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astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

70

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

72%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is actionable and well-structured with executable examples and a clean one-level-deep reference system. It is held back by some redundancy in the capability descriptions and the absence of explicit validation/verification checkpoints in the destructive/batch workflows.

Suggestions

Tighten the 'Core Capabilities' 'Key operations' lists, which restate well-known astropy module behavior; lean on the reference files instead to improve conciseness.

Add an explicit validate-then-proceed feedback loop for destructive/batch operations such as writing FITS files or batch-modifying tables (e.g., verify header round-trips with a read-back) to raise workflow clarity.

Sequence the Common Workflows as numbered steps with a verification checkpoint where the operation modifies files on disk, rather than presenting them purely as runnable scripts.

DimensionReasoningScore

Conciseness

Mostly efficient with executable Quick Start and workflow examples, but the 'Core Capabilities' section restates module purposes and 'Key operations' lists that largely restate what Claude already knows about astropy, so it could be tightened.

2 / 3

Actionability

Provides complete, executable code blocks (Quick Start, coordinate conversion, FITS analysis, cosmology, cross-matching) with real imports and method calls that are copy-paste ready, matching the fully executable anchor.

3 / 3

Workflow Clarity

Workflows are presented as runnable examples rather than sequenced multi-step processes, and the destructive/batch operations like FITS writing lack explicit validation checkpoints, capping workflow clarity at 2 per the rubric guidance.

2 / 3

Progressive Disclosure

SKILL.md is a concise overview with each module clearly signaling a one-level-deep reference (e.g., 'See: references/units.md') and all seven referenced files exist in references/, with a consolidated 'Reference Files' index for easy navigation.

3 / 3

Total

10

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description that names concrete astronomical capabilities and provides an explicit 'Use when' trigger clause covering both what the skill does and when to apply it. It occupies a distinct niche and uses natural domain vocabulary that users would realistically invoke.

DimensionReasoningScore

Specificity

Lists multiple concrete actions such as 'coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions', matching the anchor for naming several specific concrete actions.

3 / 3

Completeness

Clearly states what it does ('Comprehensive Python library for astronomy and astrophysics') and when to use it with an explicit 'Use when...' trigger clause naming specific task types, answering both what and when.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — 'FITS files', 'physical units', 'celestial coordinates', 'cosmological calculations', 'time systems', 'WCS' — giving good coverage of the domain's common phrasings.

3 / 3

Distinctiveness Conflict Risk

The astronomy/astrophysics niche is distinct and the triggers (FITS, WCS, celestial coordinates, cosmology) are unlikely to fire for non-astronomical skills, giving it a clear niche with minimal conflict risk.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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