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 ancestrygit 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/ancestry)<a href="https://agentmods.dev/skills/exon-research/genomi/ancestry"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/ancestry/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/ancestry"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/ancestry.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 | $0.00037 | $0.01877 |
| Opus 5.5 | $0.00015 | $0.00751 |
| Sonnet 5.5 | $0.00007 | $0.00375 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
ancestry 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ancestry Reference-Panel Context
Use this skill when the user asks about ancestry, population context, PCA projection, reference-panel similarity, or which public reference samples their genome is closest to.
Contract
- This capability is a local reference-panel workflow, not an ethnicity or race predictor.
- Private tools require current-session Active Genome Index access approval or a genome source path supplied in the current chat.
- Public metadata tools do not read an Active Genome Index.
- Private genotype data stays local. Do not upload sample genotypes to external APIs or URLs.
- The MVP supports GRCh38 and GRCh37. If
genome_buildis omitted, the tool default is GRCh38 unless an approved Active Genome Index provides another build; the returneddefaults_appliedrecords that default. - Labels are 1000 Genomes reference-panel labels, not ethnicity, nationality, race, tribe, caste, religion, or personal identity.
- Output is qualitative reference-panel similarity in PCA space. Do not produce component percentages, admixture proportions, haplogroups, local ancestry, ancestry dates, or relative matching.
Convention: See
skills/conventions/context-routing.md. Convention: Seeskills/conventions/evidence-quality.md. Convention: Seeskills/_output-rules.md.
First Actions
- Use
ancestry.list_reference_panelsto check whether the matching-build 1000 Genomes 30x panel is installed and to inspect source URLs and label definitions. - Use
ancestry.build_source_contextwhen the user asks what the panel means or when you need explicit label and method boundaries before answering. - For sample-specific questions, use
genomi.describe_contextonly when the chat asks about current Active Genome Index context or already mentioned a genome source. If the user supplied a genome source path, that is approval to read it for this session. - Use
ancestry.estimate_population_contextas the default sample-specific entry point. It runs overlap QC and PCA projection when enough markers are usable. - Use
ancestry.check_sample_overlapwhen you only need QC readiness, andancestry.project_pcawhen the host agent needs raw PCA coordinates and nearest reference-neighbor distances.
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 · 184 lines · 37 tokens per session scan A 088cd965341d
ancestry is a skill published in the GitHub repository exon-research/genomi (485 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,877 once invoked, about $0.0001 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 2026-08-30.
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