Astropy
CheckedAstropy provides a streamlined interface for astronomical data manipulation and visualization within your frontend applications, simplifying complex calculations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add tondevrel/scientific-agent-skills --skill astropy -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
tondevrel
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned tondevrel/scientific-agent-skills at 6e89d9e8c8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6e89d9e8c8
- Manifest
- skills/astropy/SKILL.md
- Scanned
- 1 file, 283 lines
About this skill
What it does
This skill provides access to Astropy, a Python package for astronomy. It enables AI agents to perform tasks such as reading and writing FITS files (a common astronomical data format), working with celestial coordinates, and performing cosmological calculations. The agent can leverage Astropy's functionalities to analyze astronomical datasets and generate reports.
When to use it
- Analyzing telescope observation data: Process raw data from telescopes into calibrated measurements.
- Calculating distances to stars or galaxies: Utilize cosmological functions within Astropy for accurate distance estimations.
- Converting between coordinate systems: Transform coordinates between different celestial reference frames (e.g., equatorial, galactic).
- Generating astronomical catalogs: Create and manipulate lists of celestial objects with associated properties.
Key capabilities
- FITS file I/O
- Celestial coordinate transformations
- Cosmological calculations
- Units handling
Example prompts
- "Can you read the FITS data from this file and tell me the exposure time?"
- "Convert these equatorial coordinates to galactic coordinates."
- "Calculate the distance to a galaxy at redshift z=0.5 using the Planck cosmology."
Tips & gotchas
- Requires Python 3.7 or higher.
- Familiarity with astronomical concepts and coordinate systems will improve results.