Skip to content
TrustedSkillsbeta
Back to all skills

Astropy

Checked
ovachiever·vlatest·frontend

Astropy provides a streamlined interface for astronomical data manipulation and visualization, simplifying complex tasks for users.

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 ovachiever/droid-tings --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

ovachiever

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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/astropy/SKILL.md
Scanned
8 files, 2,443 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

The ovachiever-astropy skill provides access to the Astropy Python library, enabling AI agents to perform astronomical calculations and data analysis. It allows for tasks such as converting between different coordinate systems, working with FITS files (a common format for astronomical data), and performing basic cosmological calculations. This skill expands an agent's ability to process and understand astronomical datasets.

When to use it

  • Analyzing telescope data: Use the skill to convert raw telescope observations into meaningful scientific results.
  • Calculating distances in space: Determine distances between celestial objects using cosmological models.
  • Converting coordinate systems: Transform coordinates of stars or galaxies from one system (e.g., equatorial) to another (e.g., galactic).
  • Working with astronomical image files: Read, manipulate, and analyze data stored in FITS format.

Key capabilities

  • Coordinate transformations between various astronomical coordinate systems.
  • FITS file I/O for reading and writing astronomical data.
  • Cosmological calculations (e.g., distance modulus).

Example prompts

  • "Convert the J2000 coordinates 19h30m58.67s, +40°17'24.1" to galactic coordinates."
  • "Read the FITS file 'my_image.fits' and display its header information."
  • "Calculate the distance modulus for an object with apparent magnitude 15.2 and absolute magnitude -2.5."

Tips & gotchas

  • Requires a Python environment with Astropy installed. Ensure your agent has access to this environment.
  • Familiarity with astronomical concepts (e.g., coordinate systems, FITS files) is helpful for interpreting results.