Install
$ agentstack add skill-onescience-ai-oneskills-read-qc-trimming ✓ 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
FASTQ 质控与剪切
推荐流程
- 明确 single-end/paired-end、read length、文库类型、UMI、barcode、平台。
- 做原始 QC:per-base quality、adapter、duplication、GC、overrepresented sequences。
- 执行 trimming/filtering:adapter detection、Q threshold、minimum length、polyG/polyX、UMI handling。
- 做剪切后 QC,并汇总为 MultiQC。
- 输出 trimmed FASTQ、QC HTML/JSON、过滤统计和下游建议。
QC 检查点
- Q30 比例和低质量尾部。
- adapter 是否充分去除。
- paired-end 文件是否同步。
- 过滤后 read 数是否异常下降。
交接物
bio_task_family: read-qc
input_fastq:
library_type:
paired_end:
umi_or_barcode:
trim_strategy:
qc_reports:
downstream_workflow:
execution_entry:
禁止事项
- 不要在不了解 UMI/barcode 结构时随意剪切 read 头部。
- 不要只看剪切后指标,必须保留剪切前后对比。
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.