A high-performance AI image generation skill leveraging the Zhipu AI CogView-4 model via a secure Bash interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zhipu-cogview-image
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zhipu-cogview-image using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Zhipu Image Generation?
The Zhipu Image Generation skill provides a seamless interface for developers to generate visual content using the CogView-4 model from Zhipu AI. As part of the Openclaw Skills ecosystem, this tool prioritizes security and simplicity, allowing for rapid image creation directly from a terminal or script. It is designed for developers who need reliable AI-driven art generation within their automated workflows.
By integrating this skill, users gain access to advanced text-to-image capabilities powered by one of China's leading AI models. Whether you are building creative applications or automating asset creation, this addition to your Openclaw Skills library offers robust performance with minimal setup.
Zhipu Image Generation Use Cases
- Automating social media asset creation through AI-generated visuals.
- Integrating text-to-image capabilities into internal CLI tools.
- Prototyping creative concepts using the CogView-4 model.
- Generating unique illustrations for blogs and documentation directly from scripts.
How Zhipu Image Generation Works
- The user provides a descriptive text prompt and an authorized API key.
- The script validates the prompt length to ensure it stays within the 1000-character limit for API compatibility.
- A secure HTTPS request is constructed using curl, with the prompt safely escaped via jq to prevent injection.
- The Zhipu AI CogView API processes the request and returns the generated image data.
- The skill handles the response and provides the output or error messages based on the API result.
Zhipu Image Generation Setup
First, obtain your API key from the Zhipu AI platform. To use this within the Openclaw Skills framework, set your environment variable directly in your terminal:
export ZHIPU_API_KEY="your_api_key_here"
Ensure you have curl and jq installed on your system to handle requests and JSON parsing safely. For best security practices, avoid storing this key in shell configuration files.
Zhipu Image Generation Data Schema & Taxonomy
The skill interacts with the Zhipu AI v4 API. Below is the data structure for requests and safety features:
| Component | Detail |
|---|---|
| Model Target | CogView-4 |
| Prompt Limit | 1000 characters |
| Authentication | Bearer Token via ZHIPU_API_KEY |
| Security Protocol | TLS 1.2+ mandatory |
| Response Handling | jq-validated JSON |
| Execution Timeout | 60 seconds |
Zhipu Image Generation Advanced Features
- Secure JSON escaping using jq to prevent command injection attacks.
- Environment variable-based configuration to avoid hardcoding sensitive keys in scripts.
- High-speed image generation leveraging the latest CogView-4 architecture.
- Lightweight Bash implementation compatible with most Unix-like environments.
- Ready-to-use integration for larger Openclaw Skills automation pipelines.
SKILL.md
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