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 buildatscale-tv/gemini-skills --skill nano-banana-progit clone --depth 1 https://github.com/buildatscale-tv/gemini-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/buildatscale-tv/gemini-skills/nano-banana-pro)<a href="https://agentmods.dev/skills/buildatscale-tv/gemini-skills/nano-banana-pro"><img src="https://agentmods.dev/badge/skills/buildatscale-tv/gemini-skills/nano-banana-pro/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/buildatscale-tv/gemini-skills/nano-banana-pro"><img src="https://agentmods.dev/badge/skills/buildatscale-tv/gemini-skills/nano-banana-pro.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 | $0.00105 | $0.00945 |
| Opus 5 | $0.00053 | $0.00473 |
| Sonnet 5 | $0.00021 | $0.00189 |
| Haiku 4.5 | $0.00011 | $0.00094 |
Grade A, and why
nano-banana-pro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nano Banana Pro - Gemini Image Generation
Generate custom images using Google's Gemini 2.5 Flash model for integration into frontend designs.
Prerequisites
Set the GEMINI_API_KEY environment variable with your Google AI API key.
Image Generation Workflow
Step 1: Generate the Image
Use scripts/image.py with uv. The script is located in the skill directory at skills/nano-banana-pro/scripts/image.py:
uv run "${SKILL_DIR}/scripts/image.py" \
--prompt "Your image description" \
--output "/path/to/output.png"
Where ${SKILL_DIR} is the directory containing this SKILL.md file.
Options:
--prompt(required): Detailed description of the image to generate--output(required): Output file path (PNG format)--aspect(optional): Aspect ratio - "square", "landscape", "portrait" (default: square)--reference(optional): Path to a reference image for style, composition, or content guidance
Using a Reference Image
To generate an image based on an existing reference:
uv run "${SKILL_DIR}/scripts/image.py" \
--prompt "Create a similar abstract pattern with warmer colors" \
--output "/path/to/output.png" \
--reference "/path/to/reference.png"
The reference image helps Gemini understand the desired style, composition, or visual elements you want in the generated image.
Step 2: Integrate with Frontend Design
After generating images, incorporate them into frontend code:
HTML/CSS:
<img src="./generated-hero.png" alt="Description" class="hero-image" />
React:
import heroImage from './assets/generated-hero.png';
<img src={heroImage} alt="Description" className="hero-image" />
CSS Background:
.hero-section {
background-image: url('./generated-hero.png');
background-size: cover;
background-position: center;
}
Crafting Effective Prompts
Write detailed, specific prompts for best results:
Good prompt:
A minimalist geometric pattern with overlapping translucent circles in coral, teal, and gold on a deep navy background, suitable for a modern fintech landing page hero section
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.
- 12d ago First seen · 112 lines · 105 tokens per session scan A 2f00dc935f19
nano-banana-pro is a skill published in the GitHub repository buildatscale-tv/gemini-skills (22 stars, last pushed 8mo ago), licensed MIT. It adds 105 tokens to every session and 945 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…