Individual skill
dyz-med-data-adequacy
在统计分析和论文写作前检查医学数据能否支持计划问题、模型和论断,产出数据充分性报告、异常清单、待临床 确认问题及可接受的分析范围。当用户问“这些数据够不够”“能支持什么结论”或准备分析前需要数据把关时使用; 实际建模交给 dyz-med-analyze,已有统计结果的临床解释交给 dyz-med-interpret,不能据此承诺期刊或分区。 Use to assess medical research data adequacy before statistical analysis.
dyz-med-data-adequacy/SKILL.md
Source commit 7e195770241d327715c075fe4d81e33b4748cfff
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 369
- Repository last updated
- Nov 1, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- biostatistics Repository topic
- claude-code Repository topic
- clinical-research Repository topic
- codex Repository topic
- literature-review Repository topic
- manuscript Repository topic
- medical-research Repository topic
- research Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 6,242 bytesagents/openai.yamlasset · 332 bytesexamples/worked-example.mddoc · 3,747 bytesreferences/规范与文献清单.mddoc · 1,210 bytestemplates/data-adequacy-self-check-checklist.mddoc · 2,679 bytes
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