astropy
astropy is a Physics, mathematics & simulation skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates astropy C (72/100) and it passed the safety scan; a judge model has also reviewed it.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #5 of 6 in the judged category final for Physics, mathematics & simulation.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- 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 Physics, mathematics & simulation.
- Trigger
85 85 - Instructions
85 85 - Specificity
78 78 - Safety
95 95 - Disclosure
88 88 - Maintenance
75 75
Well-organized six-topic astronomy tour with a working end-to-end snippet, but shallower on hard-won gotcha detail than the strongest entries here.
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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