Conciseness

Quotes: the body is almost entirely operational tables ("max 3 req/sec without key, 10 with key", "Crossref... add mailto param for polite pool", env var names, identifier formats) with no explanation of concepts Claude already knows. Minor trimmable instances remain: step 1 "Understand the query -- What is the user looking for? A specific paper by DOI? Papers on a topic?" restates what the selection tables already encode, and the six-platform HTTP fetch tool table is broader than most sessions need. This matches anchor 4 (efficient, minor over-explanation) rather than 5, where every token earns its place; not 3: there is no padded section or unnecessary explanation.

Actionability

Quotes: concrete guidance throughout — "Cross-referencing IDs: Semantic Scholar accepts DOI, PMID, PMCID, and arXiv ID via prefixes (e.g., DOI:10.1038/nature12373)", "Pass as: &api_key=YOUR_KEY" (in references), "If you get HTTP 429 (rate limit), wait briefly and retry once", a copy-ready output template, and reference files verified to contain fully executable example URLs. The gap: the body itself contains zero inline example API calls, deferring all endpoint detail to the reference files, so a simple lookup requires a file read first. This matches anchor 4 (mostly executable, minor gaps) rather than 5 (specific examples cover the common cases inline); not 3: nothing is pseudocode or high-level hand-waving.

Workflow Clarity

Quotes: a numbered "Core Workflow" (understand → select databases → read reference file → make calls → return results) with explicit output requirements ("If a query returned no results, say so explicitly rather than omitting it"), plus a dedicated Error Recovery section with feedback loops: "Check the identifier format... Try alternative identifiers... Try a different database... Report the failure -- tell the user which database failed, the error, and what you tried", and rate-limit retry guidance. This matches anchor 5 (clear sequence with explicit validation and feedback loops for error recovery); not 4: checkpoints are explicit, not implicit.

Progressive Disclosure

Quotes: "Each database has a reference file in references/ with endpoint details, query formats, and example calls. Read the relevant file(s) before making API calls" and an "Available Databases" section with a Reference File column mapping all ten databases to their files (references/pubmed.md, references/arxiv.md, etc.) — all ten verified to exist on disk, one level deep, with spot-check confirming they contain executable endpoint examples. The split is appropriate: orchestration in SKILL.md, endpoint detail in references. Matches anchor 5 (clear overview with well-signaled one-level-deep references, easy navigation); not 4: no inlined content that belongs in a reference file and no navigation gaps.

Specificity

Quotes: "Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles" plus named capabilities "DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search" — multiple specific concrete actions with all ten databases enumerated, matching the comprehensive-coverage anchor. Not 4: the action list is complete for the domain (find, look up, fetch full text, citation graphs, author search) rather than having minor gaps; not below 4 because there is no generic filler at all.

Completeness

Quotes: what — "Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles"; when — "Use when searching for papers... or any scholarly literature query. Triggers on mentions of any supported database or requests like 'find papers on X' or 'look up this DOI'". Both what and when are explicit with concrete trigger phrases, exactly matching the anchor-5 good example. Not 4: the when clause is already fully explicit with example phrasings, not merely adequate.

Trigger Term Quality

Quotes: "papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query" plus natural request phrasings "find papers on X" and "look up this DOI". This covers the natural vocabulary users would say plus synonyms (scholarly literature, preprints) and database names, matching the comprehensive anchor. Not 4: no common variation of the request is missing; not below 4: the terms are natural user phrasing, not jargon.

Distinctiveness Conflict Risk

Quotes: "Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall" and "DOI/PMID lookups" — a clear niche (academic literature search) with highly distinctive triggers (specific database names, DOI/PMID identifiers). Not 4: no closely related skill (general web search, citation formatting) would plausibly be triggered by these database-name and identifier triggers.