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Aliyun Qwen Rerank

作者 cinience · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install aliyun-qwen-rerank
功能描述
Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual...
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install aliyun-qwen-rerank
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /aliyun-qwen-rerank 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug aliyun-qwen-rerank
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Aliyun Qwen Rerank 是什么?

Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 113 次。

如何安装 Aliyun Qwen Rerank?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install aliyun-qwen-rerank」即可一键安装,无需额外配置。

Aliyun Qwen Rerank 是免费的吗?

是的,Aliyun Qwen Rerank 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Aliyun Qwen Rerank 支持哪些平台?

Aliyun Qwen Rerank 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Aliyun Qwen Rerank?

由 cinience(@cinience)开发并维护,当前版本 v1.0.0。

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