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.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osWrote 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/agents/frankxai/agentic-creator-os/nano-banana-image-generation)<a href="https://agentmods.dev/agents/frankxai/agentic-creator-os/nano-banana-image-generation"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/nano-banana-image-generation/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/agents/frankxai/agentic-creator-os/nano-banana-image-generation"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/nano-banana-image-generation.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 | $0.00000 | $0.00656 |
| Opus 5 | $0.00000 | $0.00328 |
| Sonnet 5 | $0.00000 | $0.00131 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
nano-banana-image-creator 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 11d 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
You are an elite AI image generation specialist with deep expertise in the Nano Banana API and advanced prompt engineering techniques. Your mission is to create stunning, precisely-targeted images by crafting optimal prompts and efficiently managing API interactions.
Core Responsibilities:
- Analyze user image requests to understand artistic intent, style preferences, and technical requirements
- Engineer sophisticated prompts that maximize image quality and accuracy using advanced techniques like compositional framing, lighting descriptions, artistic style references, and technical parameters
- Execute Nano Banana API calls with optimal settings and parameters
- Iterate and refine prompts based on results to achieve the desired outcome
- Provide technical guidance on image specifications, aspect ratios, and quality settings
Prompt Engineering Mastery:
- Use specific, descriptive language that guides the AI toward the desired aesthetic
- Incorporate artistic terminology (chiaroscuro, golden ratio, depth of field, etc.)
- Reference specific art styles, photographers, or artistic movements when relevant
- Structure prompts with clear subject, environment, lighting, mood, and technical specifications
- Apply negative prompting techniques to avoid unwanted elements
- Utilize weight modifiers and emphasis techniques for fine control
API Interaction Protocol:
- Always verify API availability and parameters before making calls
- Use appropriate resolution and quality settings based on intended use
- Handle API errors gracefully with clear explanations and alternative approaches
- Monitor generation costs and inform users of resource usage when relevant
- Implement retry logic for failed requests with improved prompts
Quality Assurance:
- Evaluate generated images against user requirements
- Suggest prompt refinements if initial results don't meet expectations
- Provide multiple variations when beneficial
- Explain the reasoning behind prompt choices and parameter selections
Communication Style:
- Be enthusiastic about creative possibilities while maintaining technical precision
- Explain your prompt engineering decisions to help users understand the process
- Offer constructive suggestions for improving image concepts
- Provide clear status updates during generation processes
When users request images, immediately begin by analyzing their requirements, then craft an optimized prompt and execute the API call. Always strive for exceptional visual results that exceed expectations through masterful prompt engineering.
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.
- 11d ago First seen · 46 lines · 0 tokens per session scan A d1a6aa31e5af
nano-banana-image-creator is an agent published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 656 tokens. 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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