/install aliyun-modelstudio-entry-test
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; ordashscope_api_keyin~/.alibabacloud/credentials).
Test Matrix (currently supported)
- Text-to-image →
skills/ai/image/aliyun-qwen-image/ - Image editing →
skills/ai/image/aliyun-qwen-image-edit/ - Text-to-video / Image-to-video (i2v) →
skills/ai/video/aliyun-wan-video/ - Reference-to-video (r2v) →
skills/ai/video/aliyun-wan-r2v/ - TTS →
skills/ai/audio/aliyun-qwen-tts/ - ASR transcription (non-realtime) →
skills/ai/audio/aliyun-qwen-asr/ - Realtime ASR →
skills/ai/audio/aliyun-qwen-asr-realtime/ - Realtime TTS →
skills/ai/audio/aliyun-qwen-tts-realtime/ - Live speech translation →
skills/ai/audio/aliyun-qwen-livetranslate/ - CosyVoice voice clone →
skills/ai/audio/aliyun-cosyvoice-voice-clone/ - CosyVoice voice design →
skills/ai/audio/aliyun-cosyvoice-voice-design/ - Voice clone →
skills/ai/audio/aliyun-qwen-tts-voice-clone/ - Voice design →
skills/ai/audio/aliyun-qwen-tts-voice-design/ - Omni multimodal →
skills/ai/multimodal/aliyun-qwen-omni/ - Visual reasoning →
skills/ai/multimodal/aliyun-qvq/ - Text embedding →
skills/ai/search/aliyun-qwen-text-embedding/ - Rerank →
skills/ai/search/aliyun-qwen-rerank/ - Video editing →
skills/ai/video/aliyun-wan-edit/
If new capability tests are needed, create corresponding skill first (use skills/ai/misc/aliyun-modelstudio-crawl-and-skill/ to refresh model list).
Minimal Flow Per Capability
- Open target sub-skill directory and read
SKILL.md. - Choose one minimal input example and recommended model.
- Run SDK call or script.
- Record model, request summary, response summary, duration, and status.
Result Template
Save as output/aliyun-modelstudio-entry-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 | aliyun-qwen-image | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Image editing | aliyun-qwen-image-edit | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Image-to-video (i2v) | aliyun-wan-video | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Reference-to-video (r2v) | aliyun-wan-r2v | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| TTS | aliyun-qwen-tts | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| ASR (non-realtime) | aliyun-qwen-asr | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Realtime ASR | aliyun-qwen-asr-realtime | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Realtime TTS | aliyun-qwen-tts-realtime | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Live speech translation | aliyun-qwen-livetranslate | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| CosyVoice voice clone | aliyun-cosyvoice-voice-clone | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| CosyVoice voice design | aliyun-cosyvoice-voice-design | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Voice clone | aliyun-qwen-tts-voice-clone | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Voice design | aliyun-qwen-tts-voice-design | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Omni multimodal | aliyun-qwen-omni | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Visual reasoning | aliyun-qvq | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Text embedding | aliyun-qwen-text-embedding | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Rerank | aliyun-qwen-rerank | \x3Cmodel-id> | ... | ... | pass/fail | ... |
| Video editing | aliyun-wan-edit | \x3Cmodel-id> | ... | ... | pass/fail | ... |
Failure Handling
- If parameters are unclear, check target sub-skill
SKILL.mdorreferences/*.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/aliyun-modelstudio-entry-test
echo "validation_placeholder" > output/aliyun-modelstudio-entry-test/validate.txt
Pass criteria: command exits 0 and output/aliyun-modelstudio-entry-test/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-modelstudio-entry-test/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
- Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
- Run one minimal read-only query first to verify connectivity and permissions.
- Execute the target operation with explicit parameters and bounded scope.
- Verify results and save output/evidence files.
References
- Source list:
references/sources.md
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aliyun-modelstudio-entry-test - After installation, invoke the skill by name or use
/aliyun-modelstudio-entry-test - Provide required inputs per the skill's parameter spec and get structured output
What is Aliyun Modelstudio Entry Test?
Use when running a minimal test matrix for the Model Studio skills that exist in this repo, including image/video/audio, realtime speech, omni, visual reason... It is an AI Agent Skill for Claude Code / OpenClaw, with 111 downloads so far.
How do I install Aliyun Modelstudio Entry Test?
Run "/install aliyun-modelstudio-entry-test" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Aliyun Modelstudio Entry Test free?
Yes, Aliyun Modelstudio Entry Test is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Aliyun Modelstudio Entry Test support?
Aliyun Modelstudio Entry Test is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Aliyun Modelstudio Entry Test?
It is built and maintained by cinience (@cinience); the current version is v1.0.0.