Agent skill

Genomi Decode

by exon-research in exon-research/genomi

Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to…

Apache-2.0Auto-check passedResearch & Science

Install Genomi Decode

skills CLI
$ npx skills add exon-research/genomi --skill genomi-decode -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install exon-research/genomi genomi-decode --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/decode .claude/skills/genomi-decode && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
genomi-decode
GitHub stars
484
Token cost
~2k tokens
SKILL.md length
863 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
Apache-2.0

At a glance

Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to…

  • Works in 4 steps: If needs_reparse and… → If needs_reparse and the source path is… → If schema_too_new, the user's runtime is… → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Activation, Reconcile Active Genome Index…, Dashboard Build and Verify before claiming success, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Genomi Decode is an agent skill from exon-research/genomi. Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to compose every capability's findings into a single artifact. This is the whole-genome dashboard kicker — it sweeps every relevant Genomi capability in one shot, not a per-target lookup. Composes evidence from every relevant Genomi capability into a single self-contained Genomi Dashboard.html and returns localhost serve…

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: Local-first, open-source Claude Science alternative, before Claude Science is a thing. Turn your AI agent into personal DNA expert. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/genomi decode”
  • “decode my genome”
  • “decode my DNA”
  • “/genomi-decode”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. If needs_reparse and availability.agi_intake_source_path is true, call
  2. If needs_reparse and the source path is gone, ask the user once for
  3. If schema_too_new, the user's runtime is out of date — tell them to
  4. Only after active_genome_index_readiness.status == "complete" call the

What it can do on your machine

Read from SKILL.md and the folder at commit 1df4f5b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Genomi Decode loads about 2k tokens when it runs. Until then it costs about 141 tokens; SKILL.md has 863 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~141
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from exon-research/genomi at commit 1df4f5b, republished under its Apache-2.0 licence (© exon-research). 863 words, ~2,012 tokens.

Download SKILL.mdSave it as .claude/skills/genomi-decode/SKILL.md (or your agent's skills folder).
name
genomi-decode
description
Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to compose every capability's findings into a single artifact. This is the whole-genome dashboard kicker — it sweeps every relevant Genomi capability in one shot, not a per-target lookup. Composes evidence from every relevant Genomi capability into a single self-contained Genomi Dashboard.html and returns localhost serve metadata. Active genome required.
tools
decode.render_dashboard
mutating
true

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.

The renderer normalizes native upstream-op shapes internally:

  • overview — adapts active_genome_index.summarize output; snake_case keys (genome_build, nickname, active_genome_index_completed_at, nearest_reference_groups) are mapped automatically.
  • variants — adapts clinvar.scan_candidates variant inventory rows; clinvar.match_variants JSONL rows ({sample_variant, clinvar}) are also handled. Carrier/condition review groups render under risk, not variants.
  • nutrigenomics — adapts nutrigenomics.retrieve_domain_markers; it extracts gene.symbol, variant.rsid, established_effect.claim (→ recommendation), evidence_tier, and domain label (→ marker).
  • ancestry — adapts ancestry.estimate_population_context.
  • pgx — adapts PharmCAT sample_pgx_matrix and medication-review medication_review_matrix rows into PGx cards without merging separate medication recommendations by gene alone.
  • risk — adapts native prs.calculate_score results and phenotype.plan_risk_investigation carrier/condition review rows into risk/review cards.
  • variants_all — uses the ClinVar matches JSONL path materialized by decode.

Decode also gathers the current carrier/condition and PGx review contracts:

  • For risk, decode runs the declared risk_review_types from the selected Active Genome Index ClinVar matches scope. Omitted risk_review_types means carrier_review plus observed_condition_review; pass an empty array only when the user wants PRS-only risk evidence.
  • For pgx, decode runs pharmacogenomics.review_medication for explicit pgx_review_targets and for drug/gene targets discovered in PharmCAT sample_pgx_matrix rows, up to pgx_review_target_limit. Gene-only sample rows can be preserved as sample evidence, but decode does not invent medication-specific recommendations without a declared drug/source target.

If no PRS scores are installed in the user's library, the builder supplies a typed empty risk state so stale risk evidence is cleared rather than preserved.

Show full SKILL.md (364 more words)Show less

Verify before claiming success

The renderer's response is the source of truth:

  • panels_rendered: panels that landed with real data.
  • panels_empty: panels with no usable evidence — they render as category-specific unavailable states in the UI.
  • evidence_build.panels_running: panels still running in a background job.
  • evidence_build.panel_states: per-panel source status, including PGx background job ids and check operations when applicable.

Read panels_empty and any evidence_build.panel_states before telling the user the dashboard is ready. Surface incomplete categories honestly with their typed state.

Refresh vs. reuse

Call decode.render_dashboard again to refresh the dashboard after installing libraries or changing category selections. Panels without usable evidence render as category-specific unavailable states.

Output location

By default the artifact is written to <tmp>/genomi-dashboards/<sample>/dashboard.html. The user may override output with any absolute filesystem path; the parent directory is created on demand.

Serving the dashboard

decode.render_dashboard returns a serve block:

json
{
  "serve": {
    "status": "started",
    "directory": "...",
    "filename": "dashboard.html",
    "port": 8766,
    "url": "http://127.0.0.1:8766/dashboard.html",
    "command": "python3 -m http.server 8766 --bind 127.0.0.1 --directory ..."
  }
}

Normal runtime calls start a local static dashboard server automatically and choose a free localhost port. Tell the user serve.url. If serve.status is ready_to_start or start_failed, run serve.command as a fallback and then tell the user the adjusted URL.

Boundaries

  • Active Genome Index session approval is required.
  • Decode owns panel evidence collection and shaping for the dashboard artifact.
  • The artifact is a single self-contained HTML file that renders fully offline — React/ReactDOM and the precompiled app JS are inlined, no CDN, no in-browser Babel. (One optional Google Fonts stylesheet is referenced; it falls back to system fonts offline and carries no genome data.) It opens by double-click; the local server is only there so the user can hit a URL.

Tool

decode.build_dashboard_evidence

Support operation used by decode.render_dashboard to inspect panel readiness and gaps. Normal dashboard requests should call decode.render_dashboard.

decode.render_dashboard

Build, shape, and render the Genomi Dashboard HTML artifact from the approved Active Genome Index. Returns { status, dashboard_path, panels_rendered, panels_empty, serve } plus the standard evidence_envelope. The serve block tells the host agent how to expose the dashboard at a localhost URL — see the "Serving the dashboard" section above.

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.

© exon-research, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/decode of exon-research/genomi.

Open the folder on GitHubat commit 1df4f5b

Compare with similar skills

Genomi Decode next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Genomi Decode compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Genomi Decode this skillexon-research/genomi484—~2kAutomated safety check: PassApache-2.0
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Clinvar Databasegoogle-deepmind/science-skills3.2k2 repos~3.9kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k2 repos~3.4kAutomated safety check: NotesApache-2.0

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More from exon-research/genomi

All 20 skills in this repo
  • Genomi

    exon-research/genomi

    A skill your agent uses for genetics, genome source, variant, gene, phenotype, disease, screen, pharmacogenomics, and Genomi install/setup maintenance questions.

    484 GitHub stars~4k tokensUpdated 1 mo ago
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  • Genomi Gnomad

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    Fetch reusable public population allele frequencies from gnomAD for a specific variant.

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  • Genomilab

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    Run or continue patient-authorized, genome-informed GenomiLab investigations in the current Claude, Codex, or other MCP agent task.

    484 GitHub stars~4.2k tokensUpdated 1 mo ago
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  • Analytical Grounding

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    Retrieve canonical pathway members, cell-type marker records, and genomic interval feature overlaps from declared analytical sources.

    484 GitHub stars~1.2k tokensUpdated 1 mo ago
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  • Ancestry

    exon-research/genomi

    Use local ancestry reference-panel tools for 1000 Genomes GRCh37/GRCh38 PCA projection, marker overlap QC, and qualitative reference-neighbor context.

    484 GitHub stars~2.3k tokensUpdated 1 mo ago
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  • Clinvar

    exon-research/genomi

    Build and inspect ClinVar exact-match evidence and candidate inventories.

    484 GitHub stars~1.1k tokensUpdated 1 mo ago
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Questions about Genomi Decode

What does Genomi Decode do?

Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to…. Genomi Decode is an agent skill from exon-research/genomi. Activate this skill for "/genomi decode", "decode my genome", "decode my DNA", "show me the dashboard", "the Genomi dashboard", "one-shot rundown", or any all-at-once request that asks Genomi to compose every capability's findings into a single artifact.

When should I use Genomi Decode?

Genomi Decode fits situations like: tasks that involve Bioinformatics.

How do I install Genomi Decode in Claude Code?

Run `npx skills add exon-research/genomi --skill genomi-decode -a claude-code`. Or copy the skill folder (skills/decode in exon-research/genomi) into .claude/skills/genomi-decode in your project. Claude Code loads it when a task matches its description.

How do I install Genomi Decode in Codex?

Run `npx skills add exon-research/genomi --skill genomi-decode -a codex`. Or copy the skill folder (skills/decode in exon-research/genomi) into .agents/skills/genomi-decode in your project. Codex loads it when a task matches its description.

Can I use Genomi Decode in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add exon-research/genomi --skill genomi-decode -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/genomi-decode, .gemini/skills/genomi-decode, .github/skills/genomi-decode and .opencode/skills/genomi-decode in your project.

What does Genomi Decode need to run?

SKILL.md names no scripts, command-line tools or credentials: Genomi Decode is instructions for the agent only. Our summary lists: Python 3.

Does Genomi Decode access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Genomi Decode safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Genomi Decode use?

Genomi Decode is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Genomi Decode use?

About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Genomi Decode?

Skills that share tags, products or a category with Genomi Decode: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Genomi Decode?

exon-research (a GitHub organization) maintains it in exon-research/genomi, which has 484 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on August 31, 2026.

Source: exon-research/genomi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.