How do I install the Precision Oncology Agent skill?

Run npx skillmds@latest add biotender-max/precision-oncology-agent in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Precision Oncology Agent skill do?

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Is Precision Oncology Agent safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Precision Oncology Agent?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Precision Oncology Agent free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Precision Oncology Agent?

BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Precision Oncology Agent by biotender-max

Name: Precision Oncology Agent
Author: BioTender-max

File contents

name: precision-oncology-agent description: Fuse genomic variants, pathology findings, and clinical context to draft evidence-linked therapy options for tumor board review. allowed-tools: - read_file - run_shell_command

At-a-Glance

description (10-20 chars): Tumor board copilot
keywords: oncology, genomics, OncoKB, therapy-ranking, evidence
measurable_outcome: Deliver a ranked therapy list with OncoKB/NCCN citations plus data-gap checklist for every case within 10 minutes of receiving inputs.

Inputs

vcf_path (hg38 preferred) plus optional CNV/fusion summaries.
pathology_report text for histology/grade/biomarkers.
clinical_context dict capturing tumor type, stage, prior lines, ECOG.

Outputs

Ranked treatment options (approved, off-label, clinical trials) with evidence strength + contraindications.
Variant interpretation table (pathogenicity, tier, therapy linkage).
Biomarker summary (TMB, MSI, PD-L1 if provided) and missing-test checklist.

Workflow

Ingest & normalize: Harmonize gene symbols, genome build, and variant effects.
Annotate: Query OncoKB/NCCN + internal knowledge for actionability tiers.
Contextualize: Blend pathology + prior therapy info to filter contraindicated options.
Recommend: Present therapies ordered by evidence + patient fit; cite sources.
Gaps: Highlight assays or confirmations still required before treatment.

Guardrails

No autonomous treatment decisions—flag outputs as advisory.
Cite evidence rigorously (guideline version, publication).
Highlight resistance mechanisms and prior exposure conflicts.

References

See README.md for detailed workflow plus cited Nature Cancer study.

---name: precision-oncology-agentdescription: ---name: precision-oncology-agentdescription: Fuse genomic variants, pathology findings, and clinical context to draft evidence-linked therapy options for tumor board review.allowed-tools: - read_file - run_shell_command---## At-a-Glance- **description (10-20 chars):** Tumor board copilot- **keywords:** oncology, genomics, OncoKB, therapy-ranking, evidence- **measurable_outcome:** Deliver a ranked therapy list with OncoKB/NCCN citations plus data-gap checklist for every case within 10 minutes of receiving inputs.## Inputs- `vcf_path` (hg38 preferred) plus optional CNV/fusion summaries.- `pathology_report` text for histology/grade/biomarkers.- `clinical_context` dict capturing tumor type, stage, prior lines, ECOG.## Outputs1. Ranked treatment options (approved, off-label, clinical trials) with evidence strength + contraindications.2. Variant interpretation table (pathogenicity, tier, therapy linkage).3. Biomarker summary (TMB, MSI, PD-L1 if provided) and missing-test checklist.## Workflow1. **Ingest & normalize:** Harmonize gene symbols, genome build, and variant effects.2. **Annotate:** Query OncoKB/NCCN + internal knowledge for actionability tiers.3. **Contextualize:** Blend pathology + prior therapy info to filter contraindicated options.4. **Recommend:** Present therapies ordered by evidence + patient fit; cite sources.5. **Gaps:** Highlight assays or confirmations still required before treatment.## Guardrails- No autonomous treatment decisions—flag outputs as advisory.- Cite evidence rigorously (guideline version, publication).- Highlight resistance mechanisms and prior exposure conflicts.## References- See `README.md` for detailed workflow plus cited Nature Cancer study.

Frequently asked questions

Precision Oncology Agent