About

Imported from aaaaqwq/agi-super-team (skills/pharmgx-reporter/SKILL.md). Install upstream with npx skills add aaaaqwq/agi-super-team --skill pharmgx-reporter. Copyright stays with the author (MIT).

🦖 PharmGx Reporter

Name: clawbio-pharmgx-reporter
Author: aaaaqwq

Generate a pharmacogenomic report from consumer genetic data (23andMe, AncestryDNA).

What it does

Parses raw genetic data files (auto-detects 23andMe or AncestryDNA format)
Extracts 31 pharmacogenomic SNPs across 12 genes
Calls star alleles and determines metabolizer phenotypes
Looks up CPIC drug recommendations for 51 medications
Generates a markdown report with gene profiles, drug tables, and alerts

Genes covered

CYP2C19, CYP2D6, CYP2C9, VKORC1, SLCO1B1, DPYD, TPMT, UGT1A1, CYP3A5, CYP2B6, NUDT15, CYP1A2

Drug classes

Antiplatelet, opioids, statins, anticoagulants, PPIs, antidepressants (TCAs, SSRIs, SNRIs), antipsychotics, NSAIDs, oncology, immunosuppressants, antivirals

Usage

python pharmgx_reporter.py --input patient_data.txt --output report

Disclaimer

This tool is for research and educational purposes only. It is NOT a diagnostic device. Always consult a healthcare professional before making any medication decisions.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/aaaaqwq-agi-super-team-pharmgx-reporter/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

aaaaqwq-agi-super-team-pharmgx-reporter.ocm.jsonjson

{
  "ocm": "1",
  "id": "aaaaqwq-agi-super-team-pharmgx-reporter",
  "kind": "skill",
  "name": "clawbio-pharmgx-reporter",
  "description": "Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA)",
  "publisher": "aaaaqwq",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "pharmacogenomics",
      "cpic",
      "dtc-genetics",
      "precision-medicine",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA)"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/aaaaqwq/agi-super-team",
      "path": "skills/pharmgx-reporter/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/aaaaqwq/agi-super-team/blob/HEAD/skills/pharmgx-reporter/SKILL.md",
      "key": "aaaaqwq/agi-super-team/skills/pharmgx-reporter/SKILL.md"
    },
    "license": "MIT"
  },
  "instructions": "# 🦖 PharmGx Reporter\n\nGenerate a pharmacogenomic report from consumer genetic data (23andMe, AncestryDNA).\n\n## What it does\n\n1. Parses raw genetic data files (auto-detects 23andMe or AncestryDNA format)\n2. Extracts 31 pharmacogenomic SNPs across 12 genes\n3. Calls star alleles and determines metabolizer phenotypes\n4. Looks up CPIC drug recommendations for 51 medications\n5. Generates a markdown report with gene profiles, drug tables, and alerts\n\n## Genes covered\n\nCYP2C19, CYP2D6, CYP2C9, VKORC1, SLCO1B1, DPYD, TPMT, UGT1A1, CYP3A5, CYP2B6, NUDT15, CYP1A2\n\n## Drug classes\n\nAntiplatelet, opioids, ",
  "cost": {
    "context_tokens": 252
  }
}

Fetch it by URL: GET /api/v1/registry/aaaaqwq-agi-super-team-pharmgx-reporter/manifest?version=1.0.0

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