precip_analyze_atlas14-variance
precip_analyze_atlas14-variance is a Geospatial & mapping skill for AI agents, published by gpt-cmdr in the ras-commander repository on GitHub. Skillspace rates precip_analyze_atlas14-variance D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze spatial variability of NOAA Atlas 14 precipitation frequency estimates within HEC-RAS model domains using intelligent extent-based downloading. Use before rain-on-grid modeling to decide whether uniform rainfall is valid, especially for large domains, multi-event comparisons, and engineering reports. Calculates min/max/mean/range statistics within 2D flow areas or project extents using NOAA CONUS NetCDF with HTTP byte-range requests. Triggers: atlas 14 variance, atlas14 variance, precipitation variance, spatial variance analysis, uniform rainfall, spatially variable rainfall, rain-on-grid variance, atlas 14 grid, atlas14 grid, noaa atlas 14 conus, precipitation frequency grid, assess uniform rainfall, extent-based precipitation, 2d flow area precipitation, Atlas14Grid, Atlas14Variance, range percentage, CONUS NetCDF.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 69
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
- 79 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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