Design clinical trial CRFs with proper validation rules
52
27%
Does it follow best practices?
Impact
97%
1.70xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Evidence insights/ecrf-designer/SKILL.mdScript-based CRF generation
Script invoked
0%
100%
Template argument used
0%
100%
Output argument used
0%
100%
JSON output produced
100%
100%
Standard fields present
0%
100%
ECOG field type correct
100%
100%
ECOG validation range
100%
100%
Diagnosis field type correct
0%
100%
Diagnosis max_length validation
100%
100%
No undefined field types
0%
100%
No external calls
100%
100%
CDISC SDTM compliance and complete CRF documentation
CDISC domain specified
100%
100%
Visit schedule documented
100%
100%
Data dictionary produced
100%
100%
Skip logic documented
100%
100%
Validation rules file
100%
100%
Severity field type
0%
100%
Severity options defined
100%
100%
Date field type
100%
100%
Yes/No field type
0%
100%
ae_crf JSON valid
100%
100%
No undefined field types
0%
100%
No external packages
100%
100%
Custom field types and validation rules
Script used for generation
0%
100%
Efficacy template argument
0%
0%
Systolic BP field type
0%
100%
Systolic BP min/max validation
100%
100%
Heart rate field type
100%
100%
Heart rate min/max validation
100%
100%
Response field type
0%
100%
Response options present
100%
100%
Calculated field type
0%
100%
Formula in calculated field
100%
100%
Data dictionary produced
100%
100%
No undefined field types
0%
100%
JSON output valid
100%
100%
ca9aaa4
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.