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 sammcj/agentic-coding --skill personal-genomicsgit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/personal-genomics)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/personal-genomics"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/personal-genomics/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/sammcj/agentic-coding/personal-genomics"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/personal-genomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 14 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00056 | $0.01333 |
| Opus 5.5 | $0.00022 | $0.00533 |
| Sonnet 5.5 | $0.00011 | $0.00267 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
personal-genomics 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 1mo 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Genomics
Runs the local personal-genomics toolkit over one or more raw DNA files and reports the findings. All analysis is offline; genetic data never leaves the machine.
First: track the workflow
Create a task for each step below, then work them to completion. The run is multi-step and the reporting step (surfacing findings safely) is the one most often skipped once the analysis file is written.
Locate the toolkit
The scripts and their virtualenv live at ~/git/personal-genomics (a .venv/ with pandas/numpy/scipy/reportlab). Use that venv's Python: ~/git/personal-genomics/.venv/bin/python.
If the repo or venv is missing, set it up before analysing:
cd ~/git/personal-genomics && python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
If the toolkit lives elsewhere, ask the user for the path rather than guessing.
Locate the input files
Ask the user where their DNA file(s) are if not already given. Common location is ~/Downloads/DNA/. Supported inputs:
- Array exports: 23andMe, AncestryDNA, MyHeritage, FTDNA (tab-delimited rsid text)
- Sequencing:
.vcf/.vcf.gz(whole genome or exome)
A .cram.crai on its own is not usable (it is only an index; the alignment data is in the .cram it points to). See Gotchas for what to do when the .cram itself is available.
Choose single-source or combined
One file -> comprehensive_analysis.py:
~/git/personal-genomics/.venv/bin/python ~/git/personal-genomics/comprehensive_analysis.py <file> --out <dir>
Two or more files -> combine_sources.py, which merges them first:
~/git/personal-genomics/.venv/bin/python ~/git/personal-genomics/combine_sources.py <file1> <file2> ... --out <dir>
Always merge when more than one source exists. A variants-only VCF (the usual WGS export) lists only sites where the person differs from the reference, so every homozygous-reference site is absent. The marker analysis treats an absent rsID as "not tested" and skips it, which makes a rich WGS file yield fewer findings than an array on its own. Merging restores the array's reference/normal calls and keeps the WGS's rare variants, producing a strict superset. The combiner resolves contested sites to the sequencing call and writes merge_stats.json recording overlap, agreement, and strand-flip counts.
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.
- 1mo ago First seen · 82 lines · 56 tokens per session scan A 9e952ef450dc
personal-genomics is a skill published in the GitHub repository sammcj/agentic-coding (166 stars, last pushed yesterday), licensed Apache-2.0. It adds 56 tokens to every session and 1,333 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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