AI SEO Optimizer Pro

v1.0.0

企业级SEO工具，提供关键词研究、内容优化、排名追踪及自动内链建议，助力提升网站搜索排名和流量。

⭐ 0· 103·0 current·0 all-time

by@lvjunjie-byte·duplicate of @lvjunjie-byte/ai-seo-optimizer-pro

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for lvjunjie-byte/ai-seo-optimizer-lvjunjie.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "AI SEO Optimizer Pro" (lvjunjie-byte/ai-seo-optimizer