A
alicloud-ai-multimodal-qwen-vl-test
About alicloud-ai-multimodal-qwen-vl-test
A minimal test skill for checking the request path of the Alibaba Cloud Qwen VL multimodal skill. It runs a smoke test with an image and checks the returned status, text, model, and result file.
Key features
- 01Run a Qwen VL image smoke test
- 02Check JSON pass status
- 03Verify non-empty response text
- 04Check returned model name
- 05Save smoke-test result JSON
Use cases
- 01Verify image-based Qwen VL requests
- 02Confirm the response uses the requested model
MCP support
This test skill does not specify an MCP integration.
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ cinience/ alicloud-skills --skill alicloud-ai-multimodal-qwen-vl-testAfter installing, type/alicloud-ai-multimodal-qwen-vl-testin Claude Code to confirm it loaded.
Bundled filesscripts/smoke_test_qwen_vl.pytest_analyze_image.py
Details
From the project READMECategory: test
Minimal Viable Test
Goals
- Validate only the minimal request path for this skill.
- If execution fails, record exact error details without guessing parameters.
Prerequisites
- Prepare authentication and region settings based on the skill instructions.
- Target skill: skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl
Test Steps (Minimal)
- Open the target skill SKILL.md and choose one minimal input example.
- Send one minimal request or run the example script.
- Record request summary, response summary, and success/failure reason.
推荐直接运行:
python tests/ai/multimodal/alicloud-ai-multimodal-qwen-vl-test/scripts/smoke_test_qwen_vl.py \
--image output/ai-image-qwen-image/images/vl_test_cat.png
Pass criteria:
- 返回 JSON 中
status=pass。 - 输出文件
output/ai-multimodal-qwen-vl/smoke-test/result.json存在。 - 结果包含非空
text,且model与请求模型一致或同前缀。
Result Template
- Date: YYYY-MM-DD
- Skill: skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl
- Conclusion: pass / fail
- Notes:
Comments
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