Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add agentic-dev3o/devx-plugins/plugin install nano-banana-ultimateWrote 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/agentic-dev3o/devx-plugins/banana-ads)<a href="https://agentmods.dev/skills/agentic-dev3o/devx-plugins/banana-ads"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-ads/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/agentic-dev3o/devx-plugins/banana-ads"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-ads.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 | $0.00063 | $0.00938 |
| Opus 5.5 | $0.00025 | $0.00375 |
| Sonnet 5.5 | $0.00013 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
banana-ads 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Online Advertising Visuals
Input: $ARGUMENTS (optional — product/service and ad format)
If $ARGUMENTS is provided, use it as the campaign brief and skip to prompt building. If empty, ask about the product and target placement.
Requirements
uvinstalledGEMINI_API_KEYenvironment variable set (get one at https://aistudio.google.com/apikey)
Workflow
- Understand — Clarify the product or service, the value proposition, and the target ad placement (Instagram feed, YouTube pre-roll, web banner, etc.).
- Build prompt — Apply the Prompt Formula below to construct a bold, commercially viable image description.
- Configure — Detect the ad format from context and select aspect ratio and resolution from the Ad Format Detection table.
- Generate — Run the script. the generation script with the assembled prompt and settings.
- Deliver — Report the saved file path. Do NOT read the image file back. Offer to iterate: adjust composition, color palette, or layout.
Prompt Formula
[Product/Service] + [Value Proposition as Action] + [Ad Placement Context] + [Bold Center-Weighted Composition] + [Clean Commercial Photography or Flat Design]
Ad Format Detection
| Placement | Aspect Ratio | Resolution |
|---|---|---|
| Instagram/Facebook feed | 4:5 | 2K |
| Instagram story | 9:16 | 2K |
| YouTube pre-roll | 16:9 | 2K |
| Web banner | 21:9 | 2K |
| Square social | 1:1 | 2K |
Key Instructions
- Negative space for text overlay -- Always leave generous negative space (top, bottom, or side) for headline and CTA placement. Ad visuals are incomplete without copy; design the composition to accommodate it.
- No baked-in text -- Do NOT prompt Gemini to render text into the image. Gemini text rendering is unreliable and produces artifacts. Advise the user to add headlines, CTAs, and legal copy in a separate design tool (Figma, Canva, Photoshop).
- Bold center-weighted composition -- Place the hero product or key visual element at the center or slightly off-center with clean breathing room around it.
- Commercial lighting -- Default to clean, bright studio lighting with soft shadows. Use high-key lighting for upbeat campaigns and moody side lighting for premium or luxury positioning.
- Color psychology -- Match the color palette to the campaign intent: warm tones for urgency and sales, cool tones for trust and tech, vibrant saturated hues for youth and energy.
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.
- 1mo ago First seen · 85 lines · 63 tokens per session scan A 879dd7aaad71
banana-ads is a skill published in the GitHub repository agentic-dev3o/devx-plugins (12 stars, last pushed 10d ago), licensed MIT. It adds 63 tokens to every session and 938 once invoked, about $0.0003 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 2026-08-30.
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