Alphagenome Single Variant Analysis
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
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…
$ npx skills add exon-research/genomi --skill genomi-decode -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install exon-research/genomi genomi-decode --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .claude/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/exon-research/genomi/tree/master/skills/decodeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add exon-research/genomi --skill genomi-decode -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install exon-research/genomi genomi-decode --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/decode .agents/skills/genomi-decode && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .agents/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add exon-research/genomi --skill genomi-decode -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install exon-research/genomi genomi-decode --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/decode .cursor/skills/genomi-decode && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .cursor/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/exon-research/genomi.git --path skills/decode--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add exon-research/genomi --skill genomi-decode -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install exon-research/genomi genomi-decode --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/decode .gemini/skills/genomi-decode && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .gemini/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install exon-research/genomi genomi-decodeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add exon-research/genomi --skill genomi-decode -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/decode .github/skills/genomi-decode && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .github/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add exon-research/genomi --skill genomi-decode -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install exon-research/genomi genomi-decode --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exon-research/genomi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/decode .opencode/skills/genomi-decode && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "genomi-decode" agent skill from https://github.com/exon-research/genomi/tree/master/skills/decode into .opencode/skills/genomi-decode/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "genomi-decode", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
genomi-decodeActivate 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. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1df4f5b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from exon-research/genomi at commit 1df4f5b, republished under its Apache-2.0 licence (© exon-research). 863 words, ~2,012 tokens.
.claude/skills/genomi-decode/SKILL.md (or your agent's skills folder).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.
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.
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:
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.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.schema_too_new, the user's runtime is out of date — tell them to
upgrade Genomi, stop.active_genome_index_readiness.status == "complete" call the
decode operation.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:
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.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.
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.
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.
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.
decode.render_dashboard returns a serve block:
{
"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.
Support operation used by decode.render_dashboard to inspect panel readiness
and gaps. Normal dashboard requests should call 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.
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
Just SKILL.md in skills/decode of exon-research/genomi.
Open the folder on GitHubat commit 1df4f5b
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Genomi Decode this skillexon-research/genomi | 484 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 |
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
A skill your agent uses when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls…
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
exon-research/genomi
A skill your agent uses for genetics, genome source, variant, gene, phenotype, disease, screen, pharmacogenomics, and Genomi install/setup maintenance questions.
exon-research/genomi
Fetch reusable public population allele frequencies from gnomAD for a specific variant.
exon-research/genomi
Run or continue patient-authorized, genome-informed GenomiLab investigations in the current Claude, Codex, or other MCP agent task.
exon-research/genomi
Retrieve canonical pathway members, cell-type marker records, and genomic interval feature overlaps from declared analytical sources.
exon-research/genomi
Use local ancestry reference-panel tools for 1000 Genomes GRCh37/GRCh38 PCA projection, marker overlap QC, and qualitative reference-neighbor context.
exon-research/genomi
Build and inspect ClinVar exact-match evidence and candidate inventories.
Categories
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.
Genomi Decode fits situations like: tasks that involve Bioinformatics.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Genomi Decode is instructions for the agent only. Our summary lists: Python 3.
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.
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.
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.
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.
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.
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.