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cinience

Aliyun Qwen Rerank

by cinience · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install aliyun-qwen-rerank
Description
Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual...
README (SKILL.md)

Category: provider

Model Studio Rerank

Validation

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

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

Critical model names

Use one of these exact model strings:

  • gte-rerank-v2
  • gte-rerank
  • gte-multilingual-rerank
  • qwen3-reranker-8b
  • qwen3-reranker-4b
  • qwen3-reranker-0.6b

Quick start

python skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py \
  --query "cloud vector database" \
  --output output/aliyun-qwen-rerank/request.json

Notes

  • Use after embedding/vector retrieval to reorder candidates.
  • Prefer multilingual rerankers when query/document languages differ.

References

  • references/sources.md
Usage Guidance
This skill is lightweight and simply builds a local request.json for Alibaba Cloud rerank models — it does not contact any external service or request credentials itself. Before using it in a pipeline, verify the component that will send the request to Model Studio: that component will need Alibaba Cloud credentials and will actually transmit your queries/documents (so avoid including sensitive secrets or PII in documents unless you trust that connector). If you expect the skill to perform the network call, note it currently does not; you'll need a separate, authenticated integration to call Model Studio.
Capability Analysis
Type: OpenClaw Skill Name: aliyun-qwen-rerank Version: 1.0.0 The skill bundle is a legitimate utility for preparing request payloads for Alibaba Cloud's Model Studio rerank models. The Python script `scripts/prepare_rerank_request.py` performs basic JSON formatting without any network activity or sensitive data access, and the instructions in `SKILL.md` are consistent with standard tool usage and validation.
Capability Assessment
Purpose & Capability
The name/description promise (reranking with Alibaba Cloud Model Studio rerank models) matches the files: SKILL.md documents usage and the script constructs a rerank request payload and lists valid model names. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
SKILL.md instructions and the included Python script are narrowly scoped: they validate Python compilation, create an output directory, and write a minimal request.json containing query, model, and candidate documents. The instructions do not read other system files, call external endpoints, or access environment variables.
Install Mechanism
There is no install spec (instruction-only with a small script). Nothing is downloaded or extracted, and no external packages or package manager installs are requested.
Credentials
The skill declares no required environment variables or credentials. The behavior (preparing a local payload) does not require secrets. Note: actually sending the payload to Alibaba Cloud would require credentials, but this skill does not perform that network call or request those credentials.
Persistence & Privilege
always is false and the skill doesn't request persistent privileges or modify other skills or system-wide settings. It only writes its own output file under output/aliyun-qwen-rerank.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install aliyun-qwen-rerank
  3. After installation, invoke the skill by name or use /aliyun-qwen-rerank
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release—integrates Alibaba Cloud Model Studio rerank models: - Supports reranking for hybrid retrieval, top-k refinement, and multilingual relevance sorting. - Compatible with six critical models, including gte-rerank and qwen3-reranker variants. - Provides a validation script to ensure proper setup. - Includes quick start and usage notes for typical rerank workflows.
Metadata
Slug aliyun-qwen-rerank
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Aliyun Qwen Rerank?

Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual... It is an AI Agent Skill for Claude Code / OpenClaw, with 113 downloads so far.

How do I install Aliyun Qwen Rerank?

Run "/install aliyun-qwen-rerank" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aliyun Qwen Rerank free?

Yes, Aliyun Qwen Rerank is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Aliyun Qwen Rerank support?

Aliyun Qwen Rerank is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aliyun Qwen Rerank?

It is built and maintained by cinience (@cinience); the current version is v1.0.0.

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