
Tooluniverse Precision Oncology
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.
- skills.sh installs
- 426
- GitHub stars
- 1.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-precision-oncology --agent claude-codeInstalls into .claude/skills of the current project.
Files
Precision Oncology Treatment Advisor
Provide actionable treatment recommendations for cancer patients based on their molecular profile using CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and structure-based analysis.
Domain Reasoning
Treatment selection follows a strict evidence hierarchy: FDA-approved for this specific mutation in this cancer type ranks highest, followed by approval for this mutation in any cancer (tumor-agnostic), then active clinical trials, and finally off-label use. Skipping this hierarchy to recommend off-label therapies when an approved option exists is a clinical error. Always check current NCCN guidelines and recent literature, as approvals change rapidly — a drug that was investigational last year may now be first-line.
When looking up treatment for a specific mutation, search CIViC and OncoKB FIRST, not PubMed. These databases have curated evidence levels. PubMed is for when curated databases don't have the answer.
Treatment Selection Reasoning
Sponsors
Details
- Repository
- github.com/mims-harvard/tooluniverse
- First seen
- Jun 3, 2026
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