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aliyun-modelstudio-entry阿里云 modelstudio 入门

Agent Skill

aliyun-modelstudio-entry 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,938

周安装

120

GitHub Stars

公开资料未说明

下载量

941
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(阿里云 modelstudio 入门)
来源仓库:https://github.com/cinience/aliyun-modelstudio-entry
安装命令:
openclaw skills install aliyun-modelstudio-entry
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

简介

将 Model Studio 请求路由至正确的本地技能模块,实现多模态能力分发。

  • 适用于 Qwen 文本、图像、音频、视频等多种模型调用的统一入口管理。
  • 根据请求类型匹配对应 skill,转发参数并收集响应结果。
  • 安装命令:openclaw skills install aliyun-modelstudio-entry;需确保各子技能已正确安装。
  • 路由逻辑依赖配置文件,修改前应备份原有映射关系。

SKILL.md

name
aliyun-modelstudio-entry
description
Use when routing Alibaba Cloud Model Studio requests to the right local skill (Qwen text, coder, deep research, image, video, audio, search and multimodal skills). Use when the user asks for Model Studio without specifying a capability.
version
1.0.0

Category: task

Alibaba Cloud Model Studio Entry (Routing)

Route requests to existing local skills to avoid duplicating model/parameter details.

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).

Routing Table (currently supported in this repo)

NeedTarget skill
Text generation / reasoning / tool-callingskills/ai/text/aliyun-qwen-generation/
Coding / repository reasoningskills/ai/code/aliyun-qwen-coder/
Deep multi-step researchskills/ai/research/aliyun-qwen-deep-research/
Text-to-image / image generationskills/ai/image/aliyun-qwen-image/
Image editingskills/ai/image/aliyun-qwen-image-edit/
Text-to-video / image-to-video (t2v/i2v)skills/ai/video/aliyun-wan-video/
Non-Wan PixVerse video generationskills/ai/video/aliyun-pixverse-generation/
Reference-to-video (r2v)skills/ai/video/aliyun-wan-r2v/
Digital human talking / singing avatarskills/ai/video/aliyun-wan-digital-human/
Expressive portrait video (EMO)skills/ai/video/aliyun-emo/
Lightweight portrait animation (LivePortrait)skills/ai/video/aliyun-liveportrait/
Motion transfer / dancing avatar (AnimateAnyone)skills/ai/video/aliyun-animate-anyone/
Emoji / meme portrait videoskills/ai/video/aliyun-emoji/
Text-to-speech (TTS)skills/ai/audio/aliyun-qwen-tts/
Speech recognition/transcription (ASR)skills/ai/audio/aliyun-qwen-asr/
Realtime speech recognitionskills/ai/audio/aliyun-qwen-asr-realtime/
Realtime TTSskills/ai/audio/aliyun-qwen-tts-realtime/
Live speech translationskills/ai/audio/aliyun-qwen-livetranslate/
CosyVoice voice cloneskills/ai/audio/aliyun-cosyvoice-voice-clone/
CosyVoice voice designskills/ai/audio/aliyun-cosyvoice-voice-design/
Voice cloneskills/ai/audio/aliyun-qwen-tts-voice-clone/
Voice designskills/ai/audio/aliyun-qwen-tts-voice-design/
Omni multimodal interactionskills/ai/multimodal/aliyun-qwen-omni/
Visual reasoningskills/ai/multimodal/aliyun-qvq/
OCR / document parsing / table parsingskills/ai/multimodal/aliyun-qwen-ocr/
Text embeddingsskills/ai/search/aliyun-qwen-text-embedding/
Multimodal embeddingsskills/ai/search/aliyun-qwen-multimodal-embedding/
Rerankskills/ai/search/aliyun-qwen-rerank/
Vector retrievalskills/ai/search/aliyun-dashvector-search/ or skills/ai/search/aliyun-opensearch-search/ or skills/ai/search/aliyun-milvus-search/
Document understandingskills/ai/text/aliyun-docmind-extract/
Video editingskills/ai/video/aliyun-wan-edit/
Video lip-sync replacement / retalkskills/ai/video/aliyun-videoretalk/
Model list crawl/updateskills/ai/misc/aliyun-modelstudio-crawl-and-skill/

When Not Matched

  • Clarify model capability and input/output type first.
  • If capability is missing in repo, add a new skill first.

Common Missing Capabilities In This Repo (remaining gaps)

  • image translation
  • virtual try-on / digital human / advanced video personas
  • For multimodal/ASR download failures, prefer public URLs listed above.
  • For ASR parameter errors, use data URI in input_audio.data.
  • For multimodal embedding 400, ensure input.contents is an array.

Async Task Polling Template (video/long-running tasks)

When X-DashScope-Async: enable returns task_id, poll as follows:

GET https://dashscope.aliyuncs.com/api/v1/tasks/<task_id>
Authorization: Bearer $DASHSCOPE_API_KEY

Example result fields (success):

{
  "output": {
    "task_status": "SUCCEEDED",
    "video_url": "https://..."
  }
}

Notes:

  • Recommended polling interval: 15-20 seconds, max 10 attempts.
  • After success, download output.video_url.

Clarifying questions (ask when uncertain)

  1. Are you working with text, image, audio, or video?
  2. Is this generation, editing/understanding, or retrieval?
  3. Do you need speech (TTS/ASR/live translate) or retrieval (embedding/rerank/vector DB)?
  4. Do you want runnable SDK scripts or just API/parameter guidance?

References

  • Model list and links:output/alicloud-model-studio-models-summary.md
  • API/parameters/examples: see target sub-skill SKILL.md and references/*.md
  • Official source list:references/sources.md

Validation

mkdir -p output/aliyun-modelstudio-entry
echo "validation_placeholder" > output/aliyun-modelstudio-entry/validate.txt

Pass criteria: command exits 0 and output/aliyun-modelstudio-entry/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-modelstudio-entry/.
  • 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.

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

86.17%
按下载量换算811

安全审计

VirusTotal

通过

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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来源信息

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