Self-run

Geopandas Spatial Join Starter

skill-ma-compbio-lab-skillfoundry-geopandas-spatial-join-starter · by ma-compbio-lab

A Claude skill from ma-compbio-lab/SkillFoundry.

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Install

$ agentstack add skill-ma-compbio-lab-skillfoundry-geopandas-spatial-join-starter

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

GeoPandas Spatial Join Starter

Use this skill to run a deterministic point-in-polygon join with GeoPandas and summarize the result in compact JSON.

What it does

  • Builds a toy vector dataset with two regions and four observation points.
  • Performs a spatial join to assign points to regions.
  • Reprojects the joined data to EPSG:3857 and records projected bounds.
  • Emits a reusable JSON summary for downstream geospatial workflows.

When to use it

  • You need a local, no-auth starter for vector geospatial analysis.
  • You want a minimal example of GeoDataFrame, sjoin, and to_crs.
  • You want a repo-aware wrapper that fixes the PROJ data-path issue automatically.

Example

slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/geopandas-spatial-join-starter/scripts/run_geopandas_spatial_join.py \
  --out scratch/geopandas/spatial_join_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/geopandas-spatial-join-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_frontier_domain_skills -v

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.