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review-figures
Send paper figures to vision-capable models for feedback on clarity, design, and presentation
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Send paper figures to vision-capable models for feedback on clarity, design, and presentation
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Read the paper and decide which issue spotters to use, removing irrelevant ones and optionally adding custom ones
Run EDSL-parallelized issue finding across all sections of a katz-registered manuscript
Bootstrap a full paper review using katz
Review open katz issues, investigate them against the manuscript and code, and record findings
Read the paper and file issues for problems found in the manuscript
Review the paper's repository — code, data, and analysis scripts — against manuscript claims
| 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 |
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.
/review-figures
.katz/versions/<commit>/paper/.
(This happens automatically when registering with katz paper register — sibling image files
are copied alongside the manuscript.)edsl must be installed.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
# 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:
Results appear in the HTML report under the Evaluations section (category: "figures"), or via:
katz eval results --category figures
Each figure is assessed on five dimensions: