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.
Plan rare disease, hereditary disease, cancer risk, carrier-relevance, and observed-condition source investigation from public targets or selected active genome evidence.
$ npx skills add exon-research/genomi --skill rare-disease-cancer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install exon-research/genomi rare-disease-cancer --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/rare-disease-cancer .claude/skills/rare-disease-cancer && 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 "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .claude/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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/rare-disease-cancerType 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 rare-disease-cancer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install exon-research/genomi rare-disease-cancer --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/rare-disease-cancer .agents/skills/rare-disease-cancer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .agents/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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 rare-disease-cancer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install exon-research/genomi rare-disease-cancer --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/rare-disease-cancer .cursor/skills/rare-disease-cancer && 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 "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .cursor/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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/rare-disease-cancer--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 rare-disease-cancer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install exon-research/genomi rare-disease-cancer --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/rare-disease-cancer .gemini/skills/rare-disease-cancer && 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 "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .gemini/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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 rare-disease-cancerInstalls 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 rare-disease-cancer -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/rare-disease-cancer .github/skills/rare-disease-cancer && 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 "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .github/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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 rare-disease-cancer -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 rare-disease-cancer --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/rare-disease-cancer .opencode/skills/rare-disease-cancer && 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 "rare-disease-cancer" agent skill from https://github.com/exon-research/genomi/tree/master/skills/rare-disease-cancer into .opencode/skills/rare-disease-cancer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rare-disease-cancer", 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.
rare-disease-cancerPlan rare disease, hereditary disease, cancer risk, carrier-relevance, and observed-condition source investigation from public targets or selected active genome evidence.
Rare Disease Cancer is an agent skill from exon-research/genomi. Plan rare disease, hereditary disease, cancer risk, carrier-relevance, and observed-condition source investigation from public targets or selected active genome evidence.
Its SKILL.md is about 2.7k 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.
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.
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.
Rare Disease Cancer loads about 2.7k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 1,098 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). 1,098 words, ~2,749 tokens.
.claude/skills/rare-disease-cancer/SKILL.md (or your agent's skills folder).Use this skill when the user asks about rare disease, hereditary disease, cancer risk genes, hereditary cancer, GeneCards-style gene context, MalaCards disease context, HPO/phenotype-to-disease review, HPO-style phenotype-to-gene review, carrier-relevance evidence, observed-condition review, or disease-gene source review.
Not for common-trait phenotypes. Common, complex-disease, GWAS-style, or drug-target candidate-gene questions use the matching source-specific tool. Use this skill when the phenotype is explicitly rare/Mendelian, HPO-style, or hereditary cancer.
Support both public-only questions and selected active genome evidence.
carrier_relevance groups and ranks
review targets by evidence strength plus missing interpretation gates.Call phenotype.plan_risk_investigation first. Provide any public targets the user gave:
phenotype.plan_risk_investigation with {"question":"BRCA1 hereditary breast cancer risk","gene":"BRCA1","investigation_type":"cancer_risk"}phenotype.plan_risk_investigation with {"question":"carrier relevance review","investigation_type":"carrier_review"}phenotype.plan_risk_investigation with {"question":"observed ClinVar condition review","investigation_type":"observed_condition_review"}For a selected Active Genome Index, add:
phenotype.plan_risk_investigation with {"question":"rare disease review for GENE2","gene":"GENE2","include_active_genome_index":true}If the user did not select active genome evidence, do not add active genome parameters.
For phenotype-first questions, normalize and rank the public targets:
phenotype.normalize_terms with {"text":"ataxia; microcephaly; seizures; HP:0001250"}phenotype.retrieve_gene_disease_associations with {"genes":["PIEZO2"]}phenotype.compare_disease_evidence with {"phenotypes":["ataxia","microcephaly","seizures"],"candidate_diseases":["condition A","condition B"],"source_records":[{"diseases":["condition A"],"verified_fields":{"diseases":["condition A"],"phenotypes":["ataxia"]},"support_spans":[{"field":"phenotypes","text":"source-backed ataxia text"}]}]}phenotype.compare_disease_evidence with {"hpo_ids":["HP:0000822","HP:0001965"],"genes":["PIEZO2"]}phenotype.compare_gene_hpo_evidence with {"phenotypes":["ataxia","microcephaly"],"genes":["PNKP","SPG7"],"source_records":[{"genes":["PNKP"],"verified_fields":{"genes":["PNKP"],"phenotypes":["ataxia","microcephaly"]},"support_spans":[{"field":"genes","text":"source-backed PNKP text"}]}]}Use phenotype.compare_disease_evidence when the answer choices are diseases or syndromes.
Also use it when the input is HPO terms plus known or candidate genes but the
requested output is a disease name, syndrome name, or OMIM-style diagnosis. In
that shape, gene resolution is not the answer; the load-bearing step is
within-gene disease-family discrimination by the patient's specific HPO pattern.
phenotype.retrieve_gene_disease_associations returns the GenCC primary
gene-disease association set for supplied genes. phenotype.compare_disease_evidence
uses that association set as the gene-derived candidate universe and uses HPO
disease annotations only for phenotype terms.
Use phenotype.compare_gene_hpo_evidence for HPO IDs, patient-specific
phenotypes, rare-disease phenotype matching, or single-subject causal-gene
questions. Keep this phenotype/HPO evidence separate from population-trait,
drug-target, and perturbation evidence.
