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-qwen-multimodal-embeddinggit 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-qwen-multimodal-embedding)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-multimodal-embedding"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-multimodal-embedding/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-qwen-multimodal-embedding"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-multimodal-embedding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 14 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00056 | $0.00763 |
| Opus 5 | $0.00028 | $0.00381 |
| Sonnet 5 | $0.00011 | $0.00153 |
| Haiku 4.5 | $0.00006 | $0.00076 |
Grade A, and why
aliyun-qwen-multimodal-embedding 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Category: provider
Model Studio Multimodal Embedding
Validation
mkdir -p output/aliyun-qwen-multimodal-embedding
python -m py_compile skills/ai/search/aliyun-qwen-multimodal-embedding/scripts/prepare_multimodal_embedding_request.py && echo "py_compile_ok" > output/aliyun-qwen-multimodal-embedding/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-multimodal-embedding/validate.txt is generated.
Output And Evidence
- Save normalized request payloads, selected dimensions, and sample input references under
output/aliyun-qwen-multimodal-embedding/. - Record the exact model, modality mix, and output vector dimension for reproducibility.
Use this skill when the task needs text, image, or video embeddings from Model Studio for retrieval or similarity workflows.
Critical model names
Use one of these exact model strings as needed:
qwen3-vl-embeddingqwen2.5-vl-embeddingtongyi-embedding-vision-plus-2026-03-06
Selection guidance:
- Prefer
qwen3-vl-embeddingfor the newest multimodal embedding path. - Use
qwen2.5-vl-embeddingwhen you need compatibility with an older deployed pipeline.
Prerequisites
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials. - Pair this skill with a vector store such as DashVector, OpenSearch, or Milvus when building retrieval systems.
Normalized interface (embedding.multimodal)
Request
model(string, optional): defaultqwen3-vl-embeddingtexts(array, optional)images(array, optional): public URLs or local paths uploaded by your client layervideos(array, optional): public URLs where supporteddimension(int, optional): e.g.2560,2048,1536,1024,768,512,256forqwen3-vl-embedding
Response
embeddings(array)dimension(int)usage(object, optional)
Quick start
python skills/ai/search/aliyun-qwen-multimodal-embedding/scripts/prepare_multimodal_embedding_request.py \
--text "A cat sitting on a red chair" \
--image "https://example.com/cat.jpg" \
--dimension 1024
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.
- 12d ago First seen · 81 lines · 56 tokens per session scan A aa759a149131
aliyun-qwen-multimodal-embedding is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 763 once invoked, about $0.0003 per session on Opus 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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