Individual skill
design-study
Use when checking a radiology or medical AI study design before drafting or submission. Reviews the analysis unit, cohort logic, leakage risks, comparator, validation strategy and reporting-guideline fit. AI-vs-expert benchmarks are /design-ai-benchmarking.
skills/design-study/SKILL.md
Source commit cc462bc2069064b557c2fea12a1f83ed1fe67f66
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 376
- Repository last updated
- Nov 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- biostatistics Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- clinical-research Repository topic
- diagnostic-accuracy Repository topic
- literature-review Repository topic
- manuscript Repository topic
- medical-ai Repository topic
- medical-research Repository topic
- meta-analysis Repository topic
- design Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 15,586 bytesreferences/combine_models_ablation_design.mddoc · 4,733 bytesreferences/dag_adjustment.mddoc · 5,193 bytesreferences/multi_model_comparison_design.mddoc · 7,527 bytesreferences/reader_elicitation_design.mddoc · 8,203 bytesreferences/segmentation_failure_characterization_design.mddoc · 6,604 bytesreferences/target_trial_emulation.mddoc · 6,188 bytesreferences/venue_accept_recipe.mddoc · 7,965 bytesscripts/adjustment_set_challenge/fixture/butterfly.jsonasset · 302 bytesscripts/adjustment_set_challenge/fixture/confounder.jsonasset · 111 bytesscripts/adjustment_set_challenge/fixture/instrument.jsonasset · 199 bytesscripts/adjustment_set_challenge/fixture/mbias.jsonasset · 182 bytesscripts/adjustment_set_challenge/fixture/mediator.jsonasset · 106 bytesscripts/adjustment_set_challenge/fixture/proxy.jsonasset · 277 bytesscripts/adjustment_set_challenge/problem.mddoc · 3,220 bytesscripts/adjustment_set_challenge/verify.shruns · 2,970 bytesscripts/adjustment_set_helper.pyruns · 10,296 bytesskill.ymlasset · 1,411 bytes
Read excerpt
# Design-Study Skill
## Core Review Questions
Always inspect:
1. The exact research question.
2. The analysis unit: patient, lesion, exam, study, phase, report.
3. The index date or decision point.
4. How inclusion and exclusion criteria are applied.
5. Any information leakage.
6. The reference standard or endpoint definition.
7. A clinically meaningful comparator.
8. The validation strategy.