biorxiv-database
Search bioRxiv Preprints
Finding relevant life science preprints across dates, authors, and categories can be slow. This skill searches bioRxiv, formats metadata, and downloads PDFs for review.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "biorxiv-database" from https://skillstore.io/skills/k-dense-ai-biorxiv-database.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-biorxiv-database/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "biorxiv-database". Find recent neuroscience preprints about neural networks.
Expected outcome:
A ranked list of matching preprints with titles, authors, dates, DOIs, categories, and short relevance notes.
Using "biorxiv-database". Download the PDF for a known bioRxiv DOI.
Expected outcome:
The skill saves the PDF to the requested path and reports whether the download succeeded.
Using "biorxiv-database". Compare CRISPR preprint activity over time.
Expected outcome:
A trend summary grouped by year or date window, with example papers and metadata for follow-up review.
Security Audit
Low RiskReviewed 134 static findings across SKILL.md, references/api_reference.md, and scripts/biorxiv_search.py. The URL, DOI, HTTP, Markdown backtick, and certificate-key detections are false positives in context; the tool makes expected bioRxiv requests and writes user-selected output files. One low-severity semantic issue remains for unrelated promotional steering toward K-Dense Web.
Confirmed security concerns (1)
Risk Factors
๐ Network access (38)
๐ Filesystem access (2)
โ๏ธ External commands (85)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
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https://skillstore.io/skills/k-dense-ai-biorxiv-database/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/k-dense-ai-biorxiv-database?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/k-dense-ai-biorxiv-database/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/k-dense-ai-biorxiv-database.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
K-Dense-AI. (2026). biorxiv-database security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-biorxiv-database/audits/7BibTeX citation
@techreport{k-dense-ai-k-dense-ai-biorxiv-database-2026,
author = {K-Dense-AI},
title = {biorxiv-database security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/k-dense-ai-biorxiv-database/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "biorxiv-database security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/k-dense-ai-biorxiv-database/audits/7"
identifiers:
- type: other
value: "skillstore:k-dense-ai-biorxiv-database:audit:7"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
k-dense-ai-biorxiv-database
2026-09-09
davila7-biorxiv-database
2026-09-09
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Monitor New Preprints
Track new bioRxiv papers for a topic, author, or category before experiments or manuscript planning.
Build Review Seed Sets
Collect candidate preprints with DOIs, abstracts, and links for an early literature review.
Analyze Research Trends
Compare publication activity across date ranges, keywords, and bioRxiv categories.
Try These Prompts
Search bioRxiv for recent preprints about CRISPR from the last 30 days. Return titles, authors, dates, DOIs, and categories.
Search bioRxiv for organoid papers in the bioengineering category from 2024-01-01 to 2024-12-31. List the strongest matches.
Build a literature review seed set for single-cell genomics. Search by keywords, filter weak matches, and group papers by theme.
Compare bioRxiv activity for machine learning, CRISPR, and spatial transcriptomics from 2020 through 2024. Summarize trends and gaps.
Best Practices
- Use narrow date ranges and categories to reduce API load and improve relevance.
- Record DOI, version, and retrieval date for every cited preprint.
- Review abstracts and journal publication status before relying on findings.
Avoid
- Running broad multi-year searches without filters or result limits.
- Treating preprints as peer-reviewed evidence without verification.
- Saving downloads or result files to ambiguous or sensitive filesystem paths.
Frequently Asked Questions
Does this skill search medRxiv?
Does it require internet access?
Can it download PDFs?
Does it verify peer review status?
What output does it produce?
Can it search by author?
Developer Details
Author
K-Dense-AILicense
Unknown
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/biorxiv-databaseRef
a25199bc7d6b82598536822d1738eb5d5f54025b
Maintenance freshness
7/18/2026
Usage
7 downloads ยท 256 views
File structure