PaperBanana is an open-source tool that generates academic diagrams, statistical plots, and other research illustrations from text descriptions. Researchers can use it through a command-line interface, Python API, local web interface, or MCP server, while the catalogue add-ons support agent-driven use.
Borrowing it
Nothing to install: this file belongs to llmsresearch/paperbanana. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/llmsresearch/paperbanana/main/.claude/skills/evaluate-diagram/SKILL.mdgit clone --depth 1 https://github.com/llmsresearch/paperbananaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/llmsresearch/paperbanana/evaluate-diagram)<a href="https://agentmods.dev/skills/llmsresearch/paperbanana/evaluate-diagram"><img src="https://agentmods.dev/badge/skills/llmsresearch/paperbanana/evaluate-diagram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/llmsresearch/paperbanana/evaluate-diagram"><img src="https://agentmods.dev/badge/skills/llmsresearch/paperbanana/evaluate-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00311 |
| Opus 5.5 | $0.00000 | $0.00124 |
| Sonnet 5.5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
evaluate-diagram scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- evaluate-diagram — 92% identical, 4 lines differ
What it actually says
Evaluate Diagram
Evaluate a generated diagram against a human reference using PaperBanana's VLM-as-Judge scoring.
Instructions
$ARGUMENTS[0]is the path to the generated image.$ARGUMENTS[1]is the path to the human reference image.- Ask the user for:
- Source context: the methodology text (or a file path to read it from). If the user provides a file path, read that file to get the text.
- Figure caption: a description of what the diagram communicates.
- Call the MCP tool
evaluate_diagramwith:generated_path: the generated image pathreference_path: the reference image pathcontext: the methodology text contentcaption: the figure caption
- Present the evaluation scores to the user. Scores cover 4 dimensions: Faithfulness, Conciseness, Readability, and Aesthetics.
CLI Fallback
If the MCP tool is not available, fall back to the CLI:
paperbanana evaluate --generated <generated-img> --reference <reference-img> --context <context-file> --caption "<caption>"
Example
/evaluate-diagram output.png reference.png
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 40 lines · 0 tokens per session scan A 489c16b0f3fe
evaluate-diagram is a skill published in the GitHub repository llmsresearch/paperbanana (2,417 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 311 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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iterate-tech-design
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