pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

Quality

91%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Advisory

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Quality

Content

100%

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

The content is concise, highly actionable, and well-structured with executable examples and explicit validation checkpoints across the E-utilities workflow.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence — it never explains what PubMed or MeSH is, and every section (field tags, filters, E-utilities code, output discipline) earns its place.	3 / 3
Actionability	Provides executable Python with env-based API keys, concrete field-tag tables, copy-paste query examples, and exact filter syntax — fully copy-paste ready rather than pseudocode.	3 / 3
Workflow Clarity	The E-utilities workflow is an explicit numbered sequence (esearch→esummary→efetch→elink) with a Review Checklist containing validation checkpoints (raise_for_status, rate limits, env keys) and batch guidance via the history server.	3 / 3
Progressive Disclosure	A single well-organized SKILL.md with clearly labeled sections and one-level-deep external reference links; per the simple-skill scoring note, clear organization without bundle files merits a 3.	3 / 3
	Total	12 / 12 Passed

Description

82%

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 specific, distinctive description with strong trigger terms, but it omits an explicit "Use when..." trigger clause, which caps completeness at 2 per the rubric.

Suggestions

Add an explicit trigger clause such as "Use when the user needs biomedical literature from PubMed, MeSH-based queries, PMID lookup, or citation retrieval rather than general web search."

Mirror common user phrasings like "search PubMed", "find abstracts", or "get PMIDs" to broaden trigger-term coverage.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "search workflows", "MeSH queries", "PMID lookup", "citation retrieval", and "API-backed literature monitoring" — matching the multiple-specific-actions anchor rather than the score-2 domain-plus-some-actions level.	3 / 3
Completeness	The "what" is clearly stated, but there is no explicit "Use when..." trigger clause or equivalent; per rubric guidance a missing trigger clause caps completeness at 2.	2 / 3
Trigger Term Quality	Natural terms users would say ("PubMed", "biomedical literature", "MeSH queries", "PMID lookup", "citation retrieval") give good coverage; not score-2 because it goes beyond a single relevant keyword to several common phrasings.	3 / 3
Distinctiveness Conflict Risk	The PubMed/NCBI E-utilities niche is distinct with specific triggers unlikely to overlap with generic web-search or document skills.	3 / 3
	Total	11 / 12 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: affaan-m/ECC
Commit: 754b8dd

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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