Alicloud Ai Multimodal Qvq Test
This is a minimal test harness for validating Alibaba Cloud's QVQ multimodal AI models, which handle visual reasoning tasks. It's not a production tool but rather a developer utility that confirms the main QVQ skill is set up correctly with the right models and payload structure. You run a Python script that generates a sample request JSON, basically a sanity check before you start building with the actual multimodal skill. If you're integrating AliCloud's vision models into Claude workflows, this gives you a quick way to verify everything's wired up. It's passed security audits from three providers and has seen modest adoption at 120 installs, though as pure test infrastructure that's probably appropriate.
- skills.sh installs
- 120
- GitHub stars
- 397
- last updated
- Aug 21, 2026
Install
$ npx -y skills add cinience/alicloud-skills --skill alicloud-ai-multimodal-qvq-test --agent claude-codeInstalls into .claude/skills of the current project.
Files
This is a minimal test harness for validating Alibaba Cloud's QVQ multimodal AI models, which handle visual reasoning tasks. It's not a production tool but rather a developer utility that confirms the main QVQ skill is set up correctly with the right models and payload structure. You run a Python script that generates a sample request JSON, basically a sanity check before you start building with the actual multimodal skill. If you're integrating AliCloud's vision models into Claude workflows, this gives you a quick way to verify everything's wired up. It's passed security audits from three providers and has seen modest adoption at 120 installs, though as pure test infrastructure that's probably appropriate.
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- Repository
- github.com/cinience/alicloud-skills
- Categories
- Testing & QA, AI & Agent Building, Design & UI/UX
- First seen
- Jun 3, 2026
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