Install
$ agentstack add skill-onescience-ai-oneskills-data-foundation ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
生信数据基础设施范畴路由
当用户任务主要是整理输入数据、解析文件格式、生成样本表、做基础 QC 或准备下游 workflow 输入时,使用本范畴。
具体 skill 路由
- FASTA/FASTQ/GenBank/GFF、序列统计、反向互补、翻译、格式转换:读取
./sequence-io-manipulation/SKILL.md - FASTQ 质量控制、adapter trimming、MultiQC:读取
./read-qc-trimming/SKILL.md - SAM/BAM/CRAM、sort/index/filter、比对后 QC:读取
./alignment-bam-processing/SKILL.md - VCF/BCF/BED/GTF/GFF、interval overlap、坐标系:读取
./variant-interval-files/SKILL.md - GEO/SRA/ENA/公共 FASTQ 和矩阵接入:读取
./public-data-ingestion/SKILL.md - samplesheet、metadata、contrast、batch、数据字典:读取
./samplesheet-metadata-design/SKILL.md - count matrix、feature table、gene ID mapping、metadata join、sparse matrix、AnnData/loom/zarr 交接:读取
./expression-matrix-feature-tables/SKILL.md
交接规则
输出时至少整理:
data_objectformatorganism_or_taxonreference_buildpath_or_accessionvalidation_checksdownstream_workflowexecution_entry
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.