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pangolinfo-amazon-product-explorer
作者
Pangolinfo
· GitHub ↗
· v2.0.0
· MIT-0
175
总下载
0
收藏
0
当前安装
5
版本数
在 OpenClaw 中安装
/install pangolinfo-amazon-product-explorer
功能描述
This skill serves as an advanced Amazon Product Discovery and Market Research Engine (powered by Pangolinfo API). It executes a complex, multi-step Go-To-Mar...
安全使用建议
This skill appears to do what it claims: it will send queries and your Pangolinfo credential to pangolinfo's API endpoints. Before installing: (1) Prefer providing a Pangolinfo API key rather than your account email+password; if you must use credentials, consider creating a dedicated Pangolinfo account or scoped API key. (2) Confirm you trust https://pangolinfo.com and its API domain (scrapeapi.pangolinfo.com) and understand that API requests may consume credits (docs list per-call credit costs). (3) Be aware the package can optionally cache an API key to ~/.pangolinfo_api_key if caching is enabled—verify you want that behavior. (4) If you do not want the agent to call the service autonomously, disable or restrict autonomous skill invocation. (5) The registry metadata slightly overstates required env vars; follow the SKILL.md guidance (API key OR email+password).
功能分析
Type: OpenClaw Skill
Name: pangolinfo-amazon-product-explorer
Version: 2.0.0
The skill bundle is a legitimate market research toolkit for Amazon sellers, providing a suite of Python scripts (ai_serp.py, amazon_scraper.py, amazon_niche.py, wipo.py) to interface with the Pangolinfo API. The code is well-structured, uses standard libraries (urllib), and implements security best practices such as restricted file permissions (0o600) when caching API keys locally. The SKILL.md instructions define a complex but focused Go-To-Market SOP that aligns entirely with the stated purpose of product discovery and risk screening, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力标签
能力评估
Purpose & Capability
The name/description promise Amazon product discovery via the Pangolinfo data engine and the bundled scripts make outbound calls to pangolinfo endpoints (scrapeapi.pangolinfo.com) matching that purpose. Minor inconsistency: registry metadata lists PANGOLINFO_API_KEY, PANGOLINFO_EMAIL, and PANGOLINFO_PASSWORD as 'required', while SKILL.md and the scripts indicate an API key OR email+password are acceptable (API key is recommended). This is a documentation/metadata mismatch, not a capability mismatch.
Instruction Scope
SKILL.md SOP and the scripts limit actions to querying Pangolinfo APIs, parsing results, and optional local caching. The SOP mandates language detection and defaults (Amazon US, zip 90001). There are no instructions to read unrelated files, harvest system secrets, or transmit data to endpoints other than Pangolinfo. The scripts reference a per-user cache file (~/.pangolinfo_api_key) but caching is opt-in and currently disabled by default in the code.
Install Mechanism
No install spec or external downloads; the package is a flat set of zero-dependency Python scripts using the standard library (urllib). Nothing is fetched from arbitrary URLs or written to nonstandard system locations by default.
Credentials
The only credentials requested are Pangolinfo credentials (API key or email+password), which are proportional to the described functionality. The minor issue: registry metadata implies all three env vars are required, whereas SKILL.md and the clients accept either an API key OR email+password. Users should avoid pasting credentials into public places and prefer using an API key.
Persistence & Privilege
The skill is not forced-always and uses normal autonomous-invocation defaults. It does not request elevated system privileges. Scripts may optionally persist an API key to ~/.pangolinfo_api_key if caching is explicitly enabled; by default the code disables disk caching (CACHE_TO_DISK = False).
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 pangolinfo-amazon-product-explorer - 安装完成后，直接呼叫该 Skill 的名称或使用
/pangolinfo-amazon-product-explorer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
v2.0.0
Version 2.0.0 (pangolinfo-amazon-product-explorer):
- Skill renamed from "pangolinfo-amazon-product-discovery" to "pangolinfo-amazon-product-explorer".
