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Astropy

Checked
microck·vlatest·frontend

Astropy provides a streamlined frontend for visualizing astronomical data, simplifying complex charts and plots for quick analysis.

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 microck/ordinary-claude-skills --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

microck

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 microck/ordinary-claude-skills at 1056d293d4.

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

Commit
1056d293d4
Manifest
skills_all/astropy/SKILL.md
Scanned
4 files, 656 lines
Copies in repo
3 — all of them scanned
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 allows AI agents to perform calculations and manipulations related to astronomical data, such as coordinate transformations, unit conversions, and working with FITS files (a common format for astronomical images). The agent can leverage this skill to analyze astronomical datasets or generate simulations.

When to use it

  • Analyzing telescope data: Use the skill to process raw data from telescopes, converting between different coordinate systems.
  • Simulating astronomical observations: Generate synthetic data sets for testing analysis pipelines.
  • Calculating orbital parameters: Determine and manipulate orbital elements of celestial objects.
  • Working with FITS files: Read, write, and manipulate astronomical image data stored in the FITS format.

Key capabilities

  • Coordinate transformations (e.g., between equatorial and galactic coordinates)
  • Unit conversions (e.g., converting between magnitudes and flux densities)
  • FITS file I/O (reading and writing)
  • Astronomical calculations (e.g., calculating rise times of celestial objects)

Example prompts

  • "Convert the J2000 coordinates 19h 30m 54s, +40° 18' 36'' to galactic coordinates."
  • "Read the FITS file 'image.fits' and display its header information."
  • “Calculate the apparent magnitude of a star with flux density 1e-12 erg/s/cm^2/Angstrom.”

Tips & gotchas

This skill requires a Python environment with Astropy installed. Ensure that your AI agent has access to this environment and can execute Python code before using the skill.