SKILL verified MIT Self-run

Bio Clinical Lab Quality

Name: Bio Clinical Lab Quality
Availability: InStock
Author: onescience-ai

skill-onescience-ai-oneskills-clinical-lab-quality · by onescience-ai

生物信息临床、实验室与质量范畴路由。用于实验设计、样本量和功效、临床试验方案、实验仪器数据标准化、LIMS/ELN 交接、QC 报告、可复现报告和科研问题选择等生命科学邻域任务。

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Install

$ agentstack add skill-onescience-ai-oneskills-clinical-lab-quality

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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About

临床、实验室与质量范畴路由

当用户任务不属于模型或传统生信分析，但仍围绕生命科学研究设计、实验室数据、临床研究文档或质量交付时，使用本范畴。

具体 skill 路由

实验设计、样本量、功效、多重检验、批次设计：读取 ./experimental-design-power/SKILL.md
临床试验方案、研究设计、终点、入排标准：读取 ./clinical-trial-protocol/SKILL.md
仪器输出、LIMS/ELN、Allotrope/ASM、数据标准化：读取 ./lab-instrument-standardization/SKILL.md
QC 报告、可复现交付、Jupyter/Quarto/RMarkdown：读取 ./qc-reporting-reproducibility/SKILL.md

交接规则

输出时至少整理：

task_context
study_or_lab_object
required_inputs
standards_or_constraints
deliverable
risk_or_missing_fields
execution_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.