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fangshan101-coder

比货购物助手

by fangshan101-coder · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
115
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Install in OpenClaw
/install bihuo
Description
比货全网商品对比工具,从价格、品质、评价、返利等多维度对比同类商品,帮助用户做出最优购买决策。
README (SKILL.md)

比货购物助手

比货全网商品对比工具。从价格、品质、用户评价、返利比例、售后保障等多维度对比同类商品,帮助用户在海量商品中快速筛选出性价比最高的选择,做出理性消费决策。

触发词

比货、比货购物、bihuo、商品对比、哪个好、买哪个、商品比较、产品对比、性价比对比

计划实现能力

核心功能

  • 多维度对比:价格、品质、评价、销量、返利、售后等全方位对比
  • 同类商品搜索:输入商品自动搜索各平台同类竞品
  • 评价分析:汇总各平台用户真实评价,提取优缺点
  • 性价比排序:综合所有维度计算性价比评分并排序

对比维度

维度 数据来源 权重
价格 各平台实时价格
评分 用户评价综合评分
销量 月销量/总销量
返利 各渠道返利比例
售后 退换政策/运费险
品牌 品牌知名度和口碑

使用场景

  1. 选购纠结:两款类似商品不知道买哪个
  2. 跨平台比较:同商品在不同平台的综合对比
  3. 品类选购:某个品类下哪款性价比最高
  4. 避坑参考:通过评价分析避免踩坑

输出格式

⚖️ 商品对比报告

对比商品:[商品A] vs [商品B] vs [商品C]

综合评分:
  🥇 [商品A]:[X]分 ⬅ 推荐
  🥈 [商品B]:[X]分
  🥉 [商品C]:[X]分

详细对比:
  价格:[A]¥[价格] | [B]¥[价格] | [C]¥[价格]
  评分:[A][X]分 | [B][X]分 | [C][X]分
  返利:[A][X]% | [B][X]% | [C][X]%

购买建议:[分析说明]
Usage Guidance
Before installing, consider asking the developer for details about how the skill obtains its data: which e-commerce platforms/APIs it queries, whether it scrapes HTML (and if so, whether it honors robots.txt and rate limits), whether any credentials or logins are required, and how collected data is stored or transmitted. Because the SKILL.md is intentionally vague, the agent could decide to perform broad web requests or prompt you to provide platform logins later — if you need to use this safely, request explicit limits on data sources, a privacy policy, and a description of any required credentials. If you cannot obtain those details, treat the skill as higher risk and prefer alternatives that use well-documented APIs or transparent integrations.
Capability Analysis
Type: OpenClaw Skill Name: bihuo Version: 0.1.0 The skill bundle consists of metadata and documentation for a shopping comparison tool ('比货购物助手'). It contains no executable code, scripts, or suspicious instructions, focusing entirely on defining the agent's behavior for comparing product prices, reviews, and features in SKILL.md.
Capability Assessment
Purpose & Capability
Name and description describe a shopping-comparison tool; no requested binaries, env vars, or installs conflict with that purpose.
Instruction Scope
SKILL.md is high-level and instructs the agent to search '各平台实时价格' and '汇总各平台用户评价' but does not specify which platforms, APIs, or methods to use, nor does it constrain scraping behavior, rate limits, or handling of authenticated data. This vagueness grants the agent broad discretion to perform network scraping or seek credentials at runtime.
Install Mechanism
No install spec and no code files — lowest-risk delivery model; nothing will be written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths, which is proportionate for a read-only comparison assistant. However, real operation may require credentials for some platforms — the skill does not request or justify any.
Persistence & Privilege
always:false and no special privileges requested. The skill does not request persistent or cross-skill configuration changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install bihuo
  3. After installation, invoke the skill by name or use /bihuo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
初始发布
Metadata
Slug bihuo
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 比货购物助手?

比货全网商品对比工具,从价格、品质、评价、返利等多维度对比同类商品,帮助用户做出最优购买决策。 It is an AI Agent Skill for Claude Code / OpenClaw, with 115 downloads so far.

How do I install 比货购物助手?

Run "/install bihuo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 比货购物助手 free?

Yes, 比货购物助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 比货购物助手 support?

比货购物助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 比货购物助手?

It is built and maintained by fangshan101-coder (@fangshan101-coder); the current version is v0.1.0.

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