Skip to content
TrustedSkillsbeta
Back to all skills

Astropy

Listed
k-dense-ai·vlatest·frontend·MIT

Generates interactive Astropy visualizations and data exploration tools directly within web frontends.

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 k-dense-ai/scientific-agent-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

k-dense-ai

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 k-dense-ai/scientific-agent-skills at a1043ef544.

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

Commit
a1043ef544
Manifest
skills/astropy/SKILL.md
Scanned
0 files
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 the Astropy library, a core Python package for astronomy. It enables AI agents to perform tasks such as working with astronomical coordinates, units, and data formats like FITS files. The agent can leverage this skill to analyze astronomical images, calculate distances between celestial objects, and manipulate astronomical data.

When to use it

  • Analyzing Astronomical Images: When you need an agent to process and interpret data from telescopes or space missions.
  • Calculating Celestial Distances: For tasks involving determining the separation between stars, planets, or galaxies.
  • Working with FITS Files: If your project requires reading, writing, or manipulating astronomical data stored in Flexible Image Transport System (FITS) format.
  • Coordinate Transformations: When converting between different astronomical coordinate systems (e.g., equatorial to galactic).

Key capabilities

  • Access to the Astropy library
  • Astronomical coordinate handling
  • Unit conversion and manipulation
  • FITS file I/O
  • Data analysis tools for astronomy

Example prompts

  • "Calculate the distance between Betelgeuse and Rigel in parsecs."
  • "Read the FITS file 'image.fits' and display its header information."
  • "Convert the coordinates of this star from J2000 to Galactic coordinates: RA=10h30m, Dec=+45°."

Tips & gotchas

  • Requires a Python environment with Astropy installed. Ensure your agent has access to such an environment.