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 agentmods add skills/emdashcodes/claude-code-plugins/nano-banana-image-editornpx skills add emdashcodes/claude-code-plugins --skill nano-banana-image-editorgit clone --depth 1 https://github.com/emdashcodes/claude-code-pluginsWrote 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/emdashcodes/claude-code-plugins/nano-banana-image-editor)<a href="https://agentmods.dev/skills/emdashcodes/claude-code-plugins/nano-banana-image-editor"><img src="https://agentmods.dev/badge/skills/emdashcodes/claude-code-plugins/nano-banana-image-editor.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 | $0.00091 | $0.04551 |
| Opus 5 | $0.00046 | $0.02276 |
| Sonnet 5 | $0.00018 | $0.00910 |
| Haiku 4.5 | $0.00009 | $0.00455 |
Grade A, and why
nano-banana-image-editor 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 — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Editor
This skill enables AI-powered image editing and creation using Google's Gemini 3 Pro Image model (nicknamed "Nano Banana Pro"). It allows editing existing images or creating new images from scratch through natural language instructions.
When to Use This Skill
Use this skill when users request:
- Generate icons, images, and illustrations
- Removing text, logos, or watermarks from images
- Removing speaker overlays or video conference windows from slides
- Changing backgrounds, objects, or colors
- Cropping, resizing, or adjusting image composition
- Adding or modifying visual elements
- Style transfers or artistic transformations
- Any image manipulation describable in natural language
Prerequisites
If needed, run the following script to install dependencies:
${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/scripts/install_dependencies.sh
This creates a Python virtual environment and installs the required packages (google-genai, Pillow).
Virtual environment location:
- Default:
${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/.venv/ - Override: Set
NANO_BANANA_VENVenv var for multi-platform support (e.g., Docker containers)
API Key Setup:
-
Get an API key from Google AI Studio
-
Run the setup script to save the key to the plugin config:
${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/.venv/bin/${NANO_BANANA_VENV:-${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/.venv}/bin/python3 ${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/scripts/setup-gemini-token.py YOUR_API_KEYThe script will:
- Test the API key to verify it works
- Save it to
.nano-banana-config.jsonin the plugin directory - Confirm that Gemini 3 Pro Image model is available
All script examples below use ${NANO_BANANA_VENV:-${CLAUDE_PLUGIN_ROOT}/skills/nano-banana-image-editor/.venv}/bin/python3 to ensure the venv's Python interpreter is used.
What ships with it
8 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.
- references/best_practices.md 9.5 KB
- references/prompting_guide.md 9.3 KB
- scripts/create_image.py 2.3 KB runs code
- scripts/edit_image.py 2.5 KB runs code
- scripts/gemini_image.py 7.1 KB runs code
- scripts/install_dependencies.sh 1.7 KB runs code
- scripts/quick_crop.py 3.0 KB runs code
- scripts/setup-gemini-token.py 3.7 KB runs code
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 · 440 lines · 91 tokens per session scan A 9c00cae7447b
nano-banana-image-editor is a skill published in the GitHub repository emdashcodes/claude-code-plugins (13 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 4,551 once invoked, about $0.0005 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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