← Back to Skills Marketplace
fangshan101-coder

大淘客选品工具

by fangshan101-coder · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
136
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install dataoke
Description
大淘客淘宝客选品与数据服务工具,提供高佣商品筛选、实时榜单、选品数据分析,是淘客推广的基础设施级工具。
README (SKILL.md)

大淘客选品工具

大淘客淘宝客选品与数据服务工具。作为国内淘客行业的基础设施级服务商,提供高佣商品库、实时销量榜单、佣金数据分析等选品工具,帮助淘客推广者高效选品和推广。

触发词

大淘客、大淘客选品、dataoke、淘客选品、淘客工具、高佣商品库、淘客数据

计划实现能力

  • 高佣商品库:实时更新的高佣金商品数据库
  • 实时榜单:销量榜、佣金榜、新品榜等多维榜单
  • 选品分析:商品佣金趋势、销量数据、竞品分析
  • API对接:为淘客系统提供商品数据API接口

输出格式

📦 大淘客选品推荐

热门高佣 TOP5:
① [商品名] | 佣金[X]% | 月销[N]件
② [商品名] | 佣金[X]% | 月销[N]件
③ [商品名] | 佣金[X]% | 月销[N]件
④ [商品名] | 佣金[X]% | 月销[N]件
⑤ [商品名] | 佣金[X]% | 月销[N]件
Usage Guidance
This skill is a high-level specification with no code, no installation, and no requested credentials — it appears coherent and low-risk as-is. Before relying on it for live data, confirm where the real-time product data will come from (which APIs/endpoints) and whether you must supply API keys or credentials. Only provide secrets if you trust the upstream data provider and have a privacy/process statement. Because the source/homepage are unknown, prefer installing only after verifying the author or asking for implementation details (data sources, auth, and privacy) and testing in a safe environment.
Capability Analysis
Type: OpenClaw Skill Name: dataoke Version: 0.1.0 The skill bundle contains only metadata and documentation for a Taobao affiliate marketing tool (Dataoke). There is no executable code, network activity, or suspicious instructions present in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name and description match the declared capabilities (high-commission product lists, ranking, analysis, API integration). However, the SKILL.md is purely a high-level spec and does not include any concrete integration steps or required credentials for the promised 'API对接' or real-time data — this is not inherently malicious but is vague and will require additional configuration (API keys / endpoints) to deliver real-time data.
Instruction Scope
Runtime instructions are high-level only (features, trigger words, and an output template). The instructions do not tell the agent to read local files, environment variables, or transmit data to third-party endpoints. The document is vague about where data comes from, which gives the agent broad discretion but does not itself include risky actions.
Install Mechanism
No install spec and no code files are present, which minimizes risk — nothing is written to disk or automatically installed by the skill package.
Credentials
The skill declares no required environment variables, credentials, or config paths. If you later connect it to real-time APIs, you should expect API keys or tokens; those are not requested here.
Persistence & Privilege
The skill is not marked 'always' and uses default invocation behavior. It does not request elevated or persistent system privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dataoke
  3. After installation, invoke the skill by name or use /dataoke
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
初始发布
Metadata
Slug dataoke
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 大淘客选品工具?

大淘客淘宝客选品与数据服务工具,提供高佣商品筛选、实时榜单、选品数据分析,是淘客推广的基础设施级工具。 It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.

How do I install 大淘客选品工具?

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

Is 大淘客选品工具 free?

Yes, 大淘客选品工具 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 大淘客选品工具 support?

大淘客选品工具 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 大淘客选品工具?

It is built and maintained by fangshan101-coder (@fangshan101-coder); the current version is v0.1.0.

💬 Comments