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Nanobanana Pro

v0.4.4

Nano Banana Pro with auto model fallback — generate/edit images via Gemini Image API. Run via: uv run {baseDir}/scripts/generate_image.py --prompt 'desc' --filename 'out.png' [--resolution 1K|2K|4K] [-i input.png]. Supports text-to-image + image-to-image (up to 14); 1K/2K/4K. Fallback chain: gemini-2.5-flash-image → gemini-2.0-flash-exp. MUST use uv run, not python3.

⭐ 3· 2.4k·5 current·5 all-time
by@yazelin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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high confidence
✓
Purpose & Capability
Name/description (image generation/editing via Gemini) match the actual files and declared requirements. The script uses the Gemini client, accepts an API key, and requires the 'uv' runner as described. Requiring GEMINI_API_KEY and the uv binary is proportional to the stated functionality.
✓
Instruction Scope
SKILL.md and the included script instruct the agent to run the bundled script with 'uv run', operate on user-supplied input images, and save an output file (printing a MEDIA: line). The instructions do not request unrelated files, extra credentials, or exfiltration endpoints. The script only reads input image paths provided by the user and writes the specified output file.
✓
Install Mechanism
Install uses a Homebrew formula to install 'uv', a known runner. There are no downloads from arbitrary/personal URLs or extract steps that write unknown code to disk. 'uv' will manage Python dependencies at runtime (expected for this project).
✓
Credentials
Only GEMINI_API_KEY is required (primaryEnv). An optional env var (NANOBANANA_FALLBACK_MODELS) is documented for configuration. No unrelated secrets or excessive environment access are requested.
✓
Persistence & Privilege
The skill is not always-included and does not request elevated or cross-skill config changes. It does not modify other skills' settings or request persistent system-wide privileges.
Assessment
This skill appears coherent and implements an image-generation wrapper around the Gemini API. Before installing, confirm you trust the GEMINI API endpoint and the author: the script will send prompts and (optionally) user-supplied image bytes to Google’s Gemini service using the GEMINI_API_KEY. Keep your API key private (avoid passing it on shared CLI history), and consider setting limited-scope credentials if the provider supports them. Review the public repo (homepage) if you want further assurance. Installing 'uv' via Homebrew is expected; inspect what 'uv' will install on your platform. If you plan to supply local images, ensure you only pass files you intend to upload to the remote API.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🍌 Clawdis
Binsuv
EnvGEMINI_API_KEY
Primary envGEMINI_API_KEY

Install

Install uv (brew)
Bins: uv
brew install uv

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