geomaster

geomaster is a Geospatial & mapping skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates geomaster C (77/100) and it passed the safety scan; a judge model has also reviewed it.

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
44,723

Placed #5 of 6 in the judged category final for Geospatial & mapping.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubK-Dense-AI/scientific-agent-skills

Our review

Architecture
94 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #5 of 6 in the judged category final for Geospatial & mapping.

  • Trigger5454
  • Instructions5858
  • Specificity7878
  • Safety8585
  • Disclosure2929
  • Maintenance4141
Real, correct geospatial code (NDVI, CRS handling, GEE time series) buried in a kitchen-sink description and one long unbroken wall of installs and snippets with no visible progressive disclosure.
A tightened revision of the other variant, fixing a division-by-zero gap and a conda-vs-pip packaging error while adding the Web Mercator warning that prevents the most common GIS mistake.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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