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在 OpenClaw 中安装
/install aliyun-qvq
功能描述
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded...
使用说明 (SKILL.md)
Category: provider
Model Studio QVQ Visual Reasoning
Validation
mkdir -p output/aliyun-qvq
python -m py_compile skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py && echo "py_compile_ok" > output/aliyun-qvq/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-multimodal-qwen-vqv/validate.txt is generated.
Critical model names
Use one of these exact model strings:
qvq-plusqvq-max
Typical use
- Mathematical reasoning from screenshots
- Diagram and chart reasoning
- Visually grounded multi-step problem solving
Quick start
python skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py \
--output output/aliyun-qvq/request.json
Notes
- Use
skills/ai/multimodal/aliyun-qwen-vl/for standard image understanding. - Use QVQ when the task explicitly needs stronger reasoning over visual evidence.
References
references/sources.md
安全使用建议
This package is a small request-generator for Alibaba Cloud QVQ but has a few problems you should resolve before installing: (1) fix the validation mismatch (SKILL.md expects a different validate.txt path than the command produces); (2) be aware the script only writes a JSON with a placeholder image and does not call Alibaba Cloud nor request credentials — if you intend to actually call Model Studio you'll need to add explicit, secure instructions for providing Alibaba Cloud credentials and confirm where network requests will be sent; (3) review any future code that sends the request to ensure credentials are stored securely and images/data sent to the cloud are acceptable for your privacy needs. If you only want a local request template this is low-risk; if you expect this skill to integrate with Alibaba Cloud, treat the current package as incomplete and audit any additional code that implements network/auth behavior.
功能分析
Type: OpenClaw Skill
Name: aliyun-qvq
Version: 1.0.0
The skill bundle is a standard integration for Alibaba Cloud's QVQ visual reasoning models. The Python script `scripts/prepare_qvq_request.py` performs safe file operations to generate a static JSON template, and the instructions in `SKILL.md` are purely functional and aligned with the stated purpose without any indicators of malicious intent or prompt injection.
能力评估
Purpose & Capability
The description claims this is for Alibaba Cloud Model Studio QVQ visual reasoning, but the package only contains a tiny request-builder script and no code or instructions to call Alibaba Cloud APIs or to provide credentials. That mismatch (claimed provider integration vs. only local payload generation) is unexplained.
Instruction Scope
SKILL.md's runtime instructions are limited to compiling and running the prepare_qvq_request.py script (which only writes a JSON with a placeholder image). However the validation section has an inconsistent pass criterion: the validation command writes output/aliyun-qvq/validate.txt but the Pass criteria references output/alicloud-ai-multimodal-qwen-vqv/validate.txt (a different path). This is an incoherent test step and should be fixed.
Install Mechanism
There is no install spec and only a small Python script is included. Nothing is downloaded or written to disk beyond running the provided script, which reduces install risk.
Credentials
The skill advertises Alibaba Cloud QVQ usage but declares no required environment variables or credentials. Real calls to Alibaba Cloud would require authentication and network access; the absence of guidance about credentials or where/when requests are sent is a gap and could lead to confusion or insecure ad-hoc handling later.
Persistence & Privilege
The skill does not request persistent/always-on presence and does not modify agent/system configs. Defaults (autonomous invocation allowed) are unchanged and acceptable for this helper skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install aliyun-qvq - 安装完成后，直接呼叫该 Skill 的名称或使用
/aliyun-qvq触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release introducing Alibaba Cloud Model Studio QVQ model skill for advanced visual reasoning tasks.
- Supports step-by-step image reasoning, chart analysis, and visually grounded problem solving.
- Compatible with `qvq-plus` and `qvq-max` model names.
- Includes validation and usage instructions for integration.
- Recommended for tasks requiring strong visual reasoning over standard image understanding.
元数据
常见问题
Aliyun Qvq 是什么？
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 Aliyun Qvq？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install aliyun-qvq」即可一键安装，无需额外配置。
Aliyun Qvq 是免费的吗？
是的，Aliyun Qvq 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Aliyun Qvq 支持哪些平台？
Aliyun Qvq 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Aliyun Qvq？
由 cinience（@cinience）开发并维护，当前版本 v1.0.0。
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