genomi-decode

A one-command Genomi workflow that combines relevant findings about a selected genome into one HTML dashboard. Genomi is a toolkit for analysing DNA evidence.

In plain words
What is it for?
Use it for requests such as “decode my genome,” “show me the dashboard,” or a one-shot summary of all relevant Genomi findings. It requires a selected genome and permission to read it.
Why use it?
It avoids gathering separate genetics reports by hand when you want a broad, single overview of a genome.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/exon-research/genomi/decode
Any agent
npx skills add exon-research/genomi --skill decode
Clone the repo
git clone --depth 1 https://github.com/exon-research/genomi

Made for: Claude Code, Codex.

Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,825 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00123 $0.01825
Opus 5 $0.00062 $0.00912
Sonnet 5 $0.00025 $0.00365
Haiku 4.5 $0.00012 $0.00183

Measured yesterday against content hash b03d9e151821, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

skills/decode/SKILL.md · 181 lines

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:

  1. If needs_reparse and availability.agi_intake_source_path is true, call genomi.parse_source({"source": active_genome_index.agi_intake_source_path}) without prompting. Routine maintenance.
  2. If needs_reparse and 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.
  3. If schema_too_new, the user's runtime is out of date — tell them to upgrade Genomi, stop.
  4. 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.

Read the full file on GitHub · 181 lines

Changes

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.

  1. yesterday First seen · 181 lines · 123 tokens per session scan A b03d9e151821

Subscribe to this mod's changes

genomi-decode is a skill published in the GitHub repository exon-research/genomi (481 stars, last pushed 3d ago), licensed Apache-2.0. It adds 123 tokens to every session and 1,825 once invoked, about $0.0006 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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