Token导航 LogoToken导航

Agent Skill · 研究检索

taobao-competitor-analyzer(淘宝竞争对手分析器)

taobao-competitor-analyzer 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

taobao-competitor-analyzer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 4,594。

总安装 31,150周安装 1,248GitHub Stars 2下载 10,084核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:taobao-competitor-analyzer(淘宝竞争对手分析器)
来源仓库:https://github.com/harrylabsj/taobao-competitor-analyzer
安装命令:
openclaw skills install taobao-competitor-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install taobao-competitor-analyzer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

taobao-competitor-analyzer 对比淘宝商品与京东、拼多多等平台。仅依据浏览器可见证据提供购买建议。taobao-competitor-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适用于跨平台比价与购物决策辅助场景。无法访问登录后专享优惠或会员价信息。

结果仅供参考,实际成交价以平台为准。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install taobao-competitor-analyzer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

taobao-competitor-analyzer 怎么安装?

在终端执行 openclaw skills install taobao-competitor-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

taobao-competitor-analyzer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

taobao-competitor-analyzer 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

taobao-competitor-analyzer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

taobao-competitor-analyzer 用的人多吗?

公开数据是累计安装 31,150 次,近一周安装 1,248 次,下载 10,084 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

taobao-competitor-analyzer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
taobao-competitor-analyzer

淘宝竞争对手分析器 · 本页

31,1502操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
taobao-competitor-analyzer
description
Compare a Taobao product with JD.com, Pinduoduo, and Vipshop using browser-visible evidence only, then tell the user where it is actually worth buying. Use when the user wants to 查淘宝同款、比价、看竞品、分析值不值得买、判断哪个平台更划算、比较京东拼多多唯品会价格、找最低可见可比价、识别近似款风险, or get a cross-platform price check, buying recommendation, seller-risk comparison, or marketplace research report without using APIs.

Taobao Competitor Analyzer

Compare a Taobao product with the same or closest-matching listings on 京东、拼多多、唯品会 using the browser tool only. Work from a product name, collect visible listing information, and return a compact comparison with price evidence, match quality, buying recommendation, and risk notes.

What makes this skill useful:

  • It compares comparable items instead of chasing misleading low prices.
  • It explains whether a lower price depends on coupons, membership, subsidy, or group-buy.
  • It ends with a clear buy / wait / avoid recommendation instead of just a table.

When To Use

Use this skill when the user is effectively asking:

  • 这件淘宝商品别的平台多少钱
  • 有没有同款或更划算的平台
  • 京东 / 拼多多 / 唯品会 哪个更值得买
  • 这几个平台价格差这么多正常吗
  • 帮我做一个同款比价和购买建议

The skill should optimize for purchase decisions, not raw data collection.

Commerce Matrix

This skill is the cross-platform comparison node in the shopping matrix.

Prefer nearby skills when the task is narrower:

  • taobao-shopping for Taobao-only listing and seller evaluation
  • jd-shopping for trust-first self-operated buying
  • pdd-shopping for low-price and subsidy-first buying
  • tianmao for flagship-store and authenticity-first buying
  • vip for branded discount and flash-sale buying
  • alibaba-shopping when the user first needs to choose between Taobao, Tmall, and 1688

Workflow

  1. Normalize the input product name.
  2. If the input is only a Taobao-style long title, compress it into the smallest searchable core:

- brand - model / series - size / spec / count - key variant

  1. Search the exact or lightly simplified keyword on:

- 京东 - 拼多多 - 唯品会

  1. Stay in browser-driven flows only. Do not call site APIs, hidden JSON endpoints, app-only interfaces, or unofficial scrapers.
  2. Extract the top relevant visible results from each site.
  3. Prefer listings that match the same brand, model, spec, size, quantity, and packaging.
  4. Score comparability first, then judge price.
  5. End with a concrete recommendation: buy on which platform, wait, or avoid for now.

Input Rules

Require a product name as input.

Prefer one of these inputs:

  • precise product name
  • Taobao listing title
  • brand + model + spec
  • product name plus intended use, if there are multiple variants

If the product name is too broad, ask one short follow-up to narrow it, for example:

  • brand
  • model
  • size/specification
  • package count
  • flavor/color/version

Good inputs:

  • Apple AirPods Pro 2
  • 维达抽纸 3层 100抽 24包
  • 耐克 Air Zoom Pegasus 41 男款

Weak inputs that need clarification:

  • 纸巾
  • 耳机
  • 运动鞋

If the user pastes a very long Taobao title, do not ask them to rewrite it unless it is truly ambiguous. You should clean and normalize it yourself first.

