Borrowing it
Nothing to install: this file belongs to mikeOnBreeze/cc-crossbeam. 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/mikeOnBreeze/cc-crossbeam/main/.claude/skills/nano-banana/SKILL.mdgit clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeamWrote 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/mikeonbreeze/cc-crossbeam/nano-banana)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/nano-banana"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/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/mikeonbreeze/cc-crossbeam/nano-banana"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/nano-banana.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.00940 |
| Opus 5 | $0.00029 | $0.00470 |
| Sonnet 5 | $0.00012 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
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 12d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana
Image generation and editing skill powered by Google Gemini's Nano Banana models.
Prerequisites
This skill requires a GEMINI_API_KEY in the project's .env or .env.local file:
GEMINI_API_KEY=your_api_key_here
To obtain an API key, visit: https://aistudio.google.com/apikey
Capabilities
1. Text-to-Image Generation
Generate images from text descriptions using scripts/generate_image.py:
python scripts/generate_image.py "a serene Japanese garden with cherry blossoms" \
--aspect-ratio 16:9
Parameters:
prompt(required): Text description of the image to generate--output: Output directory or file path (default: current directory)--filename: Custom filename (default: auto-generated with timestamp)--aspect-ratio: Image aspect ratio (default: 1:1)--model: Model to use (default: gemini-3-pro-image-preview)
2. Image Editing
Edit existing images with text prompts using scripts/edit_image.py:
python scripts/edit_image.py "remove the background and make it transparent" \
--images photo.png
python scripts/edit_image.py "change the sky to sunset colors" \
--images landscape.jpg \
--output edited_landscape.png
Multiple Image Support (for consistency/reference):
python scripts/edit_image.py "create a collage combining these images" \
--images img1.png img2.png img3.png \
--aspect-ratio 16:9
Parameters:
prompt(required): Text description of the edit--images(required): One or more input image paths--output: Output directory or file path (default: current directory)--filename: Custom filename (default: auto-generated)--aspect-ratio: Output aspect ratio (optional)--model: Model to use
Supported Parameters
Aspect Ratios
1:1 | 2:3 | 3:2 | 3:4 | 4:3 | 4:5 | 5:4 | 9:16 | 16:9 | 21:9
Models
gemini-3-pro-image-preview(default) - Nano Banana Pro: Higher quality, advanced reasoning, supports up to 14 reference imagesgemini-2.5-flash-image- Nano Banana: Faster generation, lower cost, good for quick iterations
What ships with it
4 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.
- 12d ago First seen · 118 lines · 58 tokens per session scan A d1a71647ccdc
nano-banana is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 940 once invoked, about $0.0003 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 2026-08-30.
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