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Product Research
作者
beyondbright
· GitHub ↗
· v1.0.0
· MIT-0
68
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install walter-product-research
功能描述
Conducts Amazon product research by analyzing market size, competition, profit margins, competitors, and risks to provide GO/NO-GO recommendations.
安全使用建议
This skill implements an Amazon product-research workflow but relies on an external 'unified_data_layer_v2' and SellerSprite API. Before installing or running it: (1) ask the author to declare required environment variables (API keys/tokens) and document endpoints; (2) request and review the unified_data_layer_v2 and sellersprite_mcp source to confirm where requests go and how credentials are used; (3) note the code alters sys.path to import modules from parent directories — run it in a sandbox or isolated environment to avoid importing unexpected code; (4) do not provide production API credentials until you verify the data-layer code and the remote endpoints; and (5) if you can't review the missing modules, prefer a safer alternative or ask the publisher to bundle audited connectors and declare required env vars in the skill manifest.
功能分析
Type: OpenClaw Skill
Name: walter-product-research
Version: 1.0.0
The skill bundle provides legitimate Amazon product research functionality, including market analysis, profit calculation, and competitor discovery. The code in `scripts/product_research.py` and `scripts/test_logic.py` is well-structured, lacks any signs of data exfiltration or malicious execution, and uses a modular data layer for API interactions consistent with its stated purpose.
能力评估
Purpose & Capability
The skill claims to perform Amazon product research and the code implements that using a data layer and SellerSprite API. However the package metadata declares no required environment variables or credentials even though the SKILL.md and code depend on an external data layer (unified_data_layer_v2) and SellerSprite API access. Not declaring the needed API credentials is an inconsistency.
Instruction Scope
SKILL.md describes a bounded analysis workflow and the code follows it. However the runtime code injects a sys.path entry that points three directories up into a 'scripts' folder to import unified_data_layer_v2, which means the skill will try to import code from outside its own bundle at runtime — this increases the attack surface and can cause the agent to execute unexpected code. The instructions do not disclose where the data layer will send network requests or which credentials it expects.
Install Mechanism
There is no install spec (instruction-only with included code files). Nothing is downloaded at install time. Risk comes from runtime imports and the external data-layer dependency rather than an installer.
Credentials
No environment variables or primary credential are declared, yet the SKILL.md lists 'SellerSprite API access' as a dependency and the code calls external APIs via a data layer. This mismatch means the skill will likely require API keys/credentials that are not declared or explained, which is disproportionate and opaque.
Persistence & Privilege
The skill does not request persistent/always-on presence (always:false) and does not modify agent/system configuration in the provided code. The main privilege-related risk is autonomous runtime network access via the external data layer, not persistent installation.
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 walter-product-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/walter-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
v1.0.0
walter-product-research 1.0.0
- 首次发布亚马逊选品调研工具。
- 支持全流程：快速扫描、市场分析、利润测算、竞品发现、风险评估。
- 输出决策报告（GO/NO-GO）、市场和竞品关键数据、详细分析链路。
- 适用于“这个想法能不能做”等场景。
- 依赖统一数据层和SellerSprite API。
元数据
常见问题
Product Research 是什么？
Conducts Amazon product research by analyzing market size, competition, profit margins, competitors, and risks to provide GO/NO-GO recommendations. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 68 次。
如何安装 Product Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install walter-product-research」即可一键安装，无需额外配置。
Product Research 是免费的吗？
是的，Product Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Product Research 支持哪些平台？
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 Product Research？
由 beyondbright（@beyondbright）开发并维护，当前版本 v1.0.0。
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