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275254cl-hash

Keyword Rank Monitor

by 275254cl-hash · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install keyword-rank-monitor
Description
关键词排名追踪、SEO 分析、搜索趋势监控、竞品关键词对比。适合电商卖家、SEO 从业者、内容运营。
README (SKILL.md)

关键词排名监控技能

追踪关键词在淘宝、京东、百度、抖音等平台的搜索排名,分析 SEO 效果。

功能

  1. 排名追踪: 实时监控关键词排名变化
  2. 搜索趋势: 分析关键词热度趋势
  3. 竞品对比: 对比竞品关键词排名
  4. 长尾词挖掘: 发现低竞争高价值长尾词
  5. SEO 建议: 基于排名数据提供优化建议
  6. 预警通知: 排名大幅波动时提醒

使用方式

添加关键词监控:抗老精华(淘宝搜索)
查看这个关键词的排名历史:[关键词]
帮我找护肤品的长尾关键词
分析竞品在哪些关键词上排名比我高
设置排名预警:跌出前 10 名时提醒

输出示例

🔍 关键词排名报告

📊 排名追踪(你的商品):
┌─────────────┬───────┬───────┬───────┐
│ 关键词      │ 昨日  │ 今日  │ 变化  │
├─────────────┼───────┼───────┼───────┤
│ 抗老精华    │ 8     │ 6     │ ↑2    │
│ 敏感肌精华  │ 15    │ 12    │ ↑3    │
│ 平价精华    │ 23    │ 25    │ ↓2    │
│ 学生党精华  │ 5     │ 5     │ -     │
└─────────────┴───────┴───────┴───────┘

📈 搜索趋势(抗老精华):
├─ 7 日平均搜索量:125,000
├─ 趋势:上升 +15% 🔺
├─ 竞争度:中等(62/100)
└─ 最佳排名:第 3 名(历史)

🎯 竞品对比:
┌─────────────┬───────┬───────┐
│ 竞品        │ 排名  │ 差距  │
├─────────────┼───────┼───────┤
│ 竞品 A      │ 3     │ -3    │
│ 竞品 B      │ 5     │ -1    │
│ 你的商品    │ 6     │ -     │
│ 竞品 C      │ 9     │ +3    │
└─────────────┴───────┴───────┘

💡 长尾词推荐:
├─ 25 岁抗老精华(搜索 8500,竞争低)⭐
├─ 敏感肌抗老(搜索 12000,竞争中)
└─ 平价抗老精华(搜索 25000,竞争高)

📋 优化建议:
1. ✅ 标题加入"25 岁"更精准
2. ✅ 增加"敏感肌"相关描述
3. 📝 优化主图点击率
4. 💰 考虑投放"抗老精华"直通车

变现模式

  • 免费:监控 5 个关键词,每日 1 次更新
  • 付费 (¥79/月):监控 50 个关键词,每小时更新 + 预警
  • 付费 (¥149/月):无限监控 + 竞品对比 + API 访问

声明: 排名数据为估算值,受个性化推荐影响,仅供参考。

Usage Guidance
Before installing or enabling this skill, ask the author for concrete runtime details: (1) How does it obtain ranking data for each platform? Does it require login cookies, API keys, or a paid data provider? (2) Where are results and alerts sent (email, webhook, third‑party API)? If alerts/webhooks require you to provide endpoints or credentials, know where those go. (3) For the paid/API tiers, what endpoint accepts the data and how is access authenticated? (4) If the skill scrapes websites, confirm it respects terms of service and rate limits — scraping can lead to account blocks. Because the SKILL.md is high‑level with no executable code, request the actual scripts or a more detailed spec; inspect any code before supplying credentials. If you must proceed without more detail, avoid providing platform credentials or private webhooks until you understand where data is transmitted.
Capability Analysis
Type: OpenClaw Skill Name: keyword-rank-monitor Version: 1.0.0 The skill bundle contains only metadata and documentation for an SEO keyword monitoring tool. The requested dependencies (requests, pandas) and system binaries (curl) are standard for web scraping and data analysis tasks, and there is no evidence of malicious code, data exfiltration, or prompt injection in the provided files (SKILL.md, _meta.json).
Capability Assessment
Purpose & Capability
Name and description match required binaries and declared pip dependencies (python3, curl, requests, pandas) which are reasonable for web scraping and data processing. However the skill claims integration with platforms (Taobao, JD, Baidu, Douyin) that commonly require authentication or specialized APIs; the SKILL.md does not request or explain any platform credentials, scraping strategy, or API clients, so it's unclear how it will achieve accurate ranking data.
Instruction Scope
The SKILL.md is high‑level and contains user-facing examples and output templates but no concrete runtime commands, file reads, or network endpoints. It therefore does not appear to request unrelated system data (good), but it's vague about how data is collected, where alerts are sent, and what external services (if any) receive the results.
Install Mechanism
This is an instruction‑only skill with no install spec that writes code to disk; the metadata suggests installing two pip packages (requests, pandas) which is proportionate and low risk. No external downloads or obscure installers are used.
Credentials
No environment variables, credentials, or config paths are requested (low immediate risk). That said, the feature set (hourly monitoring, paid API access, notifications, platform integrations) would normally require tokens, cookies, or webhook/email configuration — their absence is an unexplained omission rather than a clear sign of safety.
Persistence & Privilege
The skill is not always‑on and does not request elevated or persistent privileges. It does not claim to modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install keyword-rank-monitor
  3. After installation, invoke the skill by name or use /keyword-rank-monitor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of keyword-rank-monitor: - Track keyword rankings in real time across platforms like Taobao, JD, Baidu, and Douyin. - Analyze SEO effectiveness and keyword search trends. - Compare keyword rankings against competitors. - Discover valuable long-tail keywords and receive optimization suggestions. - Get notifications when ranking fluctuates significantly. - Free and paid monitoring tiers available; see README for usage and pricing.
Metadata
Slug keyword-rank-monitor
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Keyword Rank Monitor?

关键词排名追踪、SEO 分析、搜索趋势监控、竞品关键词对比。适合电商卖家、SEO 从业者、内容运营。 It is an AI Agent Skill for Claude Code / OpenClaw, with 129 downloads so far.

How do I install Keyword Rank Monitor?

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

Is Keyword Rank Monitor free?

Yes, Keyword Rank Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Keyword Rank Monitor support?

Keyword Rank Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Keyword Rank Monitor?

It is built and maintained by 275254cl-hash (@275254cl-hash); the current version is v1.0.0.

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