What is aliyun-qwen-text-embedding?

A guide for turning text into numeric representations called embeddings with Alibaba Cloud models. These representations let software compare meanings rather than only matching exact words.

It helps create vectors for semantic search, retrieval-augmented generation, clustering, and vector databases.

It provides a consistent way to prepare embedding requests for search, retrieval, grouping, and offline processing.

aliyun-qwen-text-embedding — Skill for Codex by cinience

Install

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.

Any agent

npx skills add cinience/alicloud-skills --skill aliyun-qwen-text-embedding

Clone the repo

git clone --depth 1 https://github.com/cinience/alicloud-skills

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-text-embedding/github.svg)](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-text-embedding)

Your own site

<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-text-embedding"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-text-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-qwen-text-embedding"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-qwen-text-embedding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 344 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00038	$0.00344
Opus 5	$0.00019	$0.00172
Sonnet 5	$0.00008	$0.00069
Haiku 4.5	$0.00004	$0.00034

Measured 12d ago against content hash 37a54cd09993, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aliyun-qwen-text-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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/prepare_embedding_request.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/ai/search/aliyun-qwen-text-embedding/SKILL.md · 47 lines

What it actually says

Category: provider

Model Studio Text Embedding

Validation

mkdir -p output/aliyun-qwen-text-embedding
python -m py_compile skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py && echo "py_compile_ok" > output/aliyun-qwen-text-embedding/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-text-embedding/validate.txt is generated.

Critical model names

Use one of these exact model strings as needed:

text-embedding-v4
text-embedding-v3
text-embedding-v2
text-embedding-v1
qwen3-embedding-8b
qwen3-embedding-4b
qwen3-embedding-0.6b

Quick start

python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
  --text "Alibaba Cloud Model Studio" \
  --output output/aliyun-qwen-text-embedding/request.json

Notes

Pair this skill with skills/ai/search/aliyun-dashvector-search/ or other vector-store skills.
For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.

References

references/sources.md

Files

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.

Changes

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 · 47 lines · 38 tokens per session scan A 37a54cd09993

Subscribe to this mod's changes

aliyun-qwen-text-embedding is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 344 once invoked, about $0.0002 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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