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Competitor Tracker

v1.0.0

竞品价格、销量、评价、活动全方位监控。适合电商卖家、市场分析师、品牌运营。

0· 157·3 current·3 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for 275254cl-hash/competitor-tracker.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Competitor Tracker" (275254cl-hash/competitor-tracker) from ClawHub.
Skill page: https://clawhub.ai/275254cl-hash/competitor-tracker
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: python3, curl
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install competitor-tracker

ClawHub CLI

Package manager switcher

npx clawhub@latest install competitor-tracker
Security Scan
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Declared requirements (python3, curl, requests, pandas) match a lightweight scraping + data analysis workflow. However, the skill promises continuous, cross‑platform monitoring (Taobao, JD, Pinduoduo, Amazon, Douyin, Xiaohongshu, etc.) and paid tiers with hourly updates without any scheduling/infrastructure, proxy, headless browser, or authentication guidance. For many listed platforms, reliable monitoring typically requires additional tooling (headless browsers, anti‑bot handling), proxies, or API credentials; none are requested or documented here.
!
Instruction Scope
The SKILL.md is high-level and user-facing (how to ask the skill) but contains no concrete runtime instructions for safe, compliant scraping (no rate limits, no credential handling, no proxy/anti‑bot guidance, no mention of respecting robots.txt or platform ToS). That vagueness gives the agent broad discretion to fetch pages from many third‑party sites which could lead to abusive scraping patterns or require credentials the skill doesn't request.
Install Mechanism
No install spec that writes arbitrary archives to disk; metadata lists pip installs for requests and pandas which is reasonable for an instruction-only skill. This is moderate risk (pip packages are normal) but the skill does not provide code — it only suggests dependencies, so behavior depends entirely on how the agent implements scraping.
Credentials
The skill requests no environment variables or credentials, which keeps its footprint small. However, because the advertised platforms often require logins or region‑specific access, the absence of any guidance or optional credential slots is an incoherence: either the skill expects unauthenticated scraping (fragile/likely to fail or trigger anti‑bot protections) or it implicitly expects operators to supply credentials/proxies outside the declared requirements.
Persistence & Privilege
always: false and no special privileges requested. The skill is user-invocable and can be invoked autonomously (platform default) but it does not request permanent presence or modify other skills/configs.
What to consider before installing
This skill appears to be a high‑level recipe for scraping and analyzing competitor pages rather than a self-contained monitored service. Before installing, consider: (1) how will hourly/real‑time monitoring actually run — do you need a scheduler or server? (2) many listed sites implement bot protections and/or require logins — you may need proxies, headless browsers (e.g., Puppeteer), or API access; the skill does not request or document these. (3) scraping can violate site ToS and may lead to IP blocks or account suspension; prefer official APIs where available. (4) avoid supplying account credentials unless you trust the implementation; if you plan to use credentials or third‑party proxies, require explicit fields in the skill manifest and audit where they are stored. If you still want to use it, ask the author for a concrete runtime plan (how scraping is performed, rate limits, proxy/auth handling, and legal/compliance guidance) or prefer an implementation that uses official platform APIs.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

👀 Clawdis
Binspython3, curl
latestvk970cae8q6a6rtm978m6t01rmh83hfp1
157downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

竞品监控技能

全方位监控竞品的价格、销量、评价、营销活动,生成竞争分析报告。

功能

  1. 价格监控: 实时追踪竞品价格变化,发现调价策略
  2. 销量分析: 估算竞品销量,分析销售趋势
  3. 评价监控: 追踪新品评价,分析用户反馈
  4. 活动追踪: 监控竞品促销活动、优惠券发放
  5. 关键词排名: 追踪竞品在搜索结果的排名
  6. 库存监控: 监控竞品库存变化,判断销售速度
  7. 对比报告: 生成竞品对比分析报告

使用方式

添加竞品:

添加竞品监控:https://item.taobao.com/item.htm?id=xxx

查看价格历史:

查看这个商品的价格历史走势

销量分析:

分析这个竞品的月销量和趋势

评价分析:

分析竞品最近 100 条评价,找出用户最关心的点

生成报告:

生成竞品分析报告,包含价格、销量、评价对比

设置预警:

当竞品价格低于¥100 时提醒我

输出示例

👀 竞品监控报告

📊 商品对比:
┌─────────────┬──────────┬──────────┐
│ 指标        │ 你的商品  │ 竞品 A    │
├─────────────┼──────────┼──────────┤
│ 当前价格    │ ¥129     │ ¥99 ⬇️   │
│ 原价        │ ¥199     │ ¥159     │
│ 折扣力度    │ 6.5 折    │ 6.2 折    │
│ 月销量      │ 1,234    │ 3,456 🔺 │
│ 累计评价    │ 5,678    │ 12,345   │
│ 好评率      │ 98.5%    │ 97.2%    │
│ 库存        │ 500+     │ 200+ ⚠️  │
└─────────────┴──────────┴──────────┘

📈 价格历史(竞品 A):
├─ 30 天前:¥159
├─ 15 天前:¥139
├─ 7 天前:¥119
└─ 当前:¥99(历史最低)⚠️

💬 评价分析(最近 100 条):
├─ 正面关键词:
│   ├─ 质量好(32 次)
│   ├─ 物流快(28 次)
│   └─ 性价比高(25 次)
├─ 负面关键词:
│   ├─ 包装破损(8 次)⚠️
│   └─ 客服慢(5 次)
└─ 用户最关心:质量 > 价格 > 物流

🎯 竞品活动:
├─ 当前活动:满¥199 减¥30
├─ 优惠券:¥10 无门槛(剩余 3 天)
└─ 直播预告:今晚 20:00 主播带货

💡 应对建议:
1. ⚠️ 竞品价格低于你¥30,考虑跟进或强调差异化
2. ✅ 你的好评率更高,可在详情页突出
3. 📦 竞品库存紧张,可能是清仓或备货不足
4. 🎁 考虑发放¥15 优惠券应对竞争
5. 📢 竞品今晚直播,可考虑同期推广

变现模式

  • 免费:监控 3 个竞品,每日 1 次更新
  • 付费 (¥99/月):监控 20 个竞品,每小时更新 + 价格预警
  • 付费 (¥199/月):无限监控 + 定制报告 + API 访问

目标用户

  • 电商卖家(淘宝、京东、拼多多)
  • 品牌运营(市场情报)
  • 价格策略师(动态定价)
  • 采购经理(供应商比价)
  • 投资分析师(行业研究)

监控平台

  • 淘宝/天猫
  • 京东
  • 拼多多
  • 1688
  • 抖音小店
  • 小红书店铺
  • 亚马逊(跨境)

预警类型

  • 价格变动(涨/降超过 X%)
  • 库存预警(低于 X 件)
  • 新品上架
  • 差评突增
  • 活动开始/结束
  • 关键词排名变化

优势

  • ✅ 自动化监控,节省人力
  • ✅ 实时预警,快速响应
  • ✅ 数据可视化,决策支持
  • ✅ 历史数据沉淀,趋势分析

声明: 销量数据为估算值,仅供参考。价格以实际页面为准。

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