scientific-precision-oncology

Annotate cancer variants across CIViC, OncoKB, cBioPortal, COSMIC, and GDC/TCGA.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-precision-oncology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-precision-oncology
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-precision-oncology
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-precision-oncology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clinicians and researchers need a single, coherent view of somatic cancer variants drawn from multiple knowledge bases to guide evidence-based therapy decisions.

Core Features & Use Cases

  • Cross-database variant annotation from CIViC, OncoKB, cBioPortal, COSMIC, and GDC/TCGA for actionable insights.
  • Actionability scoring and evidence filtering to prioritize treatments and clinical trial options.
  • Use Case: rapidly translate tumor genomic profiles into therapy recommendations and MTB-ready reports.

Quick Start

Input a set of tumor variants and run CIViC and OncoKB annotations to produce an MTB report.

Frequently Asked Questions about scientific-precision-oncology

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I annotate somatic cancer variants from multiple knowledge bases for targeted therapy?

Annotate somatic cancer variants by integrating CIViC, OncoKB, cBioPortal, COSMIC, and GDC/TCGA to generate a coherent view of actionable oncology insights. This cross-database variant annotation surfaces evidence-based therapy decisions from standardized tumor genomic inputs.

Can I generate a Molecular Tumor Board report from tumor genomic profiles?

Generate Molecular Tumor Board reports by inputting standardized tumor variants and running CIViC and OncoKB annotations. The process translates tumor genomic profiles into prioritized therapy recommendations and MTB-ready clinical documentation.

What is variant actionability scoring and how does it filter clinical evidence?

Variant actionability scoring assesses somatic cancer variants across tumor types using integrated knowledge bases to prioritize treatments. Evidence filtering applies actionability levels from sources like CIViC and OncoKB to surface relevant clinical trial options.

Does this oncology genomics integration require external API access for cBioPortal and COSMIC?

Cross-database variant annotation from cBioPortal, COSMIC, and GDC/TCGA requires external API access and standardized variant inputs. Robust error handling ensures reproducible research when querying these knowledge bases for actionable oncology insights.

What's the best way to consolidate CIViC and OncoKB evidence levels for targeted therapy decisions?

Consolidate CIViC and OncoKB evidence levels by integrating them alongside cBioPortal, COSMIC, and GDC/TCGA data into a unified annotation. This applies actionability scoring across tumor types to guide evidence-based targeted therapy decisions.

Why does variant annotation fail without standardized inputs in oncology genomics workflows?

Variant annotation fails without standardized inputs because querying external APIs like CIViC, OncoKB, and cBioPortal requires structured data. Robust error handling depends on consistent variant formatting to ensure reproducible oncology research.