This is a comprehensive oncology decision support tool that takes a patient's molecular profile (mutations, cancer type, biomarkers) and returns prioritized treatment recommendations with evidence levels. It queries CIViC, ClinVar, OpenTargets, and ClinicalTrials.gov to deliver FDA-approved therapies first, then investigational options, with built-in reasoning about resistance mechanisms when first-line treatments fail. The workflow is structured around real tumor board use cases: you get actionable treatment lists, not data dumps. It knows the difference between EGFR exon 19 deletion in NSCLC (osimertinib) versus T790M-mediated resistance (different TKI), and it won't recommend off-label options when approved ones exist. If you're building clinical decision support or need to automate evidence gathering for precision oncology cases, this handles the lookup hierarchy correctly.
npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-precision-oncology --agent claude-codeInstalls into .claude/skills of the current project.
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