Browser Execution Rules

  • Prefer the isolated OpenClaw browser unless the user explicitly asks to use their Chrome tab.
  • Start with one tab per site when practical.
  • Re-snapshot after navigation or major DOM changes.
  • If a site shows login walls, anti-bot interstitials, region prompts, or app-download overlays, use the visible web result if possible and mention the limitation.
  • If a site blocks access completely, report it instead of trying to bypass it.
  • Do not fabricate missing prices.
  • Prefer visible search/listing pages over deep product pages when one platform is unstable.
  • Capture enough evidence to justify the recommendation, not just enough to fill a table.

Search Targets

Use the standard web search pages when possible:

  • 京东: search for the product name on jd.com
  • 拼多多: search for the product name on pinduoduo.com or the visible web listing/search experience available in browser
  • 唯品会: search for the product name on vip.com

If direct site search is unstable in browser, use a public search engine query constrained to the site, then open the most relevant visible result. Example pattern:

  • site:jd.com 商品名
  • site:pinduoduo.com 商品名
  • site:vip.com 商品名

Still use browser navigation for the actual evidence collection.

Matching Rules

Treat listings as comparable only when the core attributes align.

Check, in order:

  1. Brand
  2. Product line / model
  3. Variant
  4. Size / weight / count
  5. Seller type if obvious (official flagship, self-operated, marketplace seller)

If there is no close match on a platform:

  • say 未找到足够接近的同款
  • optionally include the nearest visible alternative, clearly labeled as 近似款

Decision Rules

Use this order of judgment:

  1. Is it the same item or only a near match
  2. Is the visible price directly comparable
  3. Is the seller/store trust level similar
  4. Are coupon, membership, subsidy, or group-buy conditions required
  5. Are shipping speed and after-sales meaningfully different

Never recommend a cheaper platform when the cheaper listing is only cheaper because of:

  • lower specification
  • different quantity or packaging
  • unclear seller trust
  • member-only or coupon-after price not available to most users
  • group-buy requirement the user may not want

What To Capture Per Site

Capture only information visible on the page. Prefer the first 1-3 relevant results.

For each selected listing, collect when visible:

  • platform
  • title
  • displayed price
  • promo/discount wording
  • package/specification
  • store/seller name
  • delivery or shipping note
  • URL
  • confidence: high / medium / low
  • note about why it matches or why it is only approximate

Also capture, when visible and relevant:

  • official/self-operated/flagship indicator
  • coupon or subsidy dependency
  • group-buy requirement
  • delivery speed or shipping promise
  • return or authenticity guarantee

Output Format

Return a decision first, then the evidence table.

Start with a short verdict block:

  • 推荐平台
  • 最低可见可比价
  • 值不值得换平台
  • 主要原因
  • 风险点

Then return a concise comparison table and short notes.

Use a table like this:

平台商品标题价格规格/版本店铺匹配度备注
京东...¥.........高同品牌同规格
拼多多...¥.........中规格接近,包装不同
唯品会...¥.........低仅找到近似款

Then add:

  • 最低可见价 and platform
  • 可比性判断: high / medium / low
  • 风险提示: differences in package, seller, promo timing, membership price, shipping, or coupon requirements
  • 购买建议: 直接买 / 可等等 / 只建议在某平台买 / 暂不建议下单

Interpretation Rules

  • Do not claim a platform is cheaper unless the compared items are materially comparable.
  • Separate 标价 from coupon-after price when the page makes that distinction.
  • Mention when a price may depend on membership, flash sale, subsidy, or region.
  • If search results are noisy, prefer accuracy over completeness.
  • If Taobao is not actually the best option, say so directly.
  • If none of the results are truly comparable, explicitly say 当前不适合做强结论.
  • If the user seems purchase-ready, optimize the answer for actionability: where to buy, what to verify before paying, and what tradeoff they are accepting.

Example Requests

  • 帮我查一下“德芙黑巧克力 84g”在京东、拼多多、唯品会的价格
  • 对比一下“iPhone 16 Pro 256GB”在几个平台上的可见报价
  • 把这个淘宝商品名拿去京东、拼多多、唯品会搜同款,做个价格表
  • 这个淘宝商品有没有更便宜但靠谱的平台
  • 帮我判断这件商品有没有必要从淘宝换到京东买
  • 别只比价,也告诉我哪个平台更值得下单

Failure Handling

If one or more sites cannot be accessed or searched reliably, still return a partial result and list:

  • which site failed
  • what was attempted
  • whether the failure was due to login wall, anti-bot page, timeout, or missing web search results

If the evidence is partial, downgrade the recommendation strength:

  • 强推荐
  • 弱推荐
  • 仅供参考
  • 无法判断

Resource

  • Read references/site-notes.md when you need execution reminders for JD, Pinduoduo, and Vipshop search behavior and evidence standards.

平台分布

OpenClaw

95.93%
按下载量换算9,674

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills