sf-terra
sf-terra is a Geospatial & mapping skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates sf-terra D (66/100) and it passed the safety scan; the rating is based on static analysis only.
R spatial data: sf vectors, terra rasters, spdep/spatialreg spatial stats, leaflet interactive maps, ggplot2+geom_sf() choropleths. CRS, spatial joins, geometry ops. Use when execution language is R. Python equivalent: geopandas.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 220
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- LGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Usage of public R packages sf, terra, leaflet
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.