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Install in OpenClaw
/install aliyun-qvq
Description
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aliyun-qvq - After installation, invoke the skill by name or use
/aliyun-qvq - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Aliyun Qvq?
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded... It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.
How do I install Aliyun Qvq?
Run "/install aliyun-qvq" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Aliyun Qvq free?
Yes, Aliyun Qvq is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Aliyun Qvq support?
Aliyun Qvq is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Aliyun Qvq?
It is built and maintained by cinience (@cinience); the current version is v1.0.0.
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