Design & media

Alibaba Cloud AI Entry Modelstudio Test

Run and document a minimal validation matrix for 18 Model Studio capabilities in the repository.

What it does

Validate 18 repository skills spanning image, video, speech, multimodal reasoning, embeddings, and reranking. For each capability, read its SKILL.md, choose a minimal input and recommended model, run an SDK call or script, and record the model, request, response, duration, and pass/fail status. Results and supporting evidence are saved under the specified output paths.

When to use it

  • Repository-wide Model Studio smoke testing
  • Verifying connectivity and permissions before scoped operations
  • Recording pass/fail results for image, video, audio, and search skills
  • Collecting reproducible API response evidence

The skill document

Category: task

Model Studio Skills Minimal Test

Run minimal validation for currently available Model Studio skills in this repo and record results.

Prerequisites

  • Install SDK (virtual environment recommended to avoid PEP 668 restrictions):
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
  • Configure DASHSCOPE_API_KEY (environment variable preferred; or dashscope_api_key in ~/.alibabacloud/credentials).

Test Matrix (currently supported)

  1. Text-to-image → skills/ai/image/alicloud-ai-image-qwen-image/
  2. Image editing → skills/ai/image/alicloud-ai-image-qwen-image-edit/
  3. Text-to-video / Image-to-video (i2v) → skills/ai/video/alicloud-ai-video-wan-video/
  4. Reference-to-video (r2v) → skills/ai/video/alicloud-ai-video-wan-r2v/
  5. TTS → skills/ai/audio/alicloud-ai-audio-tts/
  6. ASR transcription (non-realtime) → skills/ai/audio/alicloud-ai-audio-asr/
  7. Realtime ASR → skills/ai/audio/alicloud-ai-audio-asr-realtime/
  8. Realtime TTS → skills/ai/audio/alicloud-ai-audio-tts-realtime/
  9. Live speech translation → skills/ai/audio/alicloud-ai-audio-livetranslate/
  10. CosyVoice voice clone → skills/ai/audio/alicloud-ai-audio-cosyvoice-voice-clone/
  11. CosyVoice voice design → skills/ai/audio/alicloud-ai-audio-cosyvoice-voice-design/
  12. Voice clone → skills/ai/audio/alicloud-ai-audio-tts-voice-clone/
  13. Voice design → skills/ai/audio/alicloud-ai-audio-tts-voice-design/
  14. Omni multimodal → skills/ai/multimodal/alicloud-ai-multimodal-qwen-omni/
  15. Visual reasoning → skills/ai/multimodal/alicloud-ai-multimodal-qvq/
  16. Text embedding → skills/ai/search/alicloud-ai-search-text-embedding/
  17. Rerank → skills/ai/search/alicloud-ai-search-rerank/
  18. Video editing → skills/ai/video/alicloud-ai-video-wan-edit/

If new capability tests are needed, create corresponding skill first (use skills/ai/misc/alicloud-ai-misc-crawl-and-skill/ to refresh model list).

Minimal Flow Per Capability

  1. Open target sub-skill directory and read SKILL.md.
  2. Choose one minimal input example and recommended model.
  3. Run SDK call or script.
  4. Record model, request summary, response summary, duration, and status.

Result Template

Save as output/alicloud-ai-entry-modelstudio-test-results.md:

# Model Studio Skill Test Results

- Date: YYYY-MM-DD
- Environment: region / API_BASE / auth method

| Capability | Sub-skill | Model | Request summary | Result summary | Status | Notes |
| --- | --- | --- | --- | --- | --- | --- |
| Text-to-image | alicloud-ai-image-qwen-image |  | ... | ... | pass/fail | ... |
| Image editing | alicloud-ai-image-qwen-image-edit |  | ... | ... | pass/fail | ... |
| Image-to-video (i2v) | alicloud-ai-video-wan-video |  | ... | ... | pass/fail | ... |
| Reference-to-video (r2v) | alicloud-ai-video-wan-r2v |  | ... | ... | pass/fail | ... |
| TTS | alicloud-ai-audio-tts |  | ... | ... | pass/fail | ... |
| ASR (non-realtime) | alicloud-ai-audio-asr |  | ... | ... | pass/fail | ... |
| Realtime ASR | alicloud-ai-audio-asr-realtime |  | ... | ... | pass/fail | ... |
| Realtime TTS | alicloud-ai-audio-tts-realtime |  | ... | ... | pass/fail | ... |
| Live speech translation | alicloud-ai-audio-livetranslate |  | ... | ... | pass/fail | ... |
| CosyVoice voice clone | alicloud-ai-audio-cosyvoice-voice-clone |  | ... | ... | pass/fail | ... |
| CosyVoice voice design | alicloud-ai-audio-cosyvoice-voice-design |  | ... | ... | pass/fail | ... |
| Voice clone | alicloud-ai-audio-tts-voice-clone |  | ... | ... | pass/fail | ... |
| Voice design | alicloud-ai-audio-tts-voice-design |  | ... | ... | pass/fail | ... |
| Omni multimodal | alicloud-ai-multimodal-qwen-omni |  | ... | ... | pass/fail | ... |
| Visual reasoning | alicloud-ai-multimodal-qvq |  | ... | ... | pass/fail | ... |
| Text embedding | alicloud-ai-search-text-embedding |  | ... | ... | pass/fail | ... |
| Rerank | alicloud-ai-search-rerank |  | ... | ... | pass/fail | ... |
| Video editing | alicloud-ai-video-wan-edit |  | ... | ... | pass/fail | ... |

Failure Handling

  • If parameters are unclear, check target sub-skill SKILL.md or references/*.md.
  • If model is unavailable, refresh model list and retry.
  • For auth issues, verify DASHSCOPE_API_KEY (env var or ~/.alibabacloud/credentials).

Validation

mkdir -p output/alicloud-ai-entry-modelstudio-test
echo "validation_placeholder" > output/alicloud-ai-entry-modelstudio-test/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-entry-modelstudio-test/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/alicloud-ai-entry-modelstudio-test/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • Source list: references/sources.md

Questions people ask

Which capabilities are included in the test matrix?
The matrix covers 18 capabilities: image generation and editing; video generation, reference generation, and editing; TTS, ASR, realtime speech, translation, voice cloning, and voice design; omni multimodal and visual reasoning; text embeddings and reranking.
What setup is required before running the tests?
Install the `dashscope` Python package, preferably in a virtual environment, and configure `DASHSCOPE_API_KEY` through an environment variable or `dashscope_api_key` in `~/.alibabacloud/credentials`.
What output does a test run produce?
It writes a Markdown results table to `output/alicloud-ai-entry-modelstudio-test-results.md` and stores artifacts, command outputs, and API response summaries under `output/alicloud-ai-entry-modelstudio-test/`.

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