literature-search-biorxiv

Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Supports fetching paper metadata by DOI, and browsing by date range with category and keyword filters. Keyword filtering is local, so date ranges MUST be narrow (1-4 weeks) with a category to prevent timeouts.

Quality

76%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

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tessl review fix ./skills/literature_search_biorxiv/SKILL.md

Quality

Content

77%Weight 40%Scale 1-3

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 a clear decision-tree workflow and real script references, but it repeats its key warning redundantly and leaves the citation.bib bundle file unreferenced.

Suggestions

Consolidate the three repeated local-filtering / narrow-date-range warnings into a single authoritative callout to save tokens.

Reference references/citation.bib from the body (e.g., in Prerequisites or a References section) so the bundle file is discoverable.

Consider moving the long bioRxiv/medRxiv category enumerations into a references file linked from the body to reduce inline bulk.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean and assumes Claude's competence, but the local-filtering anti-pattern is repeated three times (Search Strategy Guide, CRITICAL ANTI-PATTERN callout, and Core Rules), which could be consolidated.	2 / 3
Actionability	Fully executable, copy-paste-ready 'uv run scripts/...' commands with concrete examples and a complete required/optional argument list.	3 / 3
Workflow Clarity	A clear 'Read First' decision tree sequences the approach by input type, with a retry/backoff feedback loop, strict category validation, and an output-redirection checkpoint for verification.	3 / 3
Progressive Disclosure	The scripts are referenced and exist as real one-level-deep files, but references/citation.bib is a bundle file never signaled or linked from the body, leaving a navigation gap.	2 / 3
	Total	10 / 12 Passed

Description

75%Weight 40%Scale 1-3

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 uses natural trigger terms, but lacks an explicit 'Use when' clause and slightly over-claims 'download' capability relative to what the skill actually supports.

Suggestions

Add an explicit 'Use when...' clause stating when Claude should reach for this skill (e.g., when the user wants bioRxiv/medRxiv preprint metadata or DOI lookups).

Soften or clarify 'download' to avoid implying full-text PDF downloads, which the body says are handled by the europepmc skill.

Reconcile the description's 'download preprints' language with the body's statement that PDF download is not supported.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Browse, filter, and download', 'fetching paper metadata by DOI', and 'browsing by date range with category and keyword filters' — matching the multi-action anchor.	3 / 3
Completeness	The 'what' is clear but there is no explicit 'Use when...' trigger clause, which per the guidelines caps completeness at 2 rather than 3.	2 / 3
Trigger Term Quality	Natural user-facing terms 'bioRxiv', 'medRxiv', 'preprints', and 'life sciences, biology, and medical' are exactly what a user would say when needing this skill.	3 / 3
Distinctiveness Conflict Risk	The bioRxiv/medRxiv niche is distinct, but the 'download ... preprints' framing risks triggering this skill for PDF-download requests that the body states it does not support, overlapping with the europepmc skill.	2 / 3
	Total	10 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: google-deepmind/science-skills
Path: skills/literature_search_biorxiv/SKILL.md
Commit: 0b42509

Reviewed: 7 days ago

Table of Contents

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