mcpField
A
aliyun-modelstudio-entry-test

aliyun-modelstudio-entry-test

github.com/cinienceTesting & quality39654 installsUpdated 11w ago
Repository

About aliyun-modelstudio-entry-test

A test workflow for validating available Alibaba Cloud Model Studio skills and recording results. It covers image, video, audio, multimodal, and search capabilities, with guidance for saving evidence.

Key features

  1. 01Validates 18 Model Studio capabilities
  2. 02Runs SDK calls or scripts from skill examples
  3. 03Records models, requests, results, and status
  4. 04Saves artifacts and reproducible evidence

Use cases

  1. 01Check whether a skill's API call works
  2. 02Record call duration and response summaries
  3. 03Investigate auth, parameter, or model availability issues

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-modelstudio-entry-test

After installing, type/aliyun-modelstudio-entry-testin Claude Code to confirm it loaded.

Bundled filesagents/openai.yamlreferences/sources.md

Details

From the project README

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

  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/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 | <model-id> | ... | ... | pass/fail | ... |
| Image editing | aliyun-qwen-image-edit | <model-id> | ... | ... | pass/fail | ... |
| Image-to-video (i2v) | aliyun-wan-video | <model-id> | ... | ... | pass/fail | ... |
| Reference-to-video (r2v) | aliyun-wan-r2v | <model-id> | ... | ... | pass/fail | ... |
| TTS | aliyun-qwen-tts | <model-id> | ... | ... | pass/fail | ... |
| ASR (non-realtime) | aliyun-qwen-asr | <model-id> | ... | ... | pass/fail | ... |
| Realtime ASR | aliyun-qwen-asr-realtime | <model-id> | ... | ... | pass/fail | ... |
| Realtime TTS | aliyun-qwen-tts-realtime | <model-id> | ... | ... | pass/fail | ... |
| Live speech translation | aliyun-qwen-livetranslate | <model-id> | ... | ... | pass/fail | ... |
| CosyVoice voice clone | aliyun-cosyvoice-voice-clone | <model-id> | ... | ... | pass/fail | ... |
| CosyVoice voice design | aliyun-cosyvoice-voice-design | <model-id> | ... | ... | pass/fail | ... |
| Voice clone | aliyun-qwen-tts-voice-clone | <model-id> | ... | ... | pass/fail | ... |
| Voice design | aliyun-qwen-tts-voice-design | <model-id> | ... | ... | pass/fail | ... |
| Omni multimodal | aliyun-qwen-omni | <model-id> | ... | ... | pass/fail | ... |
| Visual reasoning | aliyun-qvq | <model-id> | ... | ... | pass/fail | ... |
| Text embedding | aliyun-qwen-text-embedding | <model-id> | ... | ... | pass/fail | ... |
| Rerank | aliyun-qwen-rerank | <model-id> | ... | ... | pass/fail | ... |
| Video editing | aliyun-wan-edit | <model-id> | ... | ... | 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/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

  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

Comments

Markdown supported