Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cinience/alicloud-skills --skill aliyun-qvqgit clone --depth 1 https://github.com/cinience/alicloud-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qvq)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qvq"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qvq/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qvq"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qvq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00293 |
| Opus 5.5 | $0.00015 | $0.00117 |
| Sonnet 5.5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
aliyun-qvq scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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/aliyun-qvq/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
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 47 lines · 37 tokens per session scan A 9114a1c61385
aliyun-qvq is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 293 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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