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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.

69

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

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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 a well-structured, actionable overview with executable examples and excellent progressive disclosure into real reference files. Its main weakness is redundancy across the 'When to Use', Overview, key-operations, and Reference Files sections, and the absence of explicit validation checkpoints in the workflow recipes.

Suggestions

Consolidate the 'When to Use This Skill' list, the Overview, and the per-capability key-operations bullets to remove overlap, and drop the bottom Reference Files list since each section already signals its reference with a 'See:' pointer.

Add explicit validation checkpoints to the Common Workflows (e.g. verify WCS validity before transforming coordinates, check FITS HDU type before accessing .data) so each recipe has a clear validate-then-proceed sequence.

Trim the 'Additional Capabilities' stub sections that merely paraphrase the reference file contents, or fold them into the wcs_and_other_modules.md reference to keep the overview lean.

DimensionReasoningScore

Conciseness

The body avoids explaining concepts Claude already knows, but the 'When to Use' bullets overlap heavily with the Overview and the per-capability key-operations lists, and the bottom Reference Files section repeats the per-section 'See:' pointers, so it could be tightened. Not a 3 because of this redundancy; not a 1 because there is no padded conceptual fluff.

2 / 3

Actionability

Quick Start and four Common Workflows provide fully executable, copy-paste-ready code with real imports and API calls (e.g. SkyCoord transforms, fits.open context managers, Planck18.luminosity_distance, match_to_catalog_sky).

3 / 3

Workflow Clarity

The Common Workflows are clear recipes but presented as standalone snippets without explicit validation checkpoints or feedback loops; the sequence is present but checkpoints are implicit. Not a 3 because no embedded validate/retry steps; not a 1 because the steps are clearly ordered and the operations are non-destructive so the missing-feedback-loop cap is not the binding factor.

2 / 3

Progressive Disclosure

SKILL.md is a lean overview with seven well-signaled one-level-deep references, each marked with a '**See:**' pointer and consolidated in a Reference Files list; all seven referenced files exist in references/, and content is appropriately split with no nested references.

3 / 3

Total

10

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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.

The description is strong: it concisely states what the skill does, lists concrete capabilities, and gives explicit 'Use when...' trigger guidance with natural domain terms. It is clearly distinguishable and unlikely to trigger for the wrong skill.

DimensionReasoningScore

Specificity

The description lists many concrete capabilities and data types ('celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS)') plus specific actions ('coordinate transformations, unit conversions, FITS file manipulation'), matching the multiple-specific-actions anchor.

3 / 3

Completeness

It explicitly answers both 'what' ('Comprehensive Python library for astronomy and astrophysics') and 'when' via explicit trigger clauses ('This skill should be used when...', 'Use when tasks involve...').

3 / 3

Trigger Term Quality

Natural domain terms an astronomy user would say ('FITS files', 'coordinates', 'units', 'cosmological calculations', 'tables') are well covered; not a 2 because the term coverage is broad rather than missing common variations.

3 / 3

Distinctiveness Conflict Risk

Astronomy/astrophysics is a clear niche with domain-specific triggers (FITS, WCS, cosmological distances) unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
synthetic-sciences/openscience
Reviewed

Table of Contents

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