Bio R Bioconductor Toolkit
R 与 Bioconductor 生信工具 skill。用于 DESeq2、edgeR、limma、tximport、Seurat、SingleCellExperiment、GenomicRanges、clusterProfiler、ComplexHeatmap、RMarkdown/Quarto 等 R 生信分析设计。
Install
$ agentstack add skill-onescience-ai-oneskills-r-bioconductor-toolkit ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
R / Bioconductor 工具
使用边界
用于 R 生态的统计、生信对象和可视化。若用户明确要 Python 实现，转到对应 Python tool skill。
工具选择
- bulk RNA-seq：DESeq2、edgeR、limma-voom、tximport。
- 单细胞：Seurat、SingleCellExperiment、scDblFinder、SingleR。
- 区间：GenomicRanges、rtracklayer、AnnotationHub。
- 富集：clusterProfiler、fgsea、ReactomePA。
- 可视化：ggplot2、ComplexHeatmap、pheatmap、EnhancedVolcano。
- 报告：RMarkdown、Quarto。
交接物
tool_family: r-bioconductor
packages:
input_object:
design_formula:
contrast_or_grouping:
annotation_source:
expected_outputs:
execution_entry:禁止事项
- DESeq2 输入必须是 raw integer counts。
- Seurat 对象的 assay/layer/slot 要说明清楚。
- 不要在未确认 Bioconductor 版本时依赖新版参数。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: onescience-ai
- Source: onescience-ai/OneSkills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.