Precision Oncology (ToolUniverse Claude Skill)

A ToolUniverse agent skill that turns a tumor molecular profile (mutations, fusions, biomarkers) into actionable treatment recommendations by integrating variant-interpretation databases, drug-target evidence, resistance mechanisms, and matching clinical trials.

   
Type Claude Skill (one of ToolUniverse’s pre-built agent skills)
Supplier Zitnik Lab, Harvard Medical School
Availability GA — part of the ToolUniverse skills collection (skills/tooluniverse-precision-oncology/)
Pricing Free / OSS (Apache-2.0); database calls go through the ToolUniverse MCP server
Capabilities Read-only — drives ToolUniverse tool calls; no data writes
Verified works · 2026-07-20
Security cleared · 2026-07-20 — provenance matches Zitnik Lab, Apache-2.0, skill dir confirmed, no OSV advisories

How to install

This skill calls ToolUniverse tools, so the ToolUniverse MCP server must be installed first (see the ToolUniverse page). Simplest registration:

claude mcp add --transport stdio tooluniverse -- uvx tooluniverse

Then add the skills:

  • Claude Code — install the whole skill collection (the skill resolves as tooluniverse-precision-oncology): 
    npx skills add mims-harvard/ToolUniverse
  • Manual / other agents — copy just this skill directory into your skills folder: 
    git clone https://github.com/mims-harvard/ToolUniverse
cp -r ToolUniverse/skills/tooluniverse-precision-oncology ~/.claude/skills/

The skill sets disable-model-invocation: true upstream, so invoke it explicitly (e.g. ask Claude to “use the precision-oncology skill”) rather than relying on automatic dispatch.

What it does

Runs a six-phase analysis over a supplied molecular profile:

  • Profile validation — MyGene_query_genes, UniProt_search, ChEMBL_search_targets resolve gene/protein/target identifiers.
  • Variant interpretation — civic_search_variants / civic_get_variant, COSMIC_get_mutations_by_gene, GDC_get_mutation_frequency / _get_gene_expression / _get_survival, OncoKB_annotate_variant, cBioPortal_get_mutations, HPA_search_genes_by_query.
  • Treatment options — OpenTargets_get_associated_drugs_by_target_ensemblID, DGIdb_get_drug_gene_interactions, DailyMed_search_spls, ChEMBL_get_drug_mechanisms, mapped to FDA-approved therapies under a strict evidence hierarchy.
  • Resistance analysis — civic_search_evidence_items, PubMed_search_articles, alphafold_get_prediction.
  • Clinical trials & safety — search_clinical_trials, get_clinical_trial_eligibility_criteria, FAERS_search_adverse_event_reports, FDA_get_warnings_and_cautions_by_drug_name, CPIC_list_guidelines.
  • Literature — PubMed_search_articles, openalex_search_works.

Primary use cases: molecular-tumor-board support, biomarker-to-therapy matching, resistance-mechanism review, trial eligibility screening.

Notes

It is a reasoning layer over ToolUniverse; without the MCP server registered, the tool calls fail. The skill operates on a user-supplied molecular profile rather than ingesting raw sequencing data, and several of its data sources (OncoKB, COSMIC) may themselves require user accounts/licenses for full access. Outputs are decision-support reasoning, not clinical advice. ToolUniverse ships ~68 such skills; the research, repurposing, target-validation, synergy, and drug-drug-interaction workflows are catalogued separately.

Sources

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