tooluniverse-precision-oncology by mims-harvard/tooluniverse
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-precision-oncology基于患者的分子谱,利用 CIViC、ClinVar、OpenTargets、ClinicalTrials.gov 和基于结构的分析,提供可操作的治疗建议。
核心原则:
| 工具 | 错误用法 | 正确用法 |
|---|---|---|
civic_get_variant | variant_name |
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id (数字) |
civic_get_evidence_item | variant_id | id |
OpenTargets_* | ensemblID | ensemblId (驼峰命名法) |
search_clinical_trials | disease | condition |
输入:癌症类型 + 分子谱(突变、融合、扩增)
阶段 1:谱验证 -> 解析基因 ID (Ensembl, UniProt, ChEMBL)
阶段 2:变异解读 -> CIViC, ClinVar, COSMIC, GDC/TCGA, DepMap, OncoKB, cBioPortal, HPA
阶段 2.5:肿瘤表达 -> CELLxGENE 细胞类型表达,ChIPAtlas 调控背景
阶段 3:治疗方案 -> OpenTargets + DailyMed (已批准), ChEMBL (超适应症)
阶段 3.5:通路与网络 -> KEGG/Reactome 通路,IntAct 相互作用
阶段 4:耐药性分析 -> CIViC + PubMed + NvidiaNIM 结构分析
阶段 5:临床试验 -> ClinicalTrials.gov 搜索 + 资格筛选
阶段 5.5:文献 -> PubMed, BioRxiv/MedRxiv 预印本,OpenAlex 引用
阶段 6:报告综合 -> 执行摘要 + 优先排序的建议
MyGene_query_genes - 解析基因到 Ensembl IDUniProt_search - 获取 UniProt 登录号ChEMBL_search_targets - 获取 ChEMBL 靶点 IDcivic_search_variants / civic_get_variant - CIViC 证据COSMIC_get_mutations_by_gene / COSMIC_search_mutations - 体细胞突变GDC_get_mutation_frequency / GDC_get_ssm_by_gene - TCGA 患者数据GDC_get_gene_expression / GDC_get_cnv_data - 表达和 CNVDepMap_get_gene_dependencies / DepMap_get_drug_response - 靶点必要性OncoKB_annotate_variant / OncoKB_get_gene_info - 可操作性cBioPortal_get_mutations / cBioPortal_get_cancer_studies - 跨研究数据HPA_search_genes_by_query / HPA_get_comparative_expression_by_gene_and_cellline - 表达CELLxGENE_get_expression_data / CELLxGENE_get_cell_metadata - 细胞类型表达OpenTargets_get_associated_drugs_by_target_ensemblId - 已批准药物DailyMed_search_spls - FDA 标签详情ChEMBL_get_drug_mechanisms_of_action_by_chemblId - 药物机制kegg_find_genes / kegg_get_gene_info - KEGG 通路reactome_disease_target_score - Reactome 疾病相关性intact_get_interaction_network - 蛋白质相互作用civic_search_evidence_items - 耐药性证据 (clinical_significance="Resistance")PubMed_search_articles - 耐药性文献NvidiaNIM_alphafold2 / NvidiaNIM_diffdock - 基于结构的分析search_clinical_trials - 查找试验 (参数: condition, 而非 disease)get_clinical_trial_eligibility_criteria - 资格标准详情PubMed_search_articles - 已发表证据BioRxiv_search_preprints / MedRxiv_search_preprints - 预印本(标记为未经同行评审)openalex_search_works - 引用分析每周安装量
158
代码库
GitHub 星标数
1.2K
首次出现
2026年2月7日
安全审计
安装于
gemini-cli150
codex150
opencode150
github-copilot147
amp142
kimi-cli142
Provide actionable treatment recommendations for cancer patients based on their molecular profile using CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and structure-based analysis.
KEY PRINCIPLES :
| Tool | WRONG | CORRECT |
|---|---|---|
civic_get_variant | variant_name | id (numeric) |
civic_get_evidence_item | variant_id | id |
OpenTargets_* | ensemblID | ensemblId (camelCase) |
search_clinical_trials | disease | condition |
Input: Cancer type + Molecular profile (mutations, fusions, amplifications)
Phase 1: Profile Validation -> Resolve gene IDs (Ensembl, UniProt, ChEMBL)
Phase 2: Variant Interpretation -> CIViC, ClinVar, COSMIC, GDC/TCGA, DepMap, OncoKB, cBioPortal, HPA
Phase 2.5: Tumor Expression -> CELLxGENE cell-type expression, ChIPAtlas regulatory context
Phase 3: Treatment Options -> OpenTargets + DailyMed (approved), ChEMBL (off-label)
Phase 3.5: Pathway & Network -> KEGG/Reactome pathways, IntAct interactions
Phase 4: Resistance Analysis -> CIViC + PubMed + NvidiaNIM structure analysis
Phase 5: Clinical Trials -> ClinicalTrials.gov search + eligibility
Phase 5.5: Literature -> PubMed, BioRxiv/MedRxiv preprints, OpenAlex citations
Phase 6: Report Synthesis -> Executive summary + prioritized recommendations
MyGene_query_genes - Resolve gene to Ensembl IDUniProt_search - Get UniProt accessionChEMBL_search_targets - Get ChEMBL target IDcivic_search_variants / civic_get_variant - CIViC evidenceCOSMIC_get_mutations_by_gene / COSMIC_search_mutations - Somatic mutationsGDC_get_mutation_frequency / GDC_get_ssm_by_gene - TCGA patient dataGDC_get_gene_expression / GDC_get_cnv_data - Expression and CNVDepMap_get_gene_dependencies / DepMap_get_drug_response - Target essentialityCELLxGENE_get_expression_data / CELLxGENE_get_cell_metadata - Cell-type expressionOpenTargets_get_associated_drugs_by_target_ensemblId - Approved drugsDailyMed_search_spls - FDA label detailsChEMBL_get_drug_mechanisms_of_action_by_chemblId - Drug mechanismkegg_find_genes / kegg_get_gene_info - KEGG pathwaysreactome_disease_target_score - Reactome disease relevanceintact_get_interaction_network - Protein interactionscivic_search_evidence_items - Resistance evidence (clinical_significance="Resistance")PubMed_search_articles - Resistance literatureNvidiaNIM_alphafold2 / NvidiaNIM_diffdock - Structure-based analysissearch_clinical_trials - Find trials (param: condition, NOT disease)get_clinical_trial_eligibility_criteria - Eligibility detailsPubMed_search_articles - Published evidenceBioRxiv_search_preprints / MedRxiv_search_preprints - Preprints (flag as NOT peer-reviewed)openalex_search_works - Citation analysisWeekly Installs
158
Repository
GitHub Stars
1.2K
First Seen
Feb 7, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykWarn
Installed on
gemini-cli150
codex150
opencode150
github-copilot147
amp142
kimi-cli142
超能力技能使用指南:AI助手技能调用优先级与工作流程详解
46,500 周安装
OncoKB_annotate_variant / OncoKB_get_gene_info - ActionabilitycBioPortal_get_mutations / cBioPortal_get_cancer_studies - Cross-study dataHPA_search_genes_by_query / HPA_get_comparative_expression_by_gene_and_cellline - Expression