aliyun-wan-r2v-test

$npx mdskill add cinience/alicloud-skills/aliyun-wan-r2v-test

Validates minimal reference-to-video workflow for Model Studio Wan R2V

  • Tests core functionality of reference-to-video generation
  • Uses Aliyun Wan R2V API and example scripts
  • Executes predefined input prompts and reference videos
  • Reports success or failure with detailed error logs
SKILL.md
.github/skills/aliyun-wan-r2v-testView on GitHub ↗
---
name: aliyun-wan-r2v-test
description: Minimal reference-to-video smoke test for Model Studio Wan R2V.
version: 1.0.0
---

Category: 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/video/aliyun-wan-r2v

## Test Steps (Minimal)

1) Open the target skill SKILL.md and choose one minimal input example.
2) Send one minimal request or run the example script.
3) Record request summary, response summary, and success/failure reason.

Executable example:

```bash
.venv/bin/python skills/ai/video/aliyun-wan-r2v/scripts/prepare_r2v_request.py \
  --prompt "Generate a short montage" \
  --reference-video "https://example.com/ref.mp4"
```

Pass criteria:脚本返回 `{"ok": true, ...}` 且生成 `output/ai-video-wan-r2v/request.json`。

## Result Template

- Date: YYYY-MM-DD
- Skill: skills/ai/video/aliyun-wan-r2v
- Conclusion: pass / fail
- Notes:
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