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Gwas Database

Listed
jackspace·vlatest·database·MIT

Access and query Jackspace's GWAS data repository to identify genetic associations linked to specified traits or conditions.

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 jackspace/claudeskillz --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

jackspace

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 25)

    • skills/scientific-db-gwas-database/SKILL.json:8contacts www.ebi.ac.uk
      "content": "### 1. Understanding GWAS Catalog Data Structure\r\n\r\nThe GWAS Catalog is organized around four core entities:\r\n\r\n- **Studies**: GWAS publica…
    • skills/scientific-db-gwas-database/SKILL.json:8contacts www.ebi.ac.uk
      "content": "### 1. Understanding GWAS Catalog Data Structure\r\n\r\nThe GWAS Catalog is organized around four core entities:\r\n\r\n- **Studies**: GWAS publica…
    • skills/scientific-db-gwas-database/SKILL.json:8contacts www.ebi.ac.uk
      "content": "### 1. Understanding GWAS Catalog Data Structure\r\n\r\nThe GWAS Catalog is organized around four core entities:\r\n\r\n- **Studies**: GWAS publica…

  • 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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/scientific-db-gwas-database/SKILL.md
Scanned
2 files, 582 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 GWAS (Genome-Wide Association Study) database. It allows you to query and retrieve data related to genetic associations with various traits or diseases. You can use this information for research, analysis, or generating insights into the genetic basis of complex phenomena.

When to use it

  • Researching disease risk factors: Identify genes associated with a specific disease to understand potential contributing factors.
  • Exploring trait heritability: Investigate the genetic components underlying observable characteristics like height or intelligence.
  • Analyzing population genetics: Compare GWAS data across different populations to identify unique genetic markers.
  • Generating hypotheses for further study: Use initial findings from GWAS data as a starting point for more targeted experiments.

Key capabilities

  • GWAS database access
  • Querying of genetic associations
  • Data retrieval related to traits and diseases

Example prompts

  • "What genes are associated with Alzheimer's disease?"
  • "Show me the SNPs linked to increased risk of type 2 diabetes."
  • “Retrieve data for GWAS studies on height in European populations.”

Tips & gotchas

The database may contain complex scientific terminology. A basic understanding of genetics and statistical analysis is helpful for interpreting the results effectively.