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 yonggao/claude-plugins --skill gemini-image-generatorgit clone --depth 1 https://github.com/yonggao/claude-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/yonggao/claude-plugins/gemini-image-generator)<a href="https://agentmods.dev/skills/yonggao/claude-plugins/gemini-image-generator"><img src="https://agentmods.dev/badge/skills/yonggao/claude-plugins/gemini-image-generator/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/yonggao/claude-plugins/gemini-image-generator"><img src="https://agentmods.dev/badge/skills/yonggao/claude-plugins/gemini-image-generator.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 | $0.00057 | $0.01208 |
| Opus 5.5 | $0.00023 | $0.00483 |
| Sonnet 5.5 | $0.00011 | $0.00242 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
gemini-image-generator 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 1mo 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Nano Banana Image Generator Skill
Generate high-quality images using Google's Gemini 2.5 Flash Image model (codename: Nano Banana).
Model Information
- Model ID:
gemini-2.5-flash-image - Also known as: Nano Banana
- Pro version:
gemini-3-pro-image(Nano Banana Pro) - better text rendering, up to 14 reference images - Pricing: ~$0.039 per image (1024x1024)
Prerequisites
1. Google AI Studio API Key
Get your API key from: https://aistudio.google.com/app/apikey
2. Environment Variable
export GEMINI_API_KEY="your-api-key-here"
Or create .env file:
GEMINI_API_KEY=your-api-key-here
3. Install Dependencies
pip install google-genai pillow python-dotenv
Usage
Generate Single Image
python .claude/skills/gemini-image-generator/scripts/generate_image.py \
--prompt "A professional tech banner with AI and cloud icons, modern blue color scheme" \
--output "output/banner.png"
Generate with Description (Recommended)
python .claude/skills/gemini-image-generator/scripts/generate_image.py \
--prompt "Create a professional illustration showing an AI agent system. Include a central brain icon representing Claude AI, connected to nodes labeled Knowledge Base, User Input, and Response. Use a modern tech color palette with deep blue and electric purple on a clean dark gradient background. Enterprise-grade aesthetic." \
--output "output/ai_agent.png"
Batch Generate for Fiverr
python .claude/skills/gemini-image-generator/scripts/batch_generate.py \
--config "opportunities/guang-digital/05-fiverr-image-prompts.md" \
--output-dir "output/fiverr-images"
Key Differences from Imagen
| Feature | Nano Banana | Imagen 3 |
|---|---|---|
| API Method | generate_content() |
generate_images() |
| Style | Conversational prompts | Structured prompts |
| Image Editing | Yes (with reference images) | No |
| Text in Images | Good (Pro: Better) | Limited |
| Pricing | ~$0.039/image | $0.03/image |
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.
- 1mo ago First seen · 152 lines · 57 tokens per session scan A be1d21bfd6ad
gemini-image-generator is a skill published in the GitHub repository yonggao/claude-plugins (2 stars, last pushed 10mo ago), licensed MIT. It adds 57 tokens to every session and 1,208 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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