alicloud-ai-entry-modelstudio-test
Run a minimal test matrix for the Model Studio skills that exist in this repo, including image/video/audio, realtime speech, omni, visual reasoning, embedding, rerank, and edit variants. Use to execute one small request per skill and record results.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cinience/alicloud-ai-entry-modelstudio-testWhat This Skill Does
The alicloud-ai-entry-modelstudio-test skill serves as the central verification hub for all Model Studio integrations within the OpenClaw ecosystem. Its primary purpose is to provide a structured, standardized test matrix that ensures the reliability and functionality of various Alibaba Cloud AI services, ranging from image generation and video synthesis to advanced voice processing. By automating the sanity-checking process for these skills, this entry point allows developers to quickly identify potential API outages, configuration mismatches, or breaking changes in the underlying model responses before incorporating them into larger workflows.
Installation
To install this skill, use the ClawHub CLI command within your terminal environment:
clawhub install openclaw/skills/skills/cinience/alicloud-ai-entry-modelstudio-test
Ensure that you have initialized a Python virtual environment to avoid PEP 668 restrictions and have installed the dashscope SDK. You must also configure your authentication credentials by setting the DASHSCOPE_API_KEY environment variable or by ensuring your ~/.alibabacloud/credentials file is properly populated with the required keys.
Use Cases
This skill is designed for AI developers and DevOps engineers managing model integrations. Key use cases include:
- Integration Validation: Verifying that newly updated skills in the repo are correctly interacting with Alibaba Cloud APIs.
- Environment Debugging: Quickly ruling out network or authentication issues when specific AI tasks fail.
- Regression Testing: Executing the full test matrix after an SDK update to ensure performance stability.
- Capability Mapping: Identifying which models are currently available and responsive for specific tasks like TTS or video generation.
Example Prompts
- "Run the full Model Studio test matrix and save the results to the default markdown file."
- "Execute a targeted test for the alicloud-ai-audio-tts-realtime skill and check the current latency."
- "Verify the connectivity for all video generation skills and report back which models are failing to initialize."
Tips & Limitations
- Check Dependencies: Always run the
alicloud-ai-misc-crawl-and-skilltool first if you suspect that the available model list is outdated, as API model IDs change frequently. - Authentication: If you encounter 401 errors, verify that your API key has the necessary permissions for the specific model regions being tested.
- Output Management: The test results are generated in a standardized markdown format (
output/alicloud-ai-entry-modelstudio-test-results.md); ensure your workspace has write permissions for this directory. - Environment Isolation: Always use a clean virtual environment to prevent dependency conflicts with other system-level Python packages.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cinience-alicloud-ai-entry-modelstudio-test": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, external-api
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