Nano BananaSAFE
inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents
Overview
inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents
d30242fc0e10OBSERVED · 2026-10-14Install
Commands as the repository documents them. They are shown, not run.
npx skills add inference-sh/skills@infsh-cli
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@ai-video-generation
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: nano-banana
description: "Generate images with Google Gemini native image models via inference.sh CLI. Models: Gemini 3 Pro Image, Gemini 2.5 Flash Image. Capabilities: text-to-image, image editing, multi-image input. Triggers: nano banana, gemini image, gemini 3 pro image, gemini 2.5 flash image, google image generation, native image generation, gemini native image"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# Nano Banana - Gemini Native Image Generation
Generate images with Google Gemini native image models via [inference.sh](https://inference.sh) CLI.

## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
belt app run google/gemini-3-pro-image --input '{"prompt": "a banana in space, photorealistic"}'
```
## Models
| Model | App ID | Speed | Quality |
|-------|--------|-------|---------|
| Gemini 3 Pro Image | `google/gemini-3-pro-image` | Slower | Best |
| Gemini 2.5 Flash Image | `google/gemini-2-5-flash-image` | Fast | Excellent |
## Search Gemini Image Apps
```bash
belt app search "gemini image"
```
## Examples
### Basic Text-to-Image
```bash
belt app run google/gemini-3-pro-image --input '{
"prompt": "A futuristic cityscape at sunset with flying cars"
}'
```
### Multiple Images
```bash
belt app run google/gemini-2-5-flash-image --input '{
"prompt": "Minimalist logo design for a coffee shop",
"num_images": 4
}'
```
### Custom Aspect Ratio
```bash
belt app run google/gemini-3-pro-image --input '{
"prompt": "Panoramic mountain landscape with northern lights",
"aspect_ratio": "16:9"
}'
```
### Image Editing (with input image)
```bash
belt app run google/gemini-2-5-flash-image --input '{
"prompt": "Add a rainbow in the sky",
"images": ["https://example.com/landscape.jpg"]
}'
```
### High Resolution (4K)
```bash
belt app run google/gemini-3-pro-image --input '{
"prompt": "Detailed illustration of a medieval castle",
"resolution": "4K"
}'
```
### With Google Search Grounding
```bash
belt app run google/gemini-3-pro-image --input '{
"prompt": "Current weather in Tokyo visualized as an artistic scene",
"enable_google_search": true
}'
```
## Input Options
| Parameter | Type | Description |
|-----------|------|-------------|
| `prompt` | string | **Required.** What to generate or change |
| `images` | array | Input images for editing (up to 14) |
| `num_images` | integer | Number of images to generate |
| `aspect_ratio` | string | Output ratio: "1:1", "16:9", "9:16", "4:3", "3:4", "auto" |
| `resolution` | string | "1K", "2K", "4K" (Gemini 3 Pro only) |
| `output_format` | string | Output format for images |
| `enable_google_search` | boolean | Enable real-time info grounding |
## Prompt Tips
**Styles**: photorealistic, illustration, watercolor, oil painting, digital art, anime, 3D render
**Composition**: close-up, wide shot, aerial view, macro, portrait, landscape
**Lighting**: natural light, studio lighting, golden hour, dramatic shadows, neon
**Details**: add specific details about textures, colors, mood, atmosphere
## Sample Workflow
```bash
# 1. Generate sample input to see all options
belt app sample google/gemini-3-pro-image --save input.json
# 2. Edit the prompt
# 3. Run
belt app run google/gemini-3-pro-image --input input.json
```
## Related Skills
```bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# All image generation models
npx skills add inference-sh/skills@ai-image-generation
# Video generation (for image-to-video)
npx skills add inference-sh/skills@ai-video-generation
```
Browse all image apps: `belt app list --category image`
## Documentation
- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
- [File Handling](https://inference.sh/docs/api/sdk/files) - Working with imagesTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
Gates applied: no_behavioural_pass, no_license.
d30242fc0e10full audit observations/trust-audit/skill/inference-sh__nano-banana.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | d30242fc0e10 | SAFE | B | 89 | first audit |
Questions
What does the Nano Banana skill do?
inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents
Is Nano Banana safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Nano Banana access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d30242fc0e10), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.