Astropy
CheckedAstropy provides a user-friendly interface for visualizing and manipulating astronomical data, simplifying complex analysis workflows.
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 lifangda/claude-plugins --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
lifangda
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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 lifangda/claude-plugins at 76d90e8304.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76d90e8304
- Scanned
- 6 files, 2,263 lines
About this skill
What it does
This skill provides access to Astropy, a Python package for astronomy. It allows AI agents to perform tasks such as reading and writing FITS files (a common astronomical data format), performing coordinate transformations between different celestial reference frames, and accessing cosmological constants. The agent can leverage this to analyze astronomical datasets or generate simulations.
When to use it
- Analyzing telescope observation data: Extracting information from FITS files produced by telescopes.
- Calculating distances to stars and galaxies: Using Astropy's cosmological functions.
- Converting between equatorial and galactic coordinates: Performing coordinate transformations for celestial objects.
- Simulating astronomical events: Generating synthetic datasets based on physical models.
Key capabilities
- FITS file I/O (reading and writing)
- Coordinate transformations
- Cosmological calculations
- Access to astronomical constants
Example prompts
- "Can you read the FITS file 'image.fits' and tell me the exposure time?"
- "Convert the coordinates of this star from J2000 equatorial to Galactic."
- "What is the Hubble constant according to the latest Astropy data?"
Tips & gotchas
- Requires a Python environment with Astropy installed. Ensure that the agent has access to this environment.