Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zocomputer/skills --skill personal-genomics-analysisgit clone --depth 1 https://github.com/zocomputer/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zocomputer/skills/personal-genomics-analysis)<a href="https://agentmods.dev/skills/zocomputer/skills/personal-genomics-analysis"><img src="https://agentmods.dev/badge/skills/zocomputer/skills/personal-genomics-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zocomputer/skills/personal-genomics-analysis"><img src="https://agentmods.dev/badge/skills/zocomputer/skills/personal-genomics-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.05279 |
| Opus 5 | $0.00016 | $0.02639 |
| Sonnet 5 | $0.00007 | $0.01056 |
| Haiku 4.5 | $0.00003 | $0.00528 |
Grade A, and why
personal-genomics-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 657 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Genomics Analysis Pipeline
How to Use This Prompt
This prompt transforms raw 23andMe genome data into a comprehensive, queryable genomics knowledge base with clinical annotations and personalized health insights.
Prerequisites:
- 23andMe raw genome data file (V3, V4, or V5 format, typically ~600k-900k SNPs)
- The file should be in tab-delimited format with columns: rsid, chromosome, position, genotype
- Approximately 10-15 minutes of processing time
- ~5GB of disk space for databases
What This Pipeline Creates:
- genome.db - Your personal genome database (631k SNPs, ~50MB)
- clinvar.db - Clinical variant database (3.8M variants, 472k pathogenic, ~600MB)
- pharmgkb.db - Pharmacogenomics database (drug-gene interactions)
- Analysis scripts - Reusable Python tools for querying your genome
- Visualizations - Ancestry charts, trait summaries
- Personalized report - Comprehensive markdown document with all findings
What You'll Discover:
- 🧬 Ancestry composition - Estimated genetic ancestry from key markers
- 💊 Pharmacogenomics - How you metabolize common drugs (critical for medical records!)
- 🧠 Cognitive/behavioral traits - COMT, OXTR, BDNF variants
- 💪 Athletic performance - ACTN3, ACE genes
- ❤️ Health risks - Diabetes, cardiovascular, Alzheimer's markers
- 🍽️ Dietary genetics - Lactose tolerance, caffeine metabolism, taste perception
- 👁️ Physical traits - Eye color, earwax type, hair characteristics
- 🚨 Pathogenic variants - Screened against 472k known disease variants
Warning: This analysis is for informational and research purposes only. It is not a substitute for professional genetic counseling or medical advice. Critical findings (especially pharmacogenomics) should be shared with your healthcare provider.
Database Schemas
1. genome.db (Your Personal Genome)
CREATE TABLE snps (
rsid TEXT PRIMARY KEY,
chromosome TEXT NOT NULL,
position INTEGER NOT NULL,
genotype TEXT NOT NULL
);
CREATE INDEX idx_chromosome ON snps(chromosome);
CREATE INDEX idx_position ON snps(position);
CREATE INDEX idx_chrom_pos ON snps(chromosome, position);
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 657 lines · 33 tokens per session scan A 5266347045f5
personal-genomics-analysis is a skill published in the GitHub repository zocomputer/skills (45 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 5,279 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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