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Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "precision-oncology-agent" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills /tmp/OpenClaw-Medical-Skills && cp -r /tmp/OpenClaw-Medical-Skills/skills/precision-oncology-agent ~/.claude/skills/precision-oncology-agentThis skill is a directory: SKILL.md is the entry point; the files below ship with it.
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# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
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# Provenance: Authenticated by MD BABU MIA
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---
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
1. 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.
## Workflow
1. **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.
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->Search arXiv papers by keyword, author, category, or ID.
Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.
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