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Ecommerce Product Research
作者
fanyanggod
· GitHub ↗
· v1.0.1
· MIT-0
977
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当前安装
2
版本数
在 OpenClaw 中安装
/install ecommerce-product-research
功能描述
Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds.
使用说明 (SKILL.md)
Ecommerce Product Research
Use this skill to research ecommerce products and stores through TikTok/Facebook ad signals plus product and store intelligence.
Setup
- Visit the official website at https://pipiads.com/ to view real-time dashboard data and product UI.
- Visit https://www.pipispy.com/ to get your API key and manage billing/recharge.
- Set the environment variable:
PIPIADS_API_KEY
When to Use
- Find ecommerce products heavily advertised on TikTok or Facebook
- Compare product detail, pricing, landing pages, and storefront patterns
- Research stores, advertisers, and competitive positioning
- Validate whether a product or niche is active across both platforms
When NOT to Use
- The user only wants monitoring workflows
- The user only wants natural TikTok content
- The user only wants TikTok Shop-specific analytics
Core Tools
Ads & Products
search_adsget_ad_detailsearch_productsget_product_detailsearch_adlibrary_productsget_adlibrary_product_detail
Advertisers & Stores
search_advertisersget_advertiser_detailsearch_storesget_store_detailget_store_competitionget_store_product_analysisget_store_region_analysisget_store_data_analysis
Recommended Workflow
- Start with
search_productsorsearch_adsin the target niche. - Inspect winning candidates with product and ad detail tools.
- Use advertiser and store tools to understand who is selling and how broadly they operate.
- Summarize pricing, offer pattern, landing-page structure, and competitive density.
Cost Awareness
Each API call consumes credits from your PipiAds account:
- List/Search: 1 credit per result returned
- Detail: 1 credit per request (free if queried within 3 days)
Ask for category, price band, region, and platform before running broad ecommerce queries.
安全使用建议
This skill appears coherent for PipiAds-based ecommerce research, but take these precautions before installing or using it: 1) Audit the npm package ([email protected]) — inspect its repository, maintainers, and recent release notes; avoid installing global packages unless you trust them. 2) Consider installing the helper in an isolated environment (container or dedicated VM) rather than your primary system. 3) Use a dedicated PIPIADS_API_KEY with limited scope/monitoring and check billing/credit usage (the skill notes API calls consume credits). 4) Verify the pipiads/pipispy sites and the npm package provenance if you need higher assurance. 5) Be aware the skill can invoke the helper server with your API key, so treat that key as sensitive and rotate/revoke if compromised.
功能分析
Type: OpenClaw Skill
Name: ecommerce-product-research
Version: 1.0.1
The skill is a standard integration for the PipiAds service, providing tools for ecommerce product and store research via an MCP server. It follows expected patterns for OpenClaw skills, including a global npm installation of '[email protected]' and the use of a dedicated API key (PIPIADS_API_KEY), with no evidence of malicious intent or suspicious behavior in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description ask for PipiAds-based ad and store research and the skill only requires a PIPIADS_API_KEY and npm to install a PipiAds helper server—these requirements are coherent and expected for this purpose.
Instruction Scope
SKILL.md stays on-scope: it instructs the user to set PIPIADS_API_KEY, optionally install/run the pipiads-mcp-server, and call PipiAds endpoints (search_ads, get_product_detail, etc.). It does not instruct reading unrelated files, other env vars, or exfiltrating data to unexpected endpoints.
Install Mechanism
Install is an npm global install: `npm install -g [email protected]`. This is a typical mechanism but carries the usual npm risks (running third-party code on your machine). The package is version-pinned, which helps, but you should verify the package origin, repository, and contents before installing globally.
Credentials
Only a single credential (PIPIADS_API_KEY) is required and declared as the primary credential, which matches the skill's purpose. No unrelated secrets or config paths are requested.
Persistence & Privilege
Skill does not request always:true and will not be force-included. It defines an mcpServer command to run the installed helper binary with the provided API key, which is within the skill's scope and does not modify other skills or system-wide agent settings.
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 ecommerce-product-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/ecommerce-product-research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
v1.0.1
- Updated setup instructions to clarify where to access the dashboard and obtain/manage API keys.
- Added references to the official PipiAds and PipiSpy websites for real-time data and API key management.
- No functional or API changes were made.
v1.0.0
Initial release of ecommerce-product-research skill:
- Enables ecommerce product and store research via TikTok and Facebook ad data, leveraging PipiAds.
- Provides tools to search and analyze ads, products, advertisers, and stores.
- Supports investigation of pricing, store competition, offer patterns, and market activity.
- Requires a PipiAds API key for use; setup instructions provided.
- Clear use cases and credit cost guidance included.
元数据
常见问题
Ecommerce Product Research 是什么?
Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 977 次。
如何安装 Ecommerce Product Research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ecommerce-product-research」即可一键安装,无需额外配置。
Ecommerce Product Research 是免费的吗?
是的,Ecommerce Product Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Ecommerce Product Research 支持哪些平台?
Ecommerce Product Research 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 Ecommerce Product Research?
由 fanyanggod(@fanyanggod)开发并维护,当前版本 v1.0.1。
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