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ncbi-pmc-skill

Submit compact NCBI PMC Open Access requests for article/file availability metadata. Use when a user wants concise PMC Open Access summaries; save raw XML only on request.

73

Quality

92%

Does it follow best practices?

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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 an exemplary short operational skill: exact invocation examples, a documented input/output contract, and clean section structure with a correctly scoped bundle. The only flaw is a small redundancy in the raw-XML handling rules.

DimensionReasoningScore

Conciseness

The body is lean and purely operational with no explanation of concepts Claude already knows, but 'Execution behavior' states the raw-XML rule twice ('Return raw XML only if the user explicitly asks' and 'If the user needs the full raw response, set save_raw=true'), so it falls at the 'efficient; minor instances that could be trimmed' anchor rather than a perfect 5.

4 / 5

Actionability

Guidance is fully executable: a copy-paste-ready bash invocation ('echo ... | python scripts/ncbi_pmc.py'), two concrete JSON input examples covering PMCID and DOI lookups, a complete optional-field list, and an explicit output schema including error format — covering the common cases.

5 / 5

Workflow Clarity

This is a simple single-task skill under 50 lines whose single action (run the script with a JSON stdin payload) is unambiguous, and the failure output format (ok=false with error.code/error.message) is documented; no destructive or batch validation cap applies.

5 / 5

Progressive Disclosure

The skill is under 50 lines with no need for external references, and the body both organizes content into clear sections (Operating rules, Input, Output, Execution) and explicitly bounds the package to itself plus the one real, one-level-deep bundle file scripts/ncbi_pmc.py, which was verified to exist.

5 / 5

Total

19

/

20

Passed

Description

87%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.

A strong description: it states concrete capabilities in third person, includes an explicit 'Use when' trigger clause with specific user intent, and cleanly bounds its scope. Only minor improvements possible in keyword synonyms.

DimensionReasoningScore

Specificity

The description names several concrete actions — 'Submit compact NCBI PMC Open Access requests for article/file availability metadata', 'concise PMC Open Access summaries', 'save raw XML only on request' — but leaves minor gaps (no error outcomes or broader lookup types), matching the 'several specific actions; minor gaps' anchor rather than the comprehensive anchor 5.

4 / 5

Completeness

It explicitly answers 'what' ('Submit compact NCBI PMC Open Access requests for article/file availability metadata') and 'when' ('Use when a user wants concise PMC Open Access summaries; save raw XML only on request') with concrete trigger phrases, matching anchor 5; the when-clause is specific and explicit, ruling out the weaker anchors 4 and 3.

5 / 5

Trigger Term Quality

Natural keywords like 'NCBI', 'PMC', 'Open Access', 'raw XML', and 'summaries' are present, but common synonyms such as 'PubMed Central' and 'full text' are missing, fitting the 'good keyword coverage; a few natural terms missing' anchor.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (the NCBI PMC Open Access service specifically) with distinct trigger terms, so conflict risk with other skills is minimal.

5 / 5

Total

18

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

openai/plugins

Path

plugins/life-science-research/skills/ncbi-pmc-skill/SKILL.md

Reviewed

Table of Contents

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