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pangolinfo-amazon-listing-optimization
作者
Pangolinfo
· GitHub ↗
· v2.0.0
· MIT-0
144
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install pangolinfo-amazon-listing-optimization
功能描述
This skill serves as an advanced Amazon Listing Optimization & Copywriting Engine (powered by Pangolinfo API). It is strictly designed to craft high-conversi...
安全使用建议
This skill appears to do what it claims: it calls Pangolinfo APIs to scrape Amazon/Google SERP/external social sources and run WIPO checks. Before installing: (1) prefer providing an API key rather than your Pangolinfo account password; (2) avoid enabling the optional cache unless you want a token file at ~/.pangolinfo_api_key (the default is not to cache); (3) be aware that network requests and scraped data are sent to scrapeapi.pangolinfo.com (the stated backend); (4) the skill’s SOP suppresses raw JSON output by default, so expect summarized results rather than raw API payloads; (5) if you have privacy or billing concerns, create a separate Pangolinfo account or API key with limited credits. If you want deeper assurance, verify the Pangolinfo domain and review its privacy/terms or run the bundled self-test locally with non-sensitive credentials first.
功能分析
Type: OpenClaw Skill
Name: pangolinfo-amazon-listing-optimization
Version: 2.0.0
The skill bundle is a legitimate toolkit for Amazon listing optimization and market research. It consists of four zero-dependency Python scripts (ai_serp.py, amazon_niche.py, amazon_scraper.py, wipo.py) that interface with the Pangolinfo API. The code is well-structured, uses standard libraries (urllib), and implements responsible credential management, including opt-in local caching with restricted file permissions (0o600). The SKILL.md instructions provide a detailed, task-aligned SOP for the AI agent without any evidence of malicious prompt injection or unauthorized data access.
能力标签
能力评估
Purpose & Capability
Name/description (Amazon listing optimization, VOC scraping, WIPO checks) match the included scripts (amazon_scraper.py, ai_serp.py, amazon_niche.py, wipo.py) and the declared Pangolinfo credentials. The requested environment variables (PANGOLINFO_API_KEY or email+password) are appropriate for the upstream service.
Instruction Scope
SKILL.md and the scripts restrict actions to data collection via Pangolinfo endpoints and scraping SERP/Amazon/WIPO as documented. The SOP mandates default US marketplace/zip and silent execution of a 5-step workflow — this is a design choice that affects transparency (the agent will not surface raw JSON by default). The instructions and scripts only reference declared env vars and an optional cache file (~/.pangolinfo_api_key).
Install Mechanism
No install spec or external download URLs are used. The bundle contains zero-dependency Python scripts and a shell self-test; nothing is pulled from unknown hosts during installation.
Credentials
The skill requires Pangolinfo credentials only (API key or email/password). This is proportionate, but supplying email+password is sensitive; the scripts offer an optional caching mechanism that can write an API token to ~/.pangolinfo_api_key if explicitly enabled.
Persistence & Privilege
always is false and the skill is user-invocable. The skill does not request elevated platform privileges or modify other skills. Optional token caching writes only to the invoking user's home directory when explicitly enabled.
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-listing-optimization - 安装完成后，直接呼叫该 Skill 的名称或使用
/pangolinfo-amazon-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
v2.0.0
- Minor correction in negative boundaries: niche-finding route changed from `pangolinfo-amazon-product-discovery` to `pangolinfo-amazon-product-explorer`.
- Added `emoji` and `os` fields under metadata to improve compatibility and display.
- No logic or script functionality changes; all bundled APIs and system prompts remain unchanged.
- Updated tags format for consistency.
- Version remains at 2.0.0.
v1.0.1
Major restructuring: migrated to a flat, unified script structure and simplified skill packaging.
- All bundled tools are now located under a single scripts/ directory (no nested skill folders).
- Removed legacy sub-skill folders and merged their functionality into standalone scripts (ai_serp.py, amazon_scraper.py, amazon_niche.py, wipo.py).
- Updated documentation to reference flat script paths for invocation and clarified usage for each capability.
- References and setup guides are now organized under a unified references/ directory, grouped by capability.
- Skill metadata, versioning, and onboarding instructions updated to reflect these changes and new versioning (2.0.0).
v1.0.0
Initial public release of Pangolinfo Amazon Listing Optimization.
- Provides advanced Amazon listing copywriting powered by multi-channel VOC analysis and WIPO trademark checking.
- Bundles Amazon review scraper, AI SERP for external insights, and compliance checks.
- Strictly enforces data-driven listing generation with scenario-based triggers and negative boundaries.
- Includes system prompt and SOP for deep, multi-step optimization—defaulting to Amazon US marketplace.
- Supports onboarding with user-facing multilingual welcome message and precise execution rules.
元数据
常见问题
pangolinfo-amazon-listing-optimization 是什么？
This skill serves as an advanced Amazon Listing Optimization & Copywriting Engine (powered by Pangolinfo API). It is strictly designed to craft high-conversi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 144 次。
如何安装 pangolinfo-amazon-listing-optimization？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pangolinfo-amazon-listing-optimization」即可一键安装，无需额外配置。
pangolinfo-amazon-listing-optimization 是免费的吗？
是的，pangolinfo-amazon-listing-optimization 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
pangolinfo-amazon-listing-optimization 支持哪些平台？
pangolinfo-amazon-listing-optimization 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-listing-optimization？
由 Pangolinfo（@pangolinfo）开发并维护，当前版本 v2.0.0。
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