Nanobanana Pro

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.

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.

Type: OpenClaw Skill Name: nanobanana-pro-fallback Version: 0.4.4 The skill bundle is benign. Its purpose is to generate and edit images using the Gemini Image API, with model fallback. The `scripts/generate_image.py` script correctly handles API key retrieval, loads user-provided input images, makes calls to the Google Gemini API, and saves the resulting image to a user-specified path. All file system and network operations are directly aligned with the stated purpose. The `SKILL.md` instructions for the agent are clear and include a benign safety instruction ('Do not read the image back; report the saved path only'), with no evidence of malicious prompt injection or other harmful behaviors.