Rasterio Windowed Raster Preprocessing Starter
A Claude skill from ma-compbio-lab/SkillFoundry.
Install
$ agentstack add skill-ma-compbio-lab-skillfoundry-rasterio-windowed-raster-preprocessing-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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ma-compbio-lab-skillfoundry-rasterio-windowed-raster-preprocessing-starter) 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
Rasterio Windowed Raster Preprocessing Starter
Use this skill to generate a tiny toy raster with Rasterio, extract a window, downsample it, and summarize the preprocessing result in compact JSON.
What it does
- Creates a deterministic single-band GeoTIFF with a simple
EPSG:4326transform. - Reads a 2x2 window from the raster.
- Produces a 2x2 average-resampled version of the whole raster.
- Emits a compact JSON summary with bounds, means, and extracted values.
When to use it
- You need a local starter for raster preprocessing or remote-sensing data handling.
- You want a minimal example of
rasterio.open,Window, and average resampling. - You want a deterministic JSON artifact before moving on to larger raster pipelines.
Example
slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/scripts/run_rasterio_windowed_preprocessing.py \
--out scratch/geospatial/rasterio_preprocessing_summary.jsonVerification
- Skill-local tests:
python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/tests -p 'test_*.py' - Expected summary:
window_values == [[6.0, 7.0], [10.0, 11.0]]
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.