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paper-banana SKILL.md skillA

paper-banana from javidmardanov/paper-banana-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add javidmardanov/paper-banana-skill/paper-banana@v1.2.0

Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
javidmardanov/paper-banana-skill
Path
skills/paper-banana/SKILL.md
Versions recorded
3
Latest version
v1.2.0, committed Sep 1, 2026
First version recorded
Feb 12, 2026
Size
16,182 bytes
Repository stars
3
License
MIT

Generates publication-ready academic illustrations using the PaperBanana five-agent pipeline (arXiv:2601.23265). Diagram mode runs 5 VLM/image-model agents (Gemini by default; OpenAI, Anthropic, OpenRouter supported) with multimodal in-context learning from curated reference images, venue style packs, and an improve-existing-figure mode. Plot mode generates executable Python matplotlib/seaborn code sized to the venue's column width. Use when the user asks for: research paper figures, academic…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# PaperBanana: Academic Illustration Pipeline

Automates publication-ready academic illustrations via 5 specialized agents, each a separate call to the configured VLM or image model (Gemini by default):
**Retriever** (categorize & select references) -> **Planner** (multimodal description) -> **Stylist** (polish) -> **Visualizer** (render) -> **Critic** (evaluate & refine).

Two output modes:
- **DIAGRAM MODE**: Each agent is a Python script calling the configured VLM / image model. Run `scripts/orchestrate.py` for end-to-end execution.
- **PLOT MODE**: Statistical plots generated as executable Python matplotlib/seaborn code (code-based to eliminate data hallucination).

**Requirements**: Python 3.10+ with `google-genai>=2`, `matplotlib`, `seaborn`, `numpy`, `pillow`, and an API key for the provider in use (default Gemini: `GOOGLE_API_KEY` or `GEMINI_API_KEY`). Optional: `openai` (for `openai/...` and `openrouter/...` models), `anthropic`, `pypdf` (PDF input).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add javidmardanov/paper-banana-skill/paper-banana@sha256:f273730f4c875457

The line at the top of this page pins the label v1.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pejfj5kkv2j3beh3.svg)](https://markdownregistry.com/a/art_pejfj5kkv2j3beh3)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Feb 12, 2026 and Sep 1, 2026, about one every 101 days.

versioncommittedcommitsizeaudit
v1.2.0 latest2026-09-01 21a182e 16,182 BA view · diff
v1.1.02026-09-01 8dfb28b 12,319 BA view · diff
git:20260212.8835c7d2026-02-12 8835c7d 11,016 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16182 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

javidmardanov/paper-banana-skill · 3 stars · license MIT · pushed 2026-09-06 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_pejfj5kkv2j3beh3
GET https://markdownregistry.com/api/v1/resolve?ref=javidmardanov/paper-banana-skill/paper-banana
GET https://markdownregistry.com/api/v1/blob/f273730f4c8754572c28567ceb865ee10d152c21ce016256735736074568b708

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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