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Gwas Database

Listed
jimmc414·vlatest·database

Access and query a GWAS database to identify genetic associations with traits specified in your request.

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 jimmc414/kosmos --skill gwas-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

jimmc414

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: ftp.ebi.ac.uk, www.ebi.ac.uk.

    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

    www.ebi.ac.ukundeclaredftp.ebi.ac.ukundeclared

    What it found (3 of 4)

    • kosmos-claude-scientific-skills/scientific-skills/gwas-database/SKILL.md:282contacts www.ebi.ac.uk
      response = requests.get("https://www.ebi.ac.uk/gwas/rest/api/studies/GCST001234")
    • kosmos-claude-scientific-skills/scientific-skills/gwas-database/references/api_reference.md:303contacts www.ebi.ac.uk
      response = requests.get("https://www.ebi.ac.uk/gwas/rest/api/studies/GCST001795")
    • kosmos-claude-scientific-skills/scientific-skills/gwas-database/SKILL.md:404contacts ftp.ebi.ac.uk
      wget ftp://ftp.ebi.ac.uk/pub/databases/gwas/summary_statistics/GCSTXXXXXX/harmonised/GCSTXXXXXX-harmonised.tsv.gz

  • 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 jimmc414/kosmos at 6cfe7f690d.

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

Commit
6cfe7f690d
Manifest
kosmos-claude-scientific-skills/scientific-skills/gwas-database/SKILL.md
Scanned
2 files, 1,269 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 a Genome Wide Association Study (GWAS) database. It allows users to query and retrieve data related to genetic variations and their associations with specific traits or diseases. The database contains information on SNPs, p-values, and effect sizes from published GWAS studies.

When to use it

  • Research: Quickly access GWAS data for a specific gene or trait to support scientific investigations.
  • Literature Review: Identify relevant GWAS studies related to a particular disease or phenotype.
  • Data Analysis Preparation: Obtain pre-computed statistical results from published GWAS analyses, reducing the need for manual recalculation.
  • Hypothesis Generation: Explore potential genetic risk factors associated with complex traits.

Key capabilities

  • SNP querying by ID (e.g., rsID)
  • Trait/disease association retrieval
  • P-value and effect size data access
  • GWAS study metadata lookup

Example prompts

  • "What is the p-value for SNP rs9295214 in relation to Alzheimer's disease?"
  • "Find GWAS studies associated with type 2 diabetes."
  • "Give me the effect size for a SNP linked to height."

Tips & gotchas

The database contains data from publicly available sources. Results should be interpreted within the context of the original study methodologies and limitations.