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biostudies-arrayexpress-skill

Submit compact BioStudies and ArrayExpress API requests for free-text search and accession-based study retrieval. Use when a user wants concise BioStudies summaries

68

Quality

83%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

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 lean, executable, well-structured single-purpose skill: it gives copy-paste-ready commands, concrete request patterns, and clear output/failure handling with no padding. The only minor weakness is redundancy from repeating the base_url and duplicating an example.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence with no concept padding, but the full base_url is repeated verbatim across three JSON examples and the Execution example duplicates the first Input example, which could be tightened.

4 / 5

Actionability

Provides a fully executable, copy-paste-ready bash command plus three concrete request patterns (search, ArrayExpress/search, accession lookup) covering the common cases with specific paths and params.

5 / 5

Workflow Clarity

This is a single, unambiguous read-only action with clear path/param guidance, explicit output handling, and failure semantics; the simple-skill exception applies and no destructive/batch validation cap is triggered.

5 / 5

Progressive Disclosure

Under 50 lines with well-organized sections and a single correctly-referenced bundle file (scripts/rest_request.py, verified to exist); the explicit 'no additional runtime references' note keeps navigation simple.

5 / 5

Total

19

/

20

Passed

Description

73%Weight 40%Scale 1-5

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 specific and well-targeted to a clear niche, with both a 'what' and a 'when' clause. Its main weakness is the narrow trigger scope, which covers only 'concise BioStudies summaries' and leaves ArrayExpress and accession-based retrieval triggers implicit.

Suggestions

Broaden the 'Use when' clause to name all trigger scenarios, e.g. 'Use when a user wants BioStudies or ArrayExpress summaries, free-text searches, or accession-based study lookups.'

Add common synonyms users might say (e.g. 'EBI', 'study accessions', 'ArrayExpress experiments') to improve trigger-term coverage.

Optionally mention the .txt/.json accession formats or 'EBI BioStudies' phrasing to round out natural keywords.

DimensionReasoningScore

Specificity

Names the domain (BioStudies and ArrayExpress API) and two concrete actions ('free-text search' and 'accession-based study retrieval'), matching the anchor that lists 1-2 concrete actions without comprehensive coverage.

3 / 5

Completeness

Both 'what' (submit compact API requests for search and accession retrieval) and 'when' (Use when a user wants concise BioStudies summaries) are present, but the 'when' clause is narrow and omits ArrayExpress and accession-lookup triggers, so it is not a 5.

4 / 5

Trigger Term Quality

Includes good natural terms a user would say ('BioStudies', 'ArrayExpress', 'summaries', 'search'), but misses common synonyms like 'EBI' or 'study accessions', so it is not quite comprehensive.

4 / 5

Distinctiveness Conflict Risk

Targets a specific EBI database niche (BioStudies/ArrayExpress) with distinct triggers, giving it a clear niche and minimal overlap risk with other skills.

5 / 5

Total

16

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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