biorxiv-database

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

Quality

76%

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Securityby

Low

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tessl review fix ./skills/biorxiv-database/SKILL.md

Quality

Content

61%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 extensive executable examples and a clear reference file, but it is somewhat verbose and its batch workflows lack explicit validation checkpoints, capping workflow clarity. Tightening redundant sections and adding verification steps for batch downloads would lift the weaker dimensions.

Suggestions

Consolidate the duplicated command examples between 'Core Search Capabilities' and 'Common Usage Patterns' and trim the full expected test-output block to reduce verbosity.

Add explicit validation checkpoints to batch workflows (e.g., verify `result_count` and confirm each PDF downloaded successfully before proceeding).

Fix the non-executable Python/shell hybrid snippets (Author Tracking and Custom Date Range Logic) so they are valid, copy-paste ready code.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with abundant executable code, but contains padded sections (repeated command patterns across 'Core Search Capabilities' and 'Common Usage Patterns', a full expected test-output block, and explanatory asides like 'Smaller date ranges return faster') that could be tightened.	3 / 5
Actionability	Provides copy-paste ready CLI commands and Python API examples covering common cases, but a few snippets are non-executable (shell/python hybrids at lines 282-289 and 348-358 that mix `python scripts/...` inside Python loops), preventing a top score.	4 / 5
Workflow Clarity	The 'Literature Review Workflow' is sequenced, but batch operations (batch PDF download, multi-author tracking) lack explicit validation checkpoints, so the batch-operation cap applies and holds this at 3.	3 / 5
Progressive Disclosure	Well-organized sections with a clearly signaled one-level-deep reference (`references/api_reference.md`, verified to exist), though a fair amount of content (full output schema, category list) is inlined that could live in the reference file.	4 / 5
	Total	14 / 20 Passed

Description

92%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 clear, specific, and explicitly states both what the skill does and when to use it, with concrete trigger phrases. Minor keyword synonyms/extensions are missing, but overall it strongly matches the highest anchors.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews' — giving comprehensive coverage of the tool's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' ('Efficient database search tool for bioRxiv preprint server') and 'when' ('Use this skill when searching for...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural terms users would say ('bioRxiv preprint', 'life sciences preprints', 'literature reviews', 'PDFs', 'keywords, authors, date ranges'), but misses some synonyms and file extensions like '.pdf' or 'preprint server'.	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (bioRxiv life sciences preprints) with distinct triggers, making conflict with other skills minimal.	5 / 5
	Total	19 / 20 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: OpenLAIR/dr-claw
Path: skills/biorxiv-database/SKILL.md
Commit: 4b35756

Reviewed: 5 days ago

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