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Personal Genomics

Listed
wkyleg·v4.4.0·security·MIT

Local DNA analysis with 1600+ markers across 30 categories. Privacy-first genetic analysis including population comparison and ancient DNA signal detection. All analysis runs locally.

Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install personal-genomics

What we know about this skill

Publisher

wkyleg

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

Install target

Pinned to 9ea4c8c7

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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 2 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.

  • Declares what it does: failed

    SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.

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

  • No undeclared network calls: failed

    Contacts 7 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: isogg.org, pubmed.ncbi.nlm.nih.gov, reich.hms.harvard.edu, warfarindosing.org, www.acmg.net….

    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

    reich.hms.harvard.eduundeclaredwww.nsgc.orgundeclaredwww.acmg.netundeclaredpubmed.ncbi.nlm.nih.govundeclaredwww.phylotree.orgundeclaredisogg.orgundeclaredwarfarindosing.orgundeclared

    What it found (3 of 10)

    • ancient_comparison.py:10contacts reich.hms.harvard.edu
      https://reich.hms.harvard.edu/allen-ancient-dna-resource-aadr-downloadable-genotypes-present-day-and-ancient-dna-data
    • ancient_comparison.py:200contacts reich.hms.harvard.edu
      lines.append("    https://reich.hms.harvard.edu/allen-ancient-dna-resource")
    • markers/advanced_genetics.py:231contacts www.nsgc.org
      "url": "https://www.nsgc.org/",

  • 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 wkyleg/personal-genomics at 9ea4c8c73b.

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

Commit
9ea4c8c73b
Manifest
SKILL.md
Scanned
60 files, 32,776 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 performs privacy-first local DNA analysis using 1600+ validated genetic markers across 30 categories. It provides insights into pharmacogenomics, disease risk, carrier status, ancestry, and hereditary cancer, utilizing nine major genomics reference databases integrated for validated analysis. The analysis runs locally without network requests, ensuring data privacy.

When to use it

  • Personalized Medicine: Determine potential drug responses based on genetic variations before starting a new medication.
  • Ancestry Exploration: Discover ethnic origins and trace ancestral lineages using haplogroup and admixture analysis.
  • Health Risk Assessment: Identify predispositions to conditions like hereditary cancer or autoimmune diseases, allowing for proactive health management.
  • Carrier Screening: Assess carrier status for recessive genetic disorders, particularly important when planning a family.

Key capabilities

  • 1600+ validated genetic markers across 30 categories
  • Polygenic Risk Scores (PRS) for 10+ major conditions
  • Pharmacogenomics with CPIC Level 1A drug-gene interactions
  • Medication Interaction Checker
  • Carrier screening for 35+ recessive diseases
  • VCF support for whole genome/exome sequencing
  • Agent-friendly JSON output
  • Local, zero-network analysis
  • Haplogroup Analysis (mtDNA and Y-chromosome)
  • Ancestry Composition analysis

Example prompts

  • "Analyze my DNA data and identify potential medication interactions."
  • "What is my ancestry composition based on my genetic markers?"
  • "Assess my risk for hereditary cancer, focusing on BRCA1/2 variants."
  • "Perform carrier screening for recessive diseases and provide a prioritized list of actionable items."

Tips & gotchas

The skill requires whole genome or exome sequencing data in VCF format. While it offers universal ethnic coverage, the accuracy of ancestry estimates may vary depending on the availability of reference population data.

Requirements

Required binaries

python3

Tags

genomicsdnageneticshealthanalysisprivacylocal