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Biorxiv Database

Listed
drshailesh88·vlatest·database

Access and retrieve relevant biomedical research papers from the drshailesh88-curated BioRxiv database for rapid literature review.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add drshailesh88/integrated_content_os --skill biorxiv-database -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

drshailesh88

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.biorxiv.org, www.biorxiv.org.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.biorxiv.orgundeclaredwww.biorxiv.orgundeclared

    What it found (3 of 4)

    • skills/scientific/biorxiv-database/scripts/biorxiv_search.py:23contacts api.biorxiv.org
      BASE_URL = "https://api.biorxiv.org"
    • skills/scientific/biorxiv-database/scripts/biorxiv_search.py:247contacts www.biorxiv.org
      pdf_url = f"https://www.biorxiv.org/content/{doi}v1.full.pdf"
    • skills/scientific/biorxiv-database/scripts/biorxiv_search.py:295contacts www.biorxiv.org
      result["pdf_url"] = f"https://www.biorxiv.org/content/{result['doi']}v{result['version']}.full.pdf"

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned drshailesh88/integrated_content_os at 9e61937ad2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
9e61937ad2
Manifest
skills/scientific/biorxiv-database/SKILL.md
Scanned
3 files, 1,125 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to the bioRxiv database, a repository of pre-print research papers in biology. It allows users to search and retrieve information from this database, facilitating literature reviews and staying up-to-date with recent scientific findings. The skill can be used to find specific articles or explore broader trends within biological research.

When to use it

  • Literature Review: Quickly identify relevant pre-print papers for a research project.
  • Staying Current: Track new developments in a specific area of biology before they are formally published.
  • Finding Specific Papers: Locate articles by author, keyword, or publication date.
  • Exploring Research Trends: Discover emerging topics and researchers within the bioRxiv database.

Key capabilities

  • Search for papers by keyword
  • Filter results by date range
  • Retrieve paper metadata (author, title, abstract)

Example prompts

  • "Find me all pre-prints about CRISPR gene editing published in the last month."
  • "What are the latest bioRxiv articles on Alzheimer's disease?"
  • “Show me papers by Dr. Emily Carter related to immunology.”

Tips & gotchas

The bioRxiv database contains pre-print submissions, which have not undergone peer review. Always critically evaluate the information obtained from this skill and cross-reference with other sources.