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Platform Promo Radar

作者 haidong · GitHub ↗ · v1.0.1 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
143
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在 OpenClaw 中安装
/install promotion
功能描述
Cross-platform promotion radar for mainland China shopping platforms that tracks the hottest current campaigns across Taobao, Tmall, JD, PDD, VIPSHOP, and si...
安全使用建议
This skill is internally coherent and low-risk as presented: it asks the agent to inspect public campaign pages and use the bundled reference file. Before installing, confirm the agent/environment actually has the ability to fetch web pages (browsing or web-fetch tool) if you expect live snapshots. If you care about privacy or compliance, verify that the agent will not post scraped pages or user data to any external endpoint (the SKILL.md does not specify any external sinks). Also note the package has no homepage and an anonymous owner ID—if you need provenance, ask for the source repository or author contact and test the skill with non-sensitive queries first (do not provide personal payment/credential data).
功能分析
Type: OpenClaw Skill Name: promotion Version: 1.0.1 The skill is a shopping promotion analyzer for Chinese e-commerce platforms (Taobao, JD, PDD, etc.). It provides structured instructions for an AI agent to evaluate public marketing campaigns based on value and friction. Critically, the SKILL.md file includes explicit safety boundaries that forbid the agent from logging into accounts, reading private data, or performing transactions. No malicious code, data exfiltration, or harmful prompt injections were identified.
能力评估
Purpose & Capability
Name/description (promotion radar for Chinese e‑commerce) align with the SKILL.md: it instructs the agent to scan public campaign pages, normalize promotions, rank them, and produce actionable guidance. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions focus on gathering public signals (official campaign pages, platform homepages, public media, category pages), normalizing and ranking promotions, and using the included reference doc. There are no steps that ask the agent to read local files or environment variables outside the skill, nor to transmit data to unknown external endpoints.
Install Mechanism
No install spec and no code files to write or execute. Instruction-only skills are lower risk because nothing is downloaded or installed by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The requested access (public web pages and the packaged reference file) is proportionate to the advertised functionality.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or to modify other skills. Model invocation is allowed (the platform default) but that is normal for instruction-driven skills and not combined with broad credential access here.
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 promotion
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /promotion 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
v1.0.1
Add GitHub repository metadata and align the released skill bundle with the public promotion repository.
v1.0.0
Launch a cross-platform mainland China shopping promotion radar that ranks the hottest campaigns across Taobao, Tmall, JD, PDD, and VIPSHOP by real savings and friction.
元数据
Slug promotion
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Platform Promo Radar 是什么?

Cross-platform promotion radar for mainland China shopping platforms that tracks the hottest current campaigns across Taobao, Tmall, JD, PDD, VIPSHOP, and si... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 143 次。

如何安装 Platform Promo Radar?

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

Platform Promo Radar 是免费的吗?

是的,Platform Promo Radar 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Platform Promo Radar 支持哪些平台?

Platform Promo Radar 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Platform Promo Radar?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.1。

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