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 decodegit 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/decode)<a href="https://agentmods.dev/skills/exon-research/genomi/decode"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/decode/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/decode"><img src="https://agentmods.dev/badge/skills/exon-research/genomi/decode.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 | $0.00123 | $0.01825 |
| Opus 5.5 | $0.00049 | $0.00730 |
| Sonnet 5.5 | $0.00025 | $0.00365 |
| Haiku 4.5 | $0.00012 | $0.00183 |
Grade A, and why
genomi-decode 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genomi Decode
The /genomi decode kicker tells the agent to assemble every relevant Genomi
capability's evidence about the user's active genome and emit a single
self-contained Genomi Dashboard.html artifact. Activate this skill whenever
the user types /genomi decode, asks for "the dashboard", asks to "decode my
genome", or asks for a one-shot evidence rundown.
Activation
This skill requires an Active Genome Index session and explicit approval to
read it. The same approval gate that protects variant.resolve, clinvar.*,
and the PGx ops protects decode.render_dashboard. If no active genome is
selected the op fails with active_genome_index_required; if approval has not
been granted it fails with active_genome_index_approval_required.
Reconcile Active Genome Index lifecycle before gathering panels
Call genomi.describe_context first. If active_genome_index.active_genome_index_readiness.status
is needs_reparse or schema_too_new, handle the lifecycle before
gathering any panel evidence — do not proceed with a stale Active Genome Index and
silently bound the panels.
The full procedure lives in the Active Genome Index skill under the lifecycle
guidance for needs_reparse and schema_too_new.
Summary for decode:
- If
needs_reparseandavailability.agi_intake_source_pathis true, callgenomi.parse_source({"source": active_genome_index.agi_intake_source_path})without prompting. Routine maintenance. - If
needs_reparseand the source path is gone, ask the user once for the current path and parse that. Don't continue with a stale Active Genome Index. - If
schema_too_new, the user's runtime is out of date — tell them to upgrade Genomi, stop. - Only after
active_genome_index_readiness.status == "complete"call the decode operation.
Dashboard Build
Call decode.render_dashboard. Decode owns panel gathering, panel shaping,
and rendering. The agent may choose dashboard categories through structured
parameters such as panels and select declared score/domain options. Omitted
panels means every dashboard category. The agent does not assemble panel
evidence and does not ask which PGx route to run; decode owns that work.
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 · 181 lines · 123 tokens per session scan A b03d9e151821
genomi-decode is a skill published in the GitHub repository exon-research/genomi (485 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 123 tokens to every session and 1,825 once invoked, about $0.0005 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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