Install
$ agentstack add skill-ma-compbio-lab-skillfoundry-geopandas-spatial-join-starter ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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:3857and 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, andto_crs. - You want a repo-aware wrapper that fixes the
PROJdata-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.
- Author: ma-compbio-lab
- Source: ma-compbio-lab/SkillFoundry
- License: Apache-2.0
- Homepage: https://ma-compbio-lab.github.io/SkillFoundry/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.