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upset-plot-converter

Convert complex Venn diagrams with more than 4 sets to clearer Upset plots

Install with Tessl CLI

npx tessl i github:aipoch/medical-research-skills --skill upset-plot-converter
What are skills?

65

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

76%

38%

Multi-Disease Biomarker Overlap Analysis

Dict-based multi-set upset plot

Criteria
Without context
With context

Correct import path

0%

0%

Uses convert_venn_to_upset

0%

100%

Dict input format

0%

100%

More than 4 sets

50%

100%

PNG output path

50%

100%

Title provided

50%

100%

Requirements installed

0%

0%

Output file produced

100%

100%

Does not use Venn library

100%

100%

Script self-contained

50%

50%

Without context: $1.1601 · 4m 34s · 49 turns · 55 in / 14,295 out tokens

With context: $0.3344 · 1m 12s · 20 turns · 228 in / 3,656 out tokens

83%

65%

Pathway Enrichment Overlap Across Experimental Conditions

List-based upset plot with subset filtering

Criteria
Without context
With context

Correct import path

0%

0%

Uses upset_from_lists

0%

100%

Parallel list arguments

0%

100%

More than 4 sets

0%

100%

min_subset_size used

0%

100%

PNG output path

0%

100%

Title provided

0%

100%

Requirements installed

0%

37%

Output file produced

100%

100%

Does not use Venn library

100%

100%

Without context: $1.4398 · 4m 37s · 47 turns · 54 in / 15,429 out tokens

With context: $0.6027 · 1m 56s · 32 turns · 68 in / 5,917 out tokens

97%

63%

Drug Target Co-occurrence Analysis Across Therapeutic Areas

Intersection statistics and max_intersections cap

Criteria
Without context
With context

Correct import path

0%

100%

Uses print_intersection_stats

0%

100%

Stats output file present

83%

100%

Uses convert_venn_to_upset

0%

100%

max_intersections used

0%

100%

More than 4 sets

100%

100%

PNG output path

0%

100%

Requirements installed

0%

50%

Output PNG produced

100%

100%

Does not use Venn library

100%

100%

Without context: $0.7738 · 3m 5s · 34 turns · 39 in / 9,653 out tokens

With context: $0.5614 · 2m 12s · 27 turns · 150 in / 7,215 out tokens

Evaluated
Agent
Claude Code

Table of Contents

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