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aliyun-modelstudio-entry-testaliyun modelstudio 入门测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

3,436

周安装

139

GitHub Stars

公开资料未说明

下载量

1,079
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aliyun-modelstudio-entry-test(aliyun modelstudio 入门测试)
来源仓库:https://github.com/cinience/aliyun-modelstudio-entry-test
安装命令:
openclaw skills install aliyun-modelstudio-entry-test
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install aliyun-modelstudio-entry-test

简介

运行 Model Studio 技能的最小测试矩阵,覆盖图像、音频、视觉推理等用例。

  • 适用于验证多模态模型输出一致性、错误处理与边界条件。
  • 执行预设测试集,记录失败案例并生成回归报告。
  • 安装命令:openclaw skills install aliyun-modelstudio-entry-test;依赖测试夹具与 Mock 服务。
  • 部分测试需联网调用真实模型,建议在受控环境执行。

SKILL.md

name
aliyun-modelstudio-entry-test
description
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 reasoning, embedding, rerank, and edit variants. Use to execute one small request per skill and record results.
version
1.0.0

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

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.4%
按下载量换算975

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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