Gwas Database
ListedAccess and query Dr. Shailesh's GWAS database for genetic association data related to specified traits or conditions.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add drshailesh88/integrated_content_os --skill gwas-database -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.ukundeclaredWhat it found (3 of 4)
- skills/scientific/gwas-database/SKILL.md:282contacts www.ebi.ac.uk
response = requests.get("https://www.ebi.ac.uk/gwas/rest/api/studies/GCST001234") - skills/scientific/gwas-database/references/api_reference.md:303contacts www.ebi.ac.uk
response = requests.get("https://www.ebi.ac.uk/gwas/rest/api/studies/GCST001795") - skills/scientific/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 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
- Scanned
- 2 files, 1,269 lines
About this skill
What it does
This skill provides access to a GWAS (Genome-Wide Association Study) database. It allows querying and retrieving data related to genetic associations with various traits, enabling analysis of complex diseases and biological pathways. The database contains information on SNPs (Single Nucleotide Polymorphisms), p-values, and associated phenotypes.
When to use it
- Investigating the genetic basis of a specific disease: Use the skill to find SNPs significantly associated with a particular condition.
- Exploring gene-trait relationships: Identify genes or regions in the genome linked to certain traits or characteristics.
- Performing meta-analysis: Combine results from multiple GWAS studies for increased statistical power.
- Understanding population genetics: Analyze allele frequencies and genetic variation across different populations.
Key capabilities
- GWAS data retrieval
- SNP association analysis
- Phenotype search
- Population-specific data access
Example prompts
- "Find SNPs associated with Alzheimer's disease."
- "What is the p-value for SNP rs9294570 in relation to height?"
- "Show me GWAS results for type 2 diabetes in European populations."
Tips & gotchas
The skill requires a basic understanding of genetics and GWAS principles. Results should be interpreted with caution, considering factors like population stratification and confounding variables.