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biorxiv-database

Search, retrieve metadata, and download PDFs for bioRxiv preprints; use when you need to discover biology preprints by keywords/authors/date ranges and programmatically fetch their details.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./scientific-skills/Evidence Insight/biorxiv-database/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 well-structured with concrete, executable examples and a clean reference layout, but it is weighed down by generic templated boilerplate and a Quick Validation / Output Contract that do not match the actual script. Tightening the boilerplate and correcting the validation contract would lift the weaker dimensions.

Suggestions

Remove or replace the generic boilerplate sections (When Not to Use, Required Inputs, Recommended Workflow, Output Contract, Validation and Safety Rules, Failure Handling) with bioRxiv-specific guidance; they restate what Claude already knows and inflate the context.

Fix the Quick Validation section: `scripts/biorxiv_search.py --help` is not implemented (the script parses raw sys.argv with no argparse), so document the real CLI form `python scripts/biorxiv_search.py <keyword> [days_back]`.

Align the Output Contract with the script's actual behavior — it prints JSON to stdout rather than producing a `biorxiv_database_result.md` file with a validation summary.

DimensionReasoningScore

Conciseness

Core sections (Example Usage, Implementation Details) are efficient, but a large run of generic boilerplate (When Not to Use, Required Inputs, Recommended Workflow, Output Contract, Validation and Safety Rules, Failure Handling) restates guidance Claude already knows and could be tightened, matching the score-3 anchor.

3 / 5

Actionability

Provides copy-paste-ready Python and CLI examples that are mostly executable, but the Quick Validation `--help` command and the `biorxiv_database_result.md` output contract do not match the actual script behavior, leaving minor gaps.

4 / 5

Workflow Clarity

The end-to-end Python example sequences search, metadata print, and PDF download clearly; however the "Recommended Workflow" steps are generic and the validation path is inconsistent with the implementation, so it falls just below a 5.

4 / 5

Progressive Disclosure

Content is well organized into signaled sections with a real one-level-deep reference to `references/api_reference.md` and the `scripts/biorxiv_search.py` entry point, with only minor organization gaps from the inlined boilerplate.

4 / 5

Total

15

/

20

Passed

Description

87%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 third-person, concrete, and clearly answers both what the skill does and when to use it with domain-specific trigger terms. It is a strong, well-targeted description with only minor room for additional action/synonym coverage.

DimensionReasoningScore

Specificity

"Search, retrieve metadata, and download PDFs for bioRxiv preprints" lists several specific concrete actions covering the domain, but stops at three rather than a comprehensive set, matching the score-4 anchor.

4 / 5

Completeness

Explicitly states what it does (search, retrieve metadata, download PDFs) and when to use it ("use when you need to discover biology preprints by keywords/authors/date ranges and programmatically fetch their details"), matching the score-5 anchor.

5 / 5

Trigger Term Quality

Includes natural terms users would say ("bioRxiv preprints", "biology preprints", "PDFs", "keywords/authors/date ranges") with good synonym coverage, though a few variants like ".pdf" are absent.

4 / 5

Distinctiveness Conflict Risk

The bioRxiv/biology-preprint niche is specific with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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