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Install in OpenClaw
/install nano-banana-pro-fork
Description
Use Nano Banana 2 (Gemini 3.1 Flash Image), the newest image model focused on faster iteration, lower cost, and strong quality. Published 2026-02-26 as the l...
Usage Guidance
This skill appears to do what it claims (generate/edit images using Gemini), but there are several inconsistencies you should resolve before installing or running it:
- Metadata mismatch: The registry manifest says no required env vars or binaries, but SKILL.md and the script require an API key (GEMINI_API_KEY or --api-key) and the 'uv' runtime. Treat the GEMINI_API_KEY as required.
- Provenance: The skill's _meta.json owner/slug differ from the registry owner/slug and the source is 'unknown' with no homepage — verify the author's identity (and prefer official sources) before trusting API keys.
- Dependencies: The script expects google-genai and Pillow but provides no install step. Run in an isolated environment (container or VM) and install dependencies from trusted package registries before running.
- Least privilege: Use a dedicated, limited Gemini API key or account (not a production key) and monitor usage/quota. Do not share high-privilege credentials with untrusted code.
- Verify runtime: Ensure the 'uv' runner invoked in SKILL.md is the intended tool on your system; if unfamiliar, inspect how 'uv run' executes user scripts.
If the publisher updates the registry metadata to declare GEMINI_API_KEY and 'uv' as requirements, and the owner/slug provenance is reconciled (or the source is a trusted repo), this would increase confidence. If you cannot confirm the source or provenance, treat the package as untrusted and test only in isolated environments.
Capability Analysis
Type: OpenClaw Skill
Name: nano-banana-pro-fork
Version: 1.0.5
The skill is a well-implemented wrapper for the Google Gemini 3.1 Flash Image API, facilitating image generation and editing. The Python script `generate_image.py` uses the official `google-genai` library and `Pillow` for image processing, handling API keys securely via environment variables or command-line arguments. The `SKILL.md` file provides clear, safe instructions for the AI agent, including guidance on generating timestamped filenames and a structured workflow, with no evidence of malicious intent, data exfiltration, or high-risk vulnerabilities.
Capability Assessment
Purpose & Capability
The name, description, SKILL.md, and the included Python script all describe image generation/editing via Google's Gemini (gemini-3.1-flash-image-preview) and use google.genai + Pillow to call the API and save PNGs — this is coherent with the stated purpose. However, the registry metadata lists no required env vars or binaries while the SKILL.md and script clearly require an API key (GEMINI_API_KEY or --api-key) and the 'uv' runtime, so the metadata under-declares what the skill needs.
Instruction Scope
SKILL.md instructs running the included script via 'uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py' and explicitly requires 'uv' to exist and an API key be provided. The script enforces an API key and reads input image files from user-specified paths. That behavior is appropriate for the skill, but SKILL.md also requires running from the user's current working directory (a reasonable user instruction) and expects an absolute path invocation — these operational requirements are fine, but they are not declared in the package metadata. The instructions are specific rather than overly broad, but the mismatch between declared and actual requirements is a concern.
Install Mechanism
There is no install specification (instruction-only install), which reduces installer risk. The included script lists dependencies in comments (google-genai, pillow) but does not provide an installation step; users must ensure those packages are installed. Lack of an install spec is not malicious but is an operational omission that could lead users to run the script without necessary dependencies.
Credentials
The script legitimately requires a single GEMINI_API_KEY (or --api-key) to call Google's genai API — that is proportionate to the purpose. However, the skill's registry metadata declares no required environment variables or primary credential, which contradicts SKILL.md/script. This under-reporting of a credential requirement (and the absence of any declared primaryEnv) is a noteworthy inconsistency. Also the repository metadata in _meta.json (owner 'steipete' and slug 'nano-banana-pro') doesn't match the registry owner/slug shown in the skill manifest, increasing provenance concerns.
Persistence & Privilege
The skill does not request persistent or elevated platform privileges: always is false and disable-model-invocation is default. It does not modify other skills or system-wide config. Its behavior is limited to using an API key to call an external model and writing image files to the working directory.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nano-banana-pro-fork - After installation, invoke the skill by name or use
/nano-banana-pro-fork - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
Add explicit rationale section: Nano Banana 2 is the newer image model (Feb 26, 2026), optimized for faster, more cost-effective iterative generation while retaining image editing quality for practical workflows.
v1.0.4
Refine Nano Banana 2 description to explicitly position it as newest model (Feb 2026), faster iteration + lower cost profile, with clearer upgrade messaging.
v1.0.3
Improve Nano Banana 2 description to emphasize newest model, faster generation, and lower cost; includes Gemini 3.1 Flash framing.
v1.0.2
Forked update: switch model to gemini-3.1-flash-image-preview (Nano Banana 2) and update docs.
Metadata
Frequently Asked Questions
What is Nano Banana Pro?
Use Nano Banana 2 (Gemini 3.1 Flash Image), the newest image model focused on faster iteration, lower cost, and strong quality. Published 2026-02-26 as the l... It is an AI Agent Skill for Claude Code / OpenClaw, with 397 downloads so far.
How do I install Nano Banana Pro?
Run "/install nano-banana-pro-fork" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nano Banana Pro free?
Yes, Nano Banana Pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nano Banana Pro support?
Nano Banana Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nano Banana Pro?
It is built and maintained by wegoagain (@wegoagain-dev); the current version is v1.0.5.
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