When HPO IDs are available, pass them so public phenotype-to-gene annotation can
be checked across the full candidate set. Do not pick a gene from partially
reviewed evidence; gather better source support or state that the source
evidence is incomplete.
Use the investigation guidance to decide which source to review next:
For active genome evidence:
variant.gather_gene_context for selected genes.variant.gather_allele_context for selected exact alleles.active_genome_index.classify_genotype_support before personal wording about an observed allele.active_genome_index.classify_region_callability before negative or absence wording.gnomad.fetch_population_frequency when public frequency is missing and would change
interpretation.For phenotype-first ranking, use reviewed records with source-backed fields or support spans. Direct answers require a source to support both the candidate and the relevant phenotype, disease, or HPO context.
Mention Active Genome Index use only when it changes the result, limitation, or next action. Keep risk language qualitative unless a cited source gives a quantitative estimate. Recommend clinical genetics confirmation for medical decisions.
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.
Compare supplied or primary gene-derived diseases against phenotype/HPO evidence without selecting the diagnosis.
Use when: Compares phenotype/HPO terms against supplied diseases, disease source records, or primary gene-disease associations. Uses GenCC primary gene-disease associations as the gene-derived disease candidate universe when gene symbols are supplied.
Why necessary: Candidate diseases must be compared against phenotype/HPO evidence without letting the tool choose a diagnosis.
Result semantics: Returns phenotype/disease evidence rows, disease identifiers, HPO overlap counts, and source coverage; the host agent chooses the answer. The tool uses primary gene-disease retrieval for enumeration and HPO disease annotations for phenotype terms.
Compare candidate genes using phenotype, HPO, and curated rare-disease annotation evidence only.
Use when: Returns phenotype, HPO, OMIM, Orphanet, and rare-disease annotation evidence for candidate genes.
Why necessary: Rare-disease candidate genes need HPO/phenotype evidence, not GWAS, drug-target, or pathway priors.
Not for: common-trait GWAS ranking, drug-target evidence, or medication response.
Example prompts: Which of these genes best matches ataxia and microcephaly?
Result semantics: Returns source-local phenotype/HPO evidence only; the host agent decides whether this prior matches the question.
Normalize phenotype text and HPO IDs into public evidence-review targets.
Use when: Normalizes supplied HPO IDs or free-text phenotypes into public evidence-review targets.
Why necessary: Free-text symptoms need normalization before HPO and rare-disease tools can compare them reliably.
Result semantics: Returns lexical phenotype normalization and safe public targets; it does not diagnose or call external ontology APIs.
Plan rare disease, cancer risk, carrier-relevance, or observed-condition investigation from public targets and optionally selected Active Genome Index evidence.
Use when: Returns rare disease, hereditary disease, hereditary cancer, cancer-risk-gene, carrier-relevance, observed-condition, and disease-gene source-review plans. Can include selected active-genome-index review targets when explicitly supplied or approved.
Why necessary: Broad disease and cancer-risk questions need declared source-review boundaries before any personal-risk wording.
Example prompts: Any inherited disease or cancer-risk findings worth following up?
Result semantics: Returns structured investigation guidance, relevant public source classes, reviewed-research gaps, and optional selected active-genome-index candidate_review_groups. Without include_active_genome_index or explicit matches, the operation stays public-only. GeneCards and MalaCards are treated as context sources that require cross-checking before clinical, carrier, or personal-risk wording.
Retrieve primary gene-disease associations from GenCC for supplied gene symbols.
Use when: Returns GenCC primary gene-disease associations for supplied genes, filtered to declared validity classifications.
Why necessary: Gene-disease validity should come from primary association sources before phenotype matching or diagnosis-like wording.
Result semantics: Returns a primary gene-disease candidate universe for downstream phenotype/HPO comparison. Does not ingest agent-supplied source records and does not diagnose.
© 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/rare-disease-cancer of exon-research/genomi.
Open the folder on GitHubat commit 1df4f5b
Rare Disease Cancer 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 |
|---|---|---|---|---|---|---|
| Rare Disease Cancer this skillexon-research/genomi | 484 | — | ~2.7k | 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
Plan rare disease, hereditary disease, cancer risk, carrier-relevance, and observed-condition source investigation from public targets or selected active genome evidence. Rare Disease Cancer is an agent skill from exon-research/genomi. Plan rare disease, hereditary disease, cancer risk, carrier-relevance, and observed-condition source investigation from public targets or selected active genome evidence.
Rare Disease Cancer fits situations like: tasks that involve Bioinformatics.
Run `npx skills add exon-research/genomi --skill rare-disease-cancer -a claude-code`. Or copy the skill folder (skills/rare-disease-cancer in exon-research/genomi) into .claude/skills/rare-disease-cancer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add exon-research/genomi --skill rare-disease-cancer -a codex`. Or copy the skill folder (skills/rare-disease-cancer in exon-research/genomi) into .agents/skills/rare-disease-cancer 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 rare-disease-cancer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rare-disease-cancer, .gemini/skills/rare-disease-cancer, .github/skills/rare-disease-cancer and .opencode/skills/rare-disease-cancer in your project.
SKILL.md names no scripts, command-line tools or credentials: Rare Disease Cancer is instructions for the agent only.
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.
Rare Disease Cancer 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 2.7k tokens (SKILL.md is roughly 11k 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 Rare Disease Cancer: 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.