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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.

59

Quality

67%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/literature_search_biorxiv/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 executable commands and a clear decision guide, but repeats its key warning redundantly and lacks an explicit validation checkpoint for its batch API workflow.

Suggestions

Consolidate the repeated narrow-date-range/local-filtering warning into a single prominent section to reduce token redundancy.

Add an explicit validation checkpoint for the batch workflow (e.g., 'verify results.json is non-empty and parses before proceeding').

Either reference references/citation.bib from the body or move the inlined category lists into a separate reference file to tighten progressive disclosure.

DimensionReasoningScore

Conciseness

Mostly efficient but the narrow-date-range/local-filtering warning is repeated ~3 times (Search Strategy Guide anti-pattern, Core Rules 'Local Filtering CRITICAL WARNING', and again), which is padding that could be consolidated.

3 / 5

Actionability

Fully executable copy-paste-ready `uv run scripts/…` commands across four examples, with required and optional arguments explicitly documented; covers the common cases.

5 / 5

Workflow Clarity

Sequence for choosing a search approach is clear, but this is a batch API operation with no explicit validation/verification checkpoint on the output, so workflow clarity is capped at 3 per the batch-operations guideline.

3 / 5

Progressive Disclosure

Clear sections with scripts referenced by real one-level-deep paths; minor gaps are the inlined (long) category lists and references/citation.bib which is never referenced from the body.

4 / 5

Total

15

/

20

Passed

Description

66%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 uses strong natural trigger terms for a well-defined niche, but it omits an explicit 'Use when…' trigger clause (capping completeness at 3) and slightly overclaims 'download' capability that the body later disclaims.

Suggestions

Add an explicit 'Use when…' clause naming concrete user triggers (e.g., 'Use when searching bioRxiv or medRxiv preprints, fetching metadata by DOI, or browsing by date range and category').

Replace or qualify 'download' in the description since the body states the skill does not support PDF downloads.

Add a few natural synonyms/phrasings (e.g., 'preprint server', 'search medRxiv/bioRxiv') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions ('Browse, filter, and download…preprints', 'fetching paper metadata by DOI', 'browsing by date range with category and keyword filters'); minor gap is the 'download' overclaim since the body states PDFs are not supported.

4 / 5

Completeness

Has a clear 'what' but no 'Use when…' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Includes natural domain terms users would say ('bioRxiv', 'medRxiv', 'preprints', 'DOI', 'life sciences, biology, and medical'); good coverage but missing common synonyms or phrasings a user might utter.

4 / 5

Distinctiveness Conflict Risk

A clearly distinct bioRxiv/medRxiv preprint niche with specific triggers; minor overlap risk with the sibling literature-search-europepmc skill referenced in the body.

4 / 5

Total

15

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
google-deepmind/science-skills
Reviewed

Table of Contents

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