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Install in OpenClaw
/install gemini-image-simple
Description
Generate and edit images with Gemini API using pure Python stdlib. Zero dependencies - works on locked-down environments where pip/uv aren't available.
Usage Guidance
Install only if you are comfortable sending prompts, selected input images, and related request data to Google's Gemini API under your API key. Use an API key intended for this purpose, monitor quota or billing, and choose output paths carefully to avoid overwriting important files.
Capability Analysis
Type: OpenClaw Skill
Name: gemini-image-simple
Version: 1.1.0
The skill is classified as benign. The `SKILL.md` provides clear instructions for image generation and editing using the Gemini API, requiring only the `GEMINI_API_KEY` environment variable. The `scripts/generate.py` script implements this functionality using standard Python libraries (`urllib.request`, `json`, `base64`), connecting to the legitimate Google Gemini API endpoint (`https://generativelanguage.googleapis.com/v1beta/models/nano-banana-pro-preview:generateContent`). It reads user-specified input image files and writes generated output image files, which is directly aligned with its stated purpose. There is no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, prompt injection attempts against the agent, or obfuscation.
Capability Assessment
Purpose & Capability
The documentation and script consistently implement image generation/editing through the Gemini API using a user-provided prompt, optional input image, and caller-chosen output path.
Instruction Scope
Runtime instructions are user-directed command examples; there are no hidden role changes, autonomous workflows, prompt-injection instructions, or unrelated agent-control behavior in the artifacts.
Install Mechanism
There is no package installation or dependency bootstrap; the skill consists of SKILL.md and one Python stdlib script.
Credentials
The GEMINI_API_KEY requirement and network call to generativelanguage.googleapis.com are disclosed and proportionate for a Gemini image-generation integration, though users should understand prompts and selected images leave the local environment.
Persistence & Privilege
The script writes generated image bytes to the user-specified output path and creates missing parent directories; this is expected, but it can overwrite an existing file if the user chooses that path.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gemini-image-simple - After installation, invoke the skill by name or use
/gemini-image-simple - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
- Switched image generation model to "Nano Banana Pro" (`nano-banana-pro-preview`), delivering highest quality image generation (Gemini 3 Pro Image).
- Updated documentation to reflect the new model and its aliases, including information about alternative models.
- Enhanced "How It Works" and "Model" sections in SKILL.md for clarity and transparency.
- All functionality remains dependency-free and continues to work on any Python 3.10+ installation.
v1.0.0
Initial release - zero-dependency Gemini image generation
Metadata
Frequently Asked Questions
What is Gemini Image Simple?
Generate and edit images with Gemini API using pure Python stdlib. Zero dependencies - works on locked-down environments where pip/uv aren't available. It is an AI Agent Skill for Claude Code / OpenClaw, with 7819 downloads so far.
How do I install Gemini Image Simple?
Run "/install gemini-image-simple" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Gemini Image Simple free?
Yes, Gemini Image Simple is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Gemini Image Simple support?
Gemini Image Simple is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Gemini Image Simple?
It is built and maintained by Cluka-399 (@cluka-399); the current version is v1.1.0.
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