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 exon-research/genomi --skill gnomadgit clone --depth 1 https://github.com/exon-research/genomiWrote 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/exon-research/genomi/gnomad)<a href="https://agentmods.dev/skills/exon-research/genomi/gnomad"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/gnomad/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/exon-research/genomi/gnomad"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/gnomad.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 | $0.00051 | $0.00584 |
| Opus 5 | $0.00026 | $0.00292 |
| Sonnet 5 | $0.00010 | $0.00117 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
genomi-gnomad 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 10d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Population Frequency (gnomAD)
Fetch public gnomAD population allele frequencies for one variant. Results are cached locally in the evidence database so subsequent queries reuse them.
Activation
To call the tool below, invoke it through the MCP dispatcher:
genomi.invoke({
"tool": "gnomad.fetch_population_frequency",
"params": {
"chrom": "19",
"pos": 44908684,
"ref": "T",
"alt": "C",
"genome_build": "GRCh38"
}
})
The dispatcher validates the params against the underlying tool's input
schema and returns the underlying tool's response with an added
dispatched_tool field.
When to use this skill
- "What is the gnomAD frequency of rs429358?"
- "Is this variant rare in gnomAD?"
- "Allele frequency in African populations for rs1042522."
- Any question that needs MAF, AF, population-stratified counts.
Boundaries
- Variant-anchored only — query one allele at a time.
- Public population data only — does not read the user's Active Genome Index.
- Cached after first fetch — subsequent queries for the same variant reuse the local evidence store.
Cross-Capability Synthesis
A scope-limited result from this capability is not a final user-facing answer when other Genomi capabilities can contribute orthogonal evidence to the same question. Returning "cannot answer" while applicable capabilities remain unexamined is a host-agent failure mode.
Tools
gnomad.fetch_population_frequency
Fetch reusable gnomAD public population frequency for one allele and write it into evidence storage.
Use when: The agent needs gnomAD allele frequency, MAF, or population-stratified counts for a specific variant (rsID, chrom/pos/ref/alt, or VCF locus).
Why necessary: gnomAD is the canonical public population frequency source; cached results keep subsequent calls cheap.
Not for: Genome-wide rare-variant screening, ad-hoc curated annotations, anything not anchored to a specific variant.
Example prompts: What's the gnomAD frequency of rs429358? Is rs1042522 rare in East Asian populations?
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.
- 10d ago First seen · 74 lines · 51 tokens per session scan A f1e686d100fa
genomi-gnomad is a skill published in the GitHub repository exon-research/genomi (482 stars, last pushed 9d ago), licensed Apache-2.0. It adds 51 tokens to every session and 584 once invoked, about $0.0003 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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