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alicloud-ai-entry-modelstudio-test

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🇺🇸

Original

English
🇨🇳

Translation

Chinese
Category: test
Category: test

最小可用测试

Minimal Smoke Test

目标

Objectives

  • 仅验证该技能的最小请求链路可用。
  • 失败时记录错误信息，不猜参数。
  • Only verify that the minimal request chain of this skill is functional.
  • Record error messages when failed, do not guess parameters.

前置条件

Prerequisites

  • 按技能说明准备认证信息与 Region。
  • 安装 DashScope SDK：
    python -m pip install dashscope
  • 配置 
    DASHSCOPE_API_KEY
    （建议使用环境变量或 .env）。
  • 参考技能目录：skills/ai/entry/alicloud-ai-entry-modelstudio
  • Prepare authentication information and Region according to the skill instructions.
  • Install DashScope SDK: 
    python -m pip install dashscope
  • Configure 
    DASHSCOPE_API_KEY
    (recommended to use environment variables or .env).
  • Refer to the skill directory: skills/ai/entry/alicloud-ai-entry-modelstudio

测试步骤（最小）

Minimal Test Steps

  1. 打开对应技能的 SKILL.md，选择一个最小输入示例。
  2. 发起请求或运行示例脚本。
  3. 记录：请求摘要 / 返回摘要 / 成功或失败原因。
  1. Open the SKILL.md of the corresponding skill and select a minimal input example.
  2. Send a request or run the sample script.
  3. Record: Request Summary / Response Summary / Reason for success or failure.

输出建议

Output Recommendations

  • 将结果保存为 
    output/alicloud-ai-entry-modelstudio-test-results.md
    。
  • Save the results as 
    output/alicloud-ai-entry-modelstudio-test-results.md
    .

结果记录模板

Result Recording Template

  • 时间：YYYY-MM-DD
  • 技能：skills/ai/entry/alicloud-ai-entry-modelstudio
  • 结论：pass / fail
  • 备注：
  • Time: YYYY-MM-DD
  • Skill: skills/ai/entry/alicloud-ai-entry-modelstudio
  • Conclusion: pass / fail
  • Remarks: