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Astropy

Checked
jackspace·vlatest·frontend·MIT

Astropy provides a streamlined frontend for visualizing and interacting with astronomical data, simplifying analysis and exploration.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jackspace/claudeskillz --skill astropy -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jackspace

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 jackspace/claudeskillz at aef4e299d1.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
aef4e299d1
Manifest
skills/scientific-pkg-astropy/SKILL.md
Scanned
2 files, 343 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to Astropy, a Python package for astronomy. It enables AI agents to perform astronomical calculations, work with FITS files (a common data format in astronomy), and manipulate astronomical coordinates. The skill allows for tasks like calculating distances between celestial objects or converting between different coordinate systems.

When to use it

  • Analyzing telescope data: Use the skill to process raw data from a telescope, such as extracting information from FITS files.
  • Calculating orbital parameters: Determine an object's orbit based on observational data using Astropy’s functions.
  • Converting coordinate systems: Translate between different astronomical coordinate systems (e.g., equatorial to galactic).
  • Simulating astronomical observations: Generate synthetic datasets for testing or educational purposes.

Key capabilities

  • FITS file I/O
  • Astronomical coordinate transformations
  • Time and date handling in astronomy
  • Units conversion
  • Physical constants

Example prompts

  • "Can you convert the J2000 coordinates (10:00:00, 20:00:00) to galactic coordinates?"
  • "Read the data from this FITS file and tell me the exposure time."
  • “Calculate the distance between star A at RA 19h 53m 46.8s Dec -0° 17' 28.5” and star B at RA 20h 30m 00.3s Dec +23° 23’ 26.”

Tips & gotchas

  • Requires a Python environment with Astropy installed. The skill will likely need access to this environment to function correctly.
  • Familiarity with astronomical concepts and coordinate systems is helpful for interpreting results.