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PipiAds - TikTok & Facebook Adspy Intelligence
作者
fanyanggod
· GitHub ↗
· v1.0.6
· MIT-0
274
总下载
1
收藏
0
当前安装
7
版本数
在 OpenClaw 中安装
/install pipiads
功能描述
AI-powered TikTok & Facebook Adspy and Ad Library research for ads, products, stores, landing pages, advertisers, and competitors. Find trending ads, analyze...
安全使用建议
This skill appears coherent with its advertised purpose, but it installs and runs a third‑party npm package locally. Before installing: (1) review the pipiads-mcp-server package source and publisher if possible; (2) prefer installing/running it in a container, VM, or isolated dev environment; (3) do not send sensitive or private images/data to the service; and (4) be aware npm install scripts can execute arbitrary code — treat this as a supply‑chain risk and limit use on critical machines.
功能分析
Type: OpenClaw Skill
Name: pipiads
Version: 1.0.6
The pipiads skill is a legitimate integration for the PipiAds AdSpy service, providing 73 tools for TikTok and Facebook ad research. It functions by installing a specific version of an MCP server ([email protected]) via npm and requires a user-provided API key. The documentation in SKILL.md is exceptionally transparent, explicitly detailing the trust model, data handling practices, and potential credit costs, with no evidence of malicious intent or prompt injection.
能力评估
Purpose & Capability
Name/description request an API key and run a local MCP server; the declared primaryEnv (PIPIADS_API_KEY) and required binary (npm) are consistent with installing and running the pipiads-mcp-server package to call the external PipiAds service.
Instruction Scope
SKILL.md confines runtime actions to installing/running the published npm MCP server and sending search/image queries to PipiAds. It does not instruct reading unrelated files or harvesting unrelated environment variables; it explicitly warns not to send sensitive data.
Install Mechanism
Installation is via npm ([email protected]) from the public registry. npm installs are plausible for this use case but carry moderate supply‑chain risk (install scripts may run, package code will execute locally). The skill itself recommends isolating the install.
Credentials
Only PIPIADS_API_KEY is required and is the primary credential, which is appropriate for a client that queries an external ad intelligence API. No unrelated secrets or config paths are requested.
Persistence & Privilege
always is false and the skill is user‑invocable. However, installing a global npm package persists code on the host; this is expected for the stated model but users should be aware the package will be installed and run locally.
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 pipiads - 安装完成后，直接呼叫该 Skill 的名称或使用
/pipiads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
v1.0.6
- Updated setup instructions to clarify where to get the API key ([pipispy.com](https://www.pipispy.com/)) and view the real-time dashboard ([pipiads.com](https://pipiads.com/)).
- Clarified the distinction between the official website and API portal.
- Improved verification notes to mention both pipiads.com and pipispy.com.
- No functional or code changes; documentation only.
v1.0.5
- Added a new "Trust & Execution Model" section explaining that the npm package is installed and executed locally as an MCP server.
- Clarified that npm install scripts may run, and described the local server's mediation of API access.
- Recommended reviewing the npm package and using a dedicated or isolated environment for stricter controls.
- No changes to features, tools, or integration—documentation enhancements only.
v1.0.4
- Added new installation instructions highlighting that the skill installs the npm package [email protected] as a local MCP server.
- Provided guidance on using the skill in isolated or dedicated environments for stricter security.
- Included a verification section about dependencies and npm package review for supply-chain assurance.
- Added a data handling section with reminders not to send sensitive, private, or confidential information and to use caution with image inputs.
- No changes to available tools or core functionality.
v1.0.3
- Expanded and clarified usage guidelines with new "When to Use", "When NOT to Use", "Best Practices", and "Core Workflow" sections.
- Improved and modernized the skill description and summary, emphasizing AI-powered research and analysis.
- Added a cost awareness section with guidance for avoiding unnecessary credit usage.
- Included a quick reference table mapping user intents to recommended tools.
- Restructured documentation for easier navigation and practical, real-world guidance.
- No changes were made to available tools or functionality.
v1.0.2
- Changed server installation method to use npm instead of npx.
- Added an explicit install command for pipiads-mcp-server (version 1.0.3).
- Updated server startup to use pipiads-mcp-server directly.
- No changes to functionality or available tools.
v1.0.1
Search and analyze ads, products, stores across TikTok and Facebook using PipiAds advertising intelligence API.
Find trending ads, track competitors, discover winning products, monitor ad campaigns, and perform AI-powered image search.
v1.0.0
Initial release: 73 tools covering ad spy, products, TikTok Shop, store analysis, rankings,
apps, ad monitoring, and AI image search
元数据
常见问题
PipiAds - TikTok & Facebook Adspy Intelligence 是什么？
AI-powered TikTok & Facebook Adspy and Ad Library research for ads, products, stores, landing pages, advertisers, and competitors. Find trending ads, analyze... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 274 次。
如何安装 PipiAds - TikTok & Facebook Adspy Intelligence？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pipiads」即可一键安装，无需额外配置。
PipiAds - TikTok & Facebook Adspy Intelligence 是免费的吗？
是的，PipiAds - TikTok & Facebook Adspy Intelligence 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
PipiAds - TikTok & Facebook Adspy Intelligence 支持哪些平台？
PipiAds - TikTok & Facebook Adspy Intelligence 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 PipiAds - TikTok & Facebook Adspy Intelligence？
由 fanyanggod（@fanyanggod）开发并维护，当前版本 v1.0.6。
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