astropy
Analyze Astronomy Data with Astropy
Astronomy workflows require careful handling of units, coordinates, time scales, and specialized formats. This skill provides practical Astropy guidance for accurate, efficient analysis.
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Review the Skillstore skill "astropy" from https://skillstore.io/skills/davila7-astropy.md and its manifest at https://skillstore.io/api/skills/davila7-astropy/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
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Test it
Using "astropy". Convert 2.5 parsecs to light-years and explain the result.
Expected outcome:
2.5 parsecs is approximately 8.15 light-years. The conversion preserves the distance dimension and reports the requested unit.
Using "astropy". Transform ICRS coordinates RA 83.6331 degrees and Dec 22.0145 degrees into Galactic coordinates.
Expected outcome:
The approximate Galactic coordinates are longitude 184.56 degrees and latitude -5.78 degrees. No observation time or location is required for this transformation.
Using "astropy". Outline a safe review of a large FITS image before analysis.
Expected outcome:
- Open the file with a context manager and use memory mapping when appropriate.
- Inspect the HDU structure before selecting image data.
- Review header metadata, dimensions, data type, missing values, and WCS validity.
- Avoid modifying structural header keywords without a specific requirement.
Security Audit
SafeAll 53 static findings are false positives caused by Markdown fences, inline code, benign examples, or ordinary documentation. No prompt injection, malicious execution, credential access, or covert data transfer intent was found.
Risk Factors
📁 Filesystem access (4)
⚡ Contains scripts (1)
🌐 Network access (4)
⚙️ External commands (35)
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<iframe src="https://skillstore.io/embed/skills/davila7-astropy.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
davila7. (2026). astropy security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-astropy/audits/9BibTeX citation
@techreport{davila7-davila7-astropy-2026,
author = {davila7},
title = {astropy security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/davila7-astropy/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "astropy security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-astropy/audits/9"
identifiers:
- type: other
value: "skillstore:davila7-astropy:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
davila7-astropy
2026-08-21
k-dense-ai-astropy
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Standardize Observation Data
Convert units, times, and coordinates into consistent forms before scientific analysis.
Inspect FITS Products
Read FITS headers and arrays, validate WCS information, and summarize observation metadata.
Build Reproducible Catalog Workflows
Cross-match source catalogs, preserve units, and compute cosmological quantities with explicit assumptions.
Try These Prompts
Use Astropy to convert [value and unit] into [target unit]. Explain whether the units are dimensionally compatible.
Transform [coordinate] from [source frame] to [target frame]. State every required time, location, distance, or motion assumption.
Design an Astropy workflow for [FITS file purpose]. Include HDU inspection, header validation, data selection, WCS checks, and resource handling.
Design a reproducible Astropy pipeline for [catalogs and research question]. Cover cleaning, units, coordinate matching, uncertainty, cosmology, performance, and validation.
Best Practices
- Attach units to quantities and validate dimensional compatibility before conversion.
- Specify coordinate frames, time scales, observer locations, and cosmological models explicitly.
- Use context managers, vectorized operations, masking, and memory mapping for reliable data processing.
Avoid
- Do not mix unitless values with physical quantities when units affect the result.
- Do not transform observer-dependent coordinates without the required time and location.
- Do not overwrite FITS files or structural headers before validating the source and intended changes.