astropy-astronomy

astropy-astronomy is a skill for Claude Code, Codex from beita6969/ScienceClaw. It costs 43 tokens per session (1,064 once invoked), scanned A, original, MIT.

A set of astronomy calculations built around Astropy, a Python library for scientific astronomy. It works with sky coordinates, units, FITS files, time systems, and cosmological measurements.

In plain words
What is it for?
Use it to transform celestial coordinates, convert astronomical units and times, read or write FITS files, calculate distances and ages in cosmology, and measure angular separation.
Why use it?
It handles specialized astronomy formats, coordinate systems, units, and time conversions that are easy to calculate incorrectly by hand.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to transform celestial coordinates, convert astronomical units and times, read or write FITS files, calculate distances and ages in cosmology, and measure angular separation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/beita6969/scienceclaw/astropy-astronomy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add beita6969/ScienceClaw --skill astropy-astronomy
Clone the repo
git clone --depth 1 https://github.com/beita6969/ScienceClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for astropy-astronomy

README.md
[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/astropy-astronomy/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/astropy-astronomy)
Your own site
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/astropy-astronomy"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/astropy-astronomy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for astropy-astronomy

Your own site · 80×15
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Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,064 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01064
Opus 5 $0.00022 $0.00532
Sonnet 5 $0.00009 $0.00213
Haiku 4.5 $0.00004 $0.00106

Measured 11d ago against content hash 283e05aa30d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

astropy-astronomy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/astropy-astronomy/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Astropy Astronomy

Astronomical computations using Astropy.

When to Use

  • Celestial coordinate transforms (ICRS, Galactic, AltAz)
  • Unit conversions for astronomical quantities
  • Reading, writing, or inspecting FITS files
  • Cosmological calculations (distances, ages, lookback times)
  • Time system conversions (UTC, TAI, TDB, MJD, JD)

When NOT to Use

  • Telescope control or instrument automation
  • Real-time observation planning or scheduling
  • Image reduction or photometry pipelines (use photutils)
  • N-body simulations

Coordinate Transforms

from astropy.coordinates import SkyCoord, EarthLocation, AltAz
from astropy.time import Time
import astropy.units as u

coord = SkyCoord(ra=10.684*u.deg, dec=41.269*u.deg, frame='icrs')  # M31
coord_str = SkyCoord('00h42m44.3s', '+41d16m09s', frame='icrs')

# ICRS to Galactic
galactic = coord.galactic
print(f"l={galactic.l:.4f}, b={galactic.b:.4f}")

# Angular separation
c1 = SkyCoord(ra=10.684*u.deg, dec=41.269*u.deg)
c2 = SkyCoord(ra=11.0*u.deg, dec=41.5*u.deg)
sep = c1.separation(c2)

# AltAz (horizontal) coordinates
location = EarthLocation(lat=34.05*u.deg, lon=-118.25*u.deg, height=100*u.m)
time = Time('2026-03-15 03:00:00', scale='utc')
altaz = coord.transform_to(AltAz(obstime=time, location=location))
print(f"Alt={altaz.alt:.2f}, Az={altaz.az:.2f}")

Unit Conversions

import astropy.units as u

d = 10 * u.pc
print(d.to(u.lyr))         # parsecs to light-years
wav = 21 * u.cm
freq = wav.to(u.GHz, equivalencies=u.spectral())
wavelength = (13.6 * u.eV).to(u.nm, equivalencies=u.spectral())

FITS File Handling

from astropy.io import fits

with fits.open('image.fits') as hdul:
    hdul.info()
    header = hdul[0].header
    data = hdul[0].data

hdu = fits.PrimaryHDU(data_array)
hdu.header['OBJECT'] = 'M31'
hdu.writeto('output.fits', overwrite=True)

Cosmological Calculations

from astropy.cosmology import Planck18 as cosmo

z = 1.0
d_L = cosmo.luminosity_distance(z)       # luminosity distance
d_A = cosmo.angular_diameter_distance(z) # angular diameter distance
age = cosmo.age(z)                       # age of universe at z
lookback = cosmo.lookback_time(z)        # lookback time
H_z = cosmo.H(z)                        # Hubble parameter at z

Read the full file on GitHub · 121 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 121 lines · 43 tokens per session scan A 283e05aa30d8

Subscribe to this mod's changes

astropy-astronomy is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 1,064 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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