name: review-figures description: Send paper figures to vision-capable models for feedback on clarity, design, and presentation allowed-tools: Read, Bash, Glob, Grep user-invocable: true
Review Figures
Sends each figure from the paper to vision-capable models via EDSL for feedback on clarity, labeling, design quality, and caption adequacy. Results are recorded as eval responses under the "figures" category.
Usage
/review-figures
Prerequisites
- The paper must be registered in katz with images copied to
.katz/versions/<commit>/paper/. (This happens automatically when registering withkatz paper register— sibling image files are copied alongside the manuscript.) edslmust be installed.
Workflow
1. Validate
Run katz paper status to confirm registration. Check that images exist:
ls .katz/versions/$(katz paper status | python3 -c "import sys,json; print(json.load(sys.stdin)['commit'])")/paper/*.png
2. Run the figure review
# All figures, 2 models (Claude Opus + GPT-5.4)
python <katz-skills-path>/review-figures/scripts/edsl_review_figures.py
# Dry run to see what would be sent
python <katz-skills-path>/review-figures/scripts/edsl_review_figures.py --dry-run
# Single model
python <katz-skills-path>/review-figures/scripts/edsl_review_figures.py --models 1
The script:
- Loads all images from the paper directory
- Extracts surrounding caption/notes from the manuscript for context
- Sends each figure + context to vision models
- Records results as eval responses with grades under the "figures" category
3. View results
Results appear in the HTML report under the Evaluations section (category: "figures"), or via:
katz eval results --category figures
4. What the models evaluate
Each figure is assessed on five dimensions:
- Self-explanatory: Can it be understood standalone? Axes labeled? Legend present?
- Takeaway: Is the main message immediately apparent?
- Design quality: Color choices, clutter, data-ink ratio, font sizes
- Caption adequacy: Does the caption explain what's shown and how to read it?
- Suggestions: Specific improvements