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-objects)<a href="https://agentmods.dev/skills/agentic-dev3o/devx-plugins/banana-objects"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-objects/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-objects"><img src="https://agentmods.dev/badge/skills/agentic-dev3o/devx-plugins/banana-objects.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 | $0.00061 | $0.00859 |
| Opus 5.5 | $0.00024 | $0.00344 |
| Sonnet 5.5 | $0.00012 | $0.00172 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
banana-objects 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.
Object & Product Photography
Input: $ARGUMENTS (optional — product description and intended use)
If $ARGUMENTS is provided, use it as the product brief and skip to prompt building. If empty, ask about the product and context.
Requirements
uvinstalledGEMINI_API_KEYenvironment variable set (get one at https://aistudio.google.com/apikey)
Workflow
- Understand — Clarify the product, surface, and intended use (catalog, social, editorial).
- Build prompt — Apply the Prompt Formula below to construct a detailed, positive-framed image description.
- Configure — Select aspect ratio and resolution from the Domain Defaults table.
- Generate — Run the script.
- Deliver — Report the saved file path. Do NOT read the image file back. Offer to iterate: adjust angle, lighting, or surface.
Prompt Formula
[Object with Material Description] + [Resting/Floating on Surface] + [Studio or Lifestyle Setting] + [Center-Weighted Hero Composition] + [Studio Photography, Controlled Lighting]
Domain Defaults
| Domain | Aspect Ratio | Resolution |
|---|---|---|
| E-commerce catalog | 1:1 | 2K |
| Instagram product | 4:5 | 2K |
| Lifestyle context | 4:3 | 2K |
Lighting guidance: Use soft diffused studio lighting as the default. Switch to backlit setups for glass and translucent materials to emphasize clarity and refraction.
Key Instructions
- Material properties -- Always describe the material explicitly: matte aluminum, glossy ceramic, brushed steel, frosted glass, soft-touch rubber. Material language drives realism.
- Surface specification -- State the surface the object rests on: marble slab, reclaimed wooden table, white sweep, linen cloth, terrazzo countertop.
- Food photography -- Include sensory texture cues: rising steam, a drip of honey mid-fall, glistening condensation, crispy golden edges, powdered sugar dusting.
- Sense of scale -- Place a contextual element nearby (a hand, a coin, a coffee cup) or describe relative size so the viewer anchors the object's dimensions.
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 · 61 tokens per session scan A 0d69ae0977e6
banana-objects is a skill published in the GitHub repository agentic-dev3o/devx-plugins (12 stars, last pushed 10d ago), licensed MIT. It adds 61 tokens to every session and 859 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 2026-08-30.
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