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 nicepkg/ai-workflow --skill nano-banana-progit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/nano-banana-pro)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/nano-banana-pro"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/nano-banana-pro.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.00812 |
| Opus 5 | $0.00042 | $0.00406 |
| Sonnet 5 | $0.00017 | $0.00162 |
| Haiku 4.5 | $0.00008 | $0.00081 |
Grade A, and why
nano-banana-pro 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 4d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana Pro Image Generator
Generate images using Google's advanced Nano Banana Pro model (gemini-3-pro-image-preview).
Prerequisites
The user must have GEMINI_API_KEY environment variable set with a valid Google AI API key.
Usage
The script is located in the same directory as this SKILL.md file. Run it with uv run:
uv run /path/to/skills/nano-banana-pro/generate_image.py "your prompt" -o output.png
When this skill is invoked, locate generate_image.py in the skill directory and run it.
Parameters
| Parameter | Required | Description |
|---|---|---|
prompt |
Yes | Text description of the image to generate or transformation to apply |
-o, --output |
Yes | Output filename (you decide the path based on context) |
-i, --image |
No | Input image(s) for editing/transformation or as context/reference (can be used multiple times) |
--aspect-ratio |
No | One of: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 (default: 1:1) |
--size |
No | Image size: 1K, 2K, 4K (default: 1K) |
Examples
Basic image generation:
uv run generate_image.py "A sunset over mountains" -o sunset.png
Infographic with specific aspect ratio:
uv run generate_image.py "Infographic showing the water cycle with labeled stages" -o water_cycle.png --aspect-ratio 9:16
High-resolution ultrawide:
uv run generate_image.py "Professional photo of a modern office space" -o office.png --aspect-ratio 21:9 --size 4K
Edit an existing image:
uv run generate_image.py "Add a sunset sky to this image" -i photo.png -o edited.png
Transform with style:
uv run generate_image.py "Make this look like a watercolor painting" -i input.jpg -o watercolor.png
Combine multiple images:
uv run generate_image.py "Create a collage blending these images together" -i img1.png -i img2.png -o collage.png
Use image as context/reference:
uv run generate_image.py "Generate a new landscape in the same style as this reference" -i reference.png -o new_landscape.png
What ships with it
1 file 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.
- 4d ago First seen · 90 lines · 84 tokens per session scan A a99df82d313a
nano-banana-pro is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 84 tokens to every session and 812 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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