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/generate-plot/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/generate-plot)<a href="https://agentmods.dev/skills/llmsresearch/paperbanana/generate-plot"><img src="https://agentmods.dev/badge/skills/llmsresearch/paperbanana/generate-plot/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/generate-plot"><img src="https://agentmods.dev/badge/skills/llmsresearch/paperbanana/generate-plot.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 | $0.00314 |
| Opus 5.5 | $0.00000 | $0.00126 |
| Sonnet 5.5 | $0.00000 | $0.00063 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
generate-plot 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:
- generate-plot — 98% identical, 4 lines differ
What it actually says
Generate Plot
Generate a publication-quality statistical plot from a data file using PaperBanana.
Instructions
- Read the data file at
$ARGUMENTS[0]. - Prepare the data for the MCP tool:
- If the file is CSV: parse it and convert to a column-keyed dictionary (keys = column names, values = arrays of column values), then serialize with
json.dumps()to produce a JSON string. - If the file is JSON: use the raw file content as-is (it is already a JSON string).
- If the file is CSV: parse it and convert to a column-keyed dictionary (keys = column names, values = arrays of column values), then serialize with
- If
$ARGUMENTS[1]is provided, use it as the plot intent. Otherwise, ask the user for a description of the desired plot (e.g., "Bar chart comparing model accuracy across benchmarks"). - Call the MCP tool
generate_plotwith:data_json: the JSON string (not a parsed object)intent: the plot descriptioniterations: 3 (default)
- Present the generated plot to the user.
CLI Fallback
If the MCP tool is not available, fall back to the CLI:
paperbanana plot --data <file> --intent "<intent>"
Example
/generate-plot results.csv "Bar chart comparing model accuracy"
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 · 39 lines · 0 tokens per session scan A cf99f70a6656
generate-plot 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 314 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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