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在 OpenClaw 中安装
/install shopping-advisor
功能描述
Shopping decision skill. Compares similar products, explains price gaps, judges whether something is worth buying, suggests better directions, flags common p...
安全使用建议
This skill appears coherent and low-risk: it only processes user-provided product data locally and outputs recommendations. Before installing or running, consider: (1) run the included scripts on sample inputs in a sandbox to verify behavior, (2) avoid piping sensitive files into the scripts (they only expect JSON product data), and (3) re-review any future updates for network calls or newly required environment variables — those would be the main signals of increased risk.
功能分析
Type: OpenClaw Skill
Name: shopping-advisor
Version: 1.0.0
The shopping-advisor skill bundle is a well-structured decision-support tool designed to help users compare products and prices. The included Python scripts (normalize.py, decide.py, analyze.py, and common.py) handle data processing locally via standard input/output, utilizing basic JSON parsing and regex-based token matching without any network requests, file system writes, or shell command execution. The SKILL.md instructions for the AI agent are strictly aligned with the stated purpose and include explicit safety boundaries that prohibit the agent from performing unauthorized actions like making purchases or payments.
能力评估
Purpose & Capability
Name/description (shopping decision helper) match the included scripts and schema: normalize -> decide -> analyze. Required capabilities (none) are proportionate to its purpose. The repository contains local Python scripts to implement the stated functionality and no unrelated cloud or admin access is requested.
Instruction Scope
SKILL.md defines a bounded workflow (collect minimal info, normalize candidates, produce a decision report). The runtime scripts only read JSON from stdin, parse/normalize product info, compute comparisons, and write JSON/text to stdout. They do not read arbitrary system files, do not open network sockets, and do not instruct the agent to access secrets or external endpoints.
Install Mechanism
No install spec is present (instruction-only installation), which is the lowest-risk pattern. The repo does include runnable Python scripts, but they are executed locally and do not pull remote code or run installers. No downloads, package installs, or extraction from untrusted URLs are used.
Credentials
The skill requests no environment variables, no credentials, and no privileged config paths. All inputs come from structured user-provided JSON (titles, URLs, price hints). There are no secrets or broad environment accesses declared or used in the code.
Persistence & Privilege
The skill does not request always:true and does not modify system or other skill configs. It runs on-demand using stdin/stdout; autonomous model invocation is allowed by platform default but the skill itself does not create persistent background services or store credentials.
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 shopping-advisor - 安装完成后，直接呼叫该 Skill 的名称或使用
/shopping-advisor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
Initial release: shopping-advisor 1.0.0
- Provides structured shopping advice: product comparison, price gap explanation, buy-worth judgment, better alternatives, and direct recommendations.
- Supports inputs including product links, titles, screenshots, and descriptions.
- Uses a defined decision process to optimize purchasing decisions, not just information sharing.
- Always ends with a clear, actionable purchase conclusion tailored to user preferences.
- Built-in minimal script flow: input normalization, decision structuring, and user-facing analysis.
元数据
常见问题
Shopping Advisor 是什么？
Shopping decision skill. Compares similar products, explains price gaps, judges whether something is worth buying, suggests better directions, flags common p... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 141 次。
如何安装 Shopping Advisor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install shopping-advisor」即可一键安装，无需额外配置。
Shopping Advisor 是免费的吗？
是的，Shopping Advisor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Shopping Advisor 支持哪些平台？
Shopping Advisor 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 Shopping Advisor？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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