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Walmart Listing Optimization
作者
nexscope-ai
· GitHub ↗
· v1.0.0
· MIT-0
116
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install walmart-listing-optimization
功能描述
Optimize Walmart Marketplace product listings for search visibility and conversion. Covers Walmart SEO, content quality scoring, rich media, and Walmart-spec...
安全使用建议
This skill appears to do what it says (Walmart listing optimization) and does not ask for credentials, but exercise caution before following the SKILL.md's install instruction. The document tells you to run an npx command that would fetch and run code from a third party (nexscope-ai/eCommerce-Skills) while the registry record lists source as unknown. Before running that command: 1) verify the npm package and GitHub repository ownership and review the package contents or source code; 2) confirm the package version and that the publisher is the expected organization (Nexscope); 3) prefer to inspect code in a sandboxed environment rather than running it globally (-g); and 4) avoid supplying any sensitive credentials to the tool. If you want higher assurance, ask the publisher for a verified homepage or source repo and a registry install spec, or request the skill author publish code to the registry so the install mechanism matches the manifest.
功能分析
Type: OpenClaw Skill
Name: walmart-listing-optimization
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for an AI agent to assist with Walmart Marketplace listing optimization. There is no executable code, and the instructions are purely functional, aligning with the stated purpose of e-commerce SEO and content quality scoring without any indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name, description, and SKILL.md capabilities match: optimizing Walmart listings, content scoring, and comparison to other marketplaces. Supported-platforms list is broad but consistent with an e-commerce toolset.
Instruction Scope
Runtime instructions are narrowly scoped to collecting product info via follow-up questions and producing recommendations. However, the SKILL.md's 'Step 3: Research and analyze' is vague about data sources and the doc includes an 'Install' command that would fetch external code (npx nexscope-ai/eCommerce-Skills). The skill does not instruct reading local files or environment variables.
Install Mechanism
The manifest has no install spec, yet SKILL.md directs users to run 'npx skills add nexscope-ai/eCommerce-Skills --skill walmart-listing-optimization -g' and links to a Nexscope GitHub repo. That is an external install from a third party not reflected in registry metadata (source unknown). Running npx would download and execute remote code — this is a non-trivial risk and a mismatch between the registry record and the SKILL.md.
Credentials
No environment variables, credentials, or config paths are requested in the manifest or SKILL.md. Requested access appears proportionate to the stated functionality.
Persistence & Privilege
always is false and there are no indications the skill requests permanent presence or elevated agent-wide privileges. Autonomous invocation is permitted by default (not a concern on its own).
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install walmart-listing-optimization - 安装完成后,直接呼叫该 Skill 的名称或使用
/walmart-listing-optimization触发 - 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
元数据
常见问题
Walmart Listing Optimization 是什么?
Optimize Walmart Marketplace product listings for search visibility and conversion. Covers Walmart SEO, content quality scoring, rich media, and Walmart-spec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 116 次。
如何安装 Walmart Listing Optimization?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install walmart-listing-optimization」即可一键安装,无需额外配置。
Walmart Listing Optimization 是免费的吗?
是的,Walmart Listing Optimization 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Walmart Listing Optimization 支持哪些平台?
Walmart Listing Optimization 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 Walmart Listing Optimization?
由 nexscope-ai(@nexscope)开发并维护,当前版本 v1.0.0。
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