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literature-search-europepmc

Search Europe PMC for scientific literature and download open-access full texts and PDFs. Retrieve full-text XML/plain text by PMCID, get citation lists and bibliography.

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 highly actionable with copy-paste-ready commands and clear workflows, and it respects the context budget without over-explaining basics. It could improve by surfacing the unused `citation.bib` reference and adding explicit validation/checkpoints around batch and download operations.

Suggestions

Reference `references/citation.bib` (e.g. in the citations/references subcommands) so the bundle file is discoverable rather than orphaned.

Add explicit validation checkpoints for batch operations — e.g. after `get_citations`/`get_references`, verify `hitCount > 0` and the result array is non-empty before parsing.

Tighten the repeated `uv run scripts/europepmc_api.py search` examples between the search section and Common Workflows to reduce token redundancy.

DimensionReasoningScore

Conciseness

Efficient and assumes Claude's competence — no padding explaining what Europe PMC or a DOI is. There is minor repetition across the per-subcommand examples and Common Workflows that could be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready `uv run` commands with real arguments and flags for every subcommand, plus complete argument tables and output schemas covering the common cases.

5 / 5

Workflow Clarity

Multi-step workflows (DOI→PDF, PMID→full text, citation graph traversal, pagination) are clearly sequenced with shell snippets. Validation is light (only the "check the pdf is not empty or corrupted" note) but the operations are largely non-destructive, so it sits just below the explicit-feedback-loop anchor.

4 / 5

Progressive Disclosure

Well-organized into prerequisites, core rules, per-subcommand sections, and workflows; the referenced `scripts/europepmc_api.py` is a real one-level-deep bundle file. Minor gap: `references/citation.bib` exists but is never referenced from the body.

4 / 5

Total

17

/

20

Passed

Description

75%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 distinct, naming concrete capabilities around Europe PMC literature search and retrieval. Its main weakness is the absence of an explicit "when to use" trigger clause, which caps completeness.

Suggestions

Append an explicit trigger clause, e.g. "Use when searching for or downloading open-access scientific papers, full texts, PDFs, citations, or bibliographies from Europe PMC."

Add common natural synonyms users say ("papers", "articles", "abstracts", ".pdf") to broaden trigger term coverage.

Optionally mention PMID lookup alongside PMCID to cover both identifier types users reference.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Search Europe PMC", "download open-access full texts and PDFs", "Retrieve full-text XML/plain text by PMCID", "get citation lists and bibliography" — giving comprehensive coverage.

5 / 5

Completeness

The description has a clear "what" but no explicit "Use when..." trigger clause, so per the judging guideline completeness is capped at 3.

3 / 5

Trigger Term Quality

Good natural terms ("scientific literature", "full texts", "PDFs", "citation lists", "bibliography"), but misses common synonyms users might say such as "papers", "articles", "abstracts", or the ".pdf" extension.

4 / 5

Distinctiveness Conflict Risk

Targets a distinct niche (Europe PMC, open-access, PMCID-identified articles) with triggers unlikely to overlap with unrelated skills, so conflict risk is minimal.

5 / 5

Total

17

/

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

google-deepmind/science-skills

Path

skills/literature_search_europepmc/SKILL.md

Reviewed

Table of Contents

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