Automated baseline characteristics table generation for clinical papers
57
35%
Does it follow best practices?
Impact
99%
3.66xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Data analysis/table-1-generator-advanced/SKILL.mdTwo-group RCT baseline comparison
Script entry point
0%
100%
--data parameter
0%
100%
--output parameter
0%
100%
--group parameter
0%
100%
Requirements installed
0%
75%
t-test for continuous
0%
100%
Chi-square for categorical
0%
100%
Mean±SD format
0%
100%
n(%) format
100%
100%
CSV output file
100%
100%
Without context: $0.3570 · 1m 33s · 20 turns · 25 in / 5,043 out tokens
With context: $0.4547 · 1m 29s · 25 turns · 29 in / 4,236 out tokens
Multi-arm study with variable selection
Script entry point
0%
100%
--group parameter used
0%
100%
--vars flag used
0%
100%
ANOVA for continuous
0%
100%
No t-test for continuous
100%
100%
Chi-square for categorical
0%
100%
Requirements installed
25%
100%
Mean±SD format
0%
100%
n(%) format
100%
100%
CSV output saved
44%
100%
Without context: $0.5248 · 2m 7s · 29 turns · 36 in / 6,898 out tokens
With context: $0.4952 · 1m 36s · 26 turns · 157 in / 4,792 out tokens
Missing data handling and type detection
Script entry point
0%
100%
--data parameter
0%
100%
--output parameter
0%
100%
Requirements installed
0%
100%
Script completes without error
100%
100%
Median[IQR] format in output
0%
100%
Mean±SD format in output
0%
100%
n(%) format for binary columns
100%
100%
CSV output structure
0%
100%
No crash on missing data
100%
100%
Without context: $0.4207 · 2m 21s · 26 turns · 28 in / 6,061 out tokens
With context: $0.3289 · 1m 15s · 20 turns · 228 in / 3,542 out tokens
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Table of Contents
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