nano-banana-2 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited nano-banana-2 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Install the belt CLI skill: npx skills add belt-sh/cliGenerate images with Google Gemini 3.1 Flash Image Preview via inference.sh CLI.
Requires inference.sh CLI (belt). Install instructionsbelt login
belt app run google/gemini-3-1-flash-image-preview --input '{"prompt": "a banana in space, photorealistic"}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "A futuristic cityscape at sunset with flying cars"
}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Minimalist logo design for a coffee shop",
"num_images": 4
}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Panoramic mountain landscape with northern lights",
"aspect_ratio": "16:9"
}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Add a rainbow in the sky",
"images": ["https://example.com/landscape.jpg"]
}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Detailed illustration of a medieval castle",
"resolution": "4K"
}'belt app run google/gemini-3-1-flash-image-preview --input '{
"prompt": "Current weather in Tokyo visualized as an artistic scene",
"enable_google_search": true
}'| Parameter | Type | Description |
|---|---|---|
prompt | string | Required. What to generate or change |
images | array | Input images for editing (up to 14). Supported: JPEG, PNG, WebP |
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" (default: 1K) |
output_format | string | Output format for images |
enable_google_search | boolean | Enable real-time info grounding (weather, news, etc.) |
| Field | Type | Description |
|---|---|---|
images | array | The generated or edited images |
description | string | Text description or response from the model |
output_meta | object | Metadata about inputs/outputs for pricing |
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
# 1. Generate sample input to see all options
belt app sample google/gemini-3-1-flash-image-preview --save input.json
# 2. Edit the prompt
# 3. Run
belt app run google/gemini-3-1-flash-image-preview --input input.jsonfrom inferencesh import inference
client = inference()
# Basic generation
result = client.run({
"app": "google/gemini-3-1-flash-image-preview@0c7ma1ex",
"input": {
"prompt": "A banana in space, photorealistic"
}
})
print(result["output"])
# Stream live updates
for update in client.run({
"app": "google/gemini-3-1-flash-image-preview@0c7ma1ex",
"input": {
"prompt": "A futuristic cityscape at sunset"
}
}, stream=True):
if update.get("progress"):
print(f"progress: {update['progress']}%")
if update.get("output"):
print(f"output: {update['output']}")# Original Nano Banana (Gemini 3 Pro Image, Gemini 2.5 Flash Image)
npx skills add inference-sh/skills@nano-banana
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# All image generation models
npx skills add inference-sh/skills@ai-image-generationBrowse all image apps: belt app store --category image
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.