Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add glebis/claude-skills --skill nano-bananagit clone --depth 1 https://github.com/glebis/claude-skillsWrote 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/glebis/claude-skills/nano-banana)<a href="https://agentmods.dev/skills/glebis/claude-skills/nano-banana"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/nano-banana/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/glebis/claude-skills/nano-banana"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/nano-banana.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 | $0.00081 | $0.02204 |
| Opus 5 | $0.00041 | $0.01102 |
| Sonnet 5 | $0.00016 | $0.00441 |
| Haiku 4.5 | $0.00008 | $0.00220 |
Grade A, and why
nano-banana 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana - Gemini Image Generation
Generate and edit images from text prompts via Google's Gemini image generation API.
When to Use
- User requests image generation, creation, or production from a text description
- Editing existing images with text instructions
- Style-transfer: generate new images that match the aesthetic of a reference
- Creating illustrations for presentations, articles, thumbnails, social posts
- Batch variations of the same concept
First-Time Setup
scripts/nano_banana.py init
Wizard checks dependencies (sops, age, magick), verifies the API key, and saves defaults to ~/.config/nano-banana/config.yaml.
Quick Start
# Simple generation
scripts/nano_banana.py "a minimalist illustration of a rocket" ./rocket.png
# With style preset
scripts/nano_banana.py --preset editorial "interconnected nodes" ./nodes.png
# YouTube thumbnail (auto-cropped to 1280x720)
scripts/nano_banana.py --preset grain --platform youtube "coffee on desk" ./thumb.png
# Generate 4 variants + contact sheet
scripts/nano_banana.py --preset wireframe "a crystal" ./crystal.png --n 4
# Edit existing image
scripts/nano_banana.py --edit ./old.png "make the background deep teal" ./new.png
# Style reference (match aesthetic of existing image)
scripts/nano_banana.py --reference ./style.png "a new mountain landscape" ./mountain.png
# Re-roll last prompt
scripts/nano_banana.py again
# View history
scripts/nano_banana.py history -n 10
Requirements
GEMINI_API_KEY— auto-decrypted fromsecrets.enc.yamlvia SOPS + age. Fallback:export GEMINI_API_KEY=...sops,age— for key decryptionmagick(ImageMagick) — for platform fit + contact sheetspython3withpyyaml
Models
| Model | Alias | Nano Banana Name | Use When |
|---|---|---|---|
gemini-3.1-flash-image-preview (default) |
flash |
Nano Banana 2 | Best instruction following, fast |
gemini-3-pro-image-preview |
pro |
Nano Banana Pro | Highest quality, text in images |
gemini-2.5-flash-image |
flash-2.5 |
Nano Banana (original) | Legacy |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 206 lines · 81 tokens per session scan A aca8c6b99668
nano-banana is a skill published in the GitHub repository glebis/claude-skills (375 stars, last pushed 10d ago), licensed MIT. It adds 81 tokens to every session and 2,204 once invoked, about $0.0004 per session on Opus 5. 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 2026-09-03.
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