astropy
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
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.
- Package
- 9 files, 89 KB
- SKILL.md
- 2083 words, 12+ sections
- Code
- None. Instructions only.
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.11+, Astropy 8.0.1 and NumPy 2+; SciPy for cosmology, matching and fitting (uv for installation). Some features (object name resolution, site lookups, remote FITS reads, IERS updates) need network access.
SKILL.md covers: Astropy · Overview · When to Use This Skill · Quick Start · Units and quantities · Coordinates · Time · FITS files · Tables · Cosmology · Core Capabilities · 1. Units and Quantities (`astropy.units`)
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 17 KB |
references/coordinates.md | doc | 8.9 KB |
references/cosmology.md | doc | 8.3 KB |
references/fits.md | doc | 11 KB |
references/review.md | doc | 8.0 KB |
references/tables.md | doc | 11 KB |
references/time.md | doc | 11 KB |
references/units.md | doc | 4.4 KB |
references/wcs_and_other_modules.md | doc | 11 KB |
External hosts referenced
docs.astropy.org github.com arxiv.org developers.google.com datacenter.iers.org doi.org export.arxiv.org learn.astropy.org maia.usno.navy.mil nominatim.org operations.osmfoundation.org pypi.org pyvo.readthedocs.io
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-astropy-scan.json
- Badge for your README:
- Request a re-scan