- Updated tags, metadata, and versioning to reflect new branding.
- Minor changes to frontmatter for improved clarity and compatibility (added emoji, OS list in metadata).
- No logic or script-level changes detected; all bundled tool capabilities and usage guidance remain unchanged.
- Documentation and system prompt content are functionally consistent with the previous version.
v1.0.7
Major update: migrated to a flat "Super Skill" structure and improved invocation workflow.
- Refactored project to a single root skill with all capabilities under `scripts/` (no more sub-skill directories).
- Simplified invocation: all Amazon, SERP, and WIPO research tasks now use top-level scripts for easier integration and maintenance.
- Updated and centralized documentation; added detailed reference guides for each script in the new `references/` folder.
- Streamlined authentication: all tools share the same credentials with no redundant prompts.
- Updated onboarding and system prompt with precise rules and improved clarity for user guidance.
- Version bumped from 1.0.x to 2.0.0 to reflect breaking directory/layout changes.
v1.0.6
**Major update: Bundles a comprehensive Amazon product discovery and market research suite by integrating multiple advanced sub-skills.**
- Introduced the "amazon-product-discovery" super skill, merging Amazon Niche & Search, Amazon Scraper, AI-enhanced Google SERP, and WIPO trademark compliance checks.
- Added 4 full sub-skills under `skills/` (pangolinfo-ai-serp, pangolinfo-amazon-niche, pangolinfo-amazon-scraper, pangolinfo-wipo) with individual documentation and references.
- Defined strict boundaries for usage (GTM research, new product and niche validation, consumer pain-point analysis, and compliance)—routes unrelated requests to appropriate tools.
- Provided a detailed skill SOP and system prompt for autonomous, multi-step market research workflows.
- All bundled sub-skills now share unified authentication. Setup and credentials are standardized across all tools.
v1.0.5
amazon-product-discovery v1.0.2
- Initial release of a "Super Skill" for advanced Amazon product discovery and market research, powered by Pangolinfo API.
- Bundles four key tools: Amazon Niche & Search, Amazon Scraper (ASIN/Reviews), AI-powered Google SERP, and WIPO Trademark Check.
- Strictly focused on new product development, niche validation, pain-point extraction, and compliance screening (not for daily tracking or listing optimization).
- Features a detailed SOP for multi-step go-to-market research workflows.
- Includes built-in onboarding and clear usage boundary rules.
- Supports language adaptation and multiple agent frameworks (OpenClaw, easily portable to LangGraph/CrewAI).
v1.0.0
amazon-product-discovery 1.0.2 — Initial Release
- Launches a comprehensive Amazon Product Discovery and Market Research Engine powered by Pangolinfo API.
- Bundles four core sub-skills: Amazon Niche & Search, Amazon Scraper (ASIN/Reviews), AI SERP (Google), and WIPO Trademark Check.
- Designed specifically for Zero-to-One new product development, niche validation, monopoly analysis, consumer pain-point extraction, and compliance risk screening.
- Includes strict rules for when to use or not use the skill, supporting detailed, data-driven GTM research workflows.
- Compatible with OpenClaw and LangGraph/CrewAI agent frameworks.
元数据
常见问题
pangolinfo-amazon-product-explorer 是什么？
This skill serves as an advanced Amazon Product Discovery and Market Research Engine (powered by Pangolinfo API). It executes a complex, multi-step Go-To-Mar... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 175 次。
如何安装 pangolinfo-amazon-product-explorer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pangolinfo-amazon-product-explorer」即可一键安装，无需额外配置。
pangolinfo-amazon-product-explorer 是免费的吗？
是的，pangolinfo-amazon-product-explorer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
pangolinfo-amazon-product-explorer 支持哪些平台？
pangolinfo-amazon-product-explorer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux）。
谁开发了 pangolinfo-amazon-product-explorer？
由 Pangolinfo（@pangolinfo）开发并维护，当前版本 v2.0.0。
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