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 cnemri/google-genai-skills --skill nano-banana-usegit clone --depth 1 https://github.com/cnemri/google-genai-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/cnemri/google-genai-skills/nano-banana-use)<a href="https://agentmods.dev/skills/cnemri/google-genai-skills/nano-banana-use"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/nano-banana-use/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/cnemri/google-genai-skills/nano-banana-use"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/nano-banana-use.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 | $0.00061 | $0.00587 |
| Opus 5 | $0.00030 | $0.00293 |
| Sonnet 5 | $0.00012 | $0.00117 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
nano-banana-use 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.
What it actually says
Nano Banana Use
Use this skill to generate, edit, and compose images using Gemini's Nano Banana models (gemini-2.5-flash-image and gemini-3-pro-image-preview).
This skill uses portable Python scripts managed by uv.
Prerequisites
Ensure you have one of the following authentication methods configured in your environment:
-
API Key:
GOOGLE_API_KEYorGEMINI_API_KEY
-
Vertex AI:
GOOGLE_CLOUD_PROJECTGOOGLE_CLOUD_LOCATIONGOOGLE_GENAI_USE_VERTEXAI=1
Usage
Generate an Image
Step 1: Confirm Parameters Before running the script, confirm the following parameters with the user or state the defaults you will use:
- Prompt: The image description.
- Model: Default is
gemini-3-pro-image-preview. - Aspect Ratio: Default is
1:1. - Safety Filter: Default is
BLOCK_MEDIUM_AND_ABOVE.
Step 2: Run the Script
Run the python script using uv:
uv run skills/nano-banana-use/scripts/generate_image.py "A futuristic banana city" --output city.png
Edit an Image
Modify an existing image based on a text prompt.
uv run skills/nano-banana-use/scripts/edit_image.py original.png "Make the sky purple" --output edited.png
Compose Images
Generate a new image based on multiple input images and a prompt.
uv run skills/nano-banana-use/scripts/compose_image.py --image style.png --image subject.jpg "A painting of the subject in the style of the first image" --output composition.png
Options
prompt: The text description of the image.--model: The model to use. Defaults togemini-3-pro-image-preview.--output: The filename for the saved image. Defaults togenerated_image.png.--aspect-ratio: The aspect ratio of the generated image. Defaults to1:1. Supported:1:1,16:9,4:3,3:4,9:16.--safety-filter-level: Safety filter threshold. Defaults toBLOCK_MEDIUM_AND_ABOVE.
What ships with it
3 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 · 65 lines · 61 tokens per session scan A 72f07ff7dff9
nano-banana-use is a skill published in the GitHub repository cnemri/google-genai-skills (126 stars, last pushed 7mo ago), licensed MIT. It adds 61 tokens to every session and 587 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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