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-web)<a href="https://agentmods.dev/skills/agentic-dev3o/devx-plugins/banana-web"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-web/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-web"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-web.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 | $0.00070 | $0.01021 |
| Opus 5.5 | $0.00028 | $0.00408 |
| Sonnet 5.5 | $0.00014 | $0.00204 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
banana-web 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Design Assets
Input: $ARGUMENTS (optional — asset type and visual description)
If $ARGUMENTS is provided, use it as the design brief and skip to prompt building. If empty, ask about the asset type and theme.
Requirements
uvinstalledGEMINI_API_KEYenvironment variable set (get one at https://aistudio.google.com/apikey)
Workflow
- Understand — Parse the user's request. Identify the asset type (hero, card, section divider, banner, motion keyframe), its placement context, and intended visual tone. Ask whether the asset targets dark mode or light mode if not specified. If the subject or intent is unclear, ask ONE clarifying question.
- Build prompt — Construct a detailed Gemini prompt using the Prompt Formula below. Ensure the prompt specifies negative space placement and focal point offset for headline overlay compatibility.
- Configure — Choose aspect ratio, resolution, and model based on the Asset Type Defaults table. Use defaults unless the user specifies otherwise.
- Generate — Run the script.
- Deliver — Report the saved file path. Do NOT read the image file back. Offer to iterate: adjust palette, composition, theme, or prompt.
Prompt Formula
Build every web design asset prompt using this structure:
[UI Element/Scene] + [Visual Hierarchy Direction] + [Theme Context: dark/light] + [Wide Cinematic Composition] + [Modern Digital Art / Gradient Mesh / 3D Abstract]
Rules
- Positive framing: Describe what IS in the image, never what is absent.
- Strong verb opener: Start with Design, Compose, Render, Create, Generate.
- Background-first thinking: Generate assets that work as backgrounds — large negative space, non-centered focal point positioned to allow headline overlay.
- Dark/light mode awareness: Always consider the target theme. Dark mode assets use deep bases (#0a0a0a to #1a1a2e) with luminous accents. Light mode assets use soft whites and pastels with subtle depth.
- Modern aesthetics: Favor gradient meshes, abstract 3D shapes, glassmorphism elements, soft glows, and volumetric lighting.
- Composition: Offset the focal point to one side or corner, leaving generous negative space for text content.
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 · 88 lines · 70 tokens per session scan A be559e131617
banana-web is a skill published in the GitHub repository agentic-dev3o/devx-plugins (12 stars, last pushed 10d ago), licensed MIT. It adds 70 tokens to every session and 1,021 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.