metpy-atmosphere
metpy-atmosphere is a Physics, mathematics & simulation skill for AI agents, published by xjtulyc in the awesome-rosetta-skills repository on GitHub. Skillspace rates metpy-atmosphere D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Atmospheric analysis with MetPy and Siphon: download NWP data from THREDDS/NOMADS, plot skew-T log-P diagrams, compute CAPE/CIN parcel metrics, and build synoptic composites.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 63 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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