coding-galaxy-gen-astrophysics
coding-galaxy-gen-astrophysics is a Physics, mathematics & simulation skill for AI agents, published by coilyco-flight-deck in the galaxy-gen repository on GitHub. Skillspace rates coding-galaxy-gen-astrophysics C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Galaxy-scale astrophysics for the procedural galaxy sim. Morphology, mass distribution, rotation curves, star formation, stellar populations, AGN, mergers. Triggers - galaxy generation, galaxy morphology, spiral arms, elliptical, rotation curve, dark matter halo, IMF, HR diagram, star formation, AGN, supermassive black hole, galaxy merger, Hubble sequence, Tully-Fisher.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- 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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