astropy SKILL.md skillA
astropy from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/astropy@v1.5Pins v1.5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/astropy/SKILL.md- Versions recorded
- 6
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 17,045 bytes
- Repository stars
- 53,159
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Astropy ## Overview Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. ## When to Use This Skill Use astropy when tasks involve: - Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.) - Working with physical units and quantities (converting Jy to mJy, parsecs to km, etc.) - Reading, writing, or manipulating FITS files (images or tables) - Cosmological calculations (luminosity distance, lookback time, Hubble parameter) - Precise time handling with different time scales (UTC, TAI, TT, TDB) and formats (JD, MJD, ISO) - Table operations (reading catalogs, cross-matching, filtering, joining) - WCS transformations between pixel and world coordinates - Astronomical constants and calculations ## Quick Start Targets Astropy 8.0.1. Numerical and small synthetic file examples were executed; …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/astropy@sha256:2f9d43ae65766a97The line at the top of this page pins the label v1.5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nsnwo4uj22baz4lc)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 17,045 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 15,873 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 15,434 B | A | view · diff |
| v1.2 | 2026-07-26 | b085e11 | 14,477 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 14,482 B | A | view · diff |
| v1.1 | 2026-05-27 | b4d0094 | 12,789 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17045 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nsnwo4uj22baz4lc GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/astropy GET https://markdownregistry.com/api/v1/blob/2f9d43ae65766a9715112e3b56cb83fb9c12e4e8b6356c0c4c22131c6cfa536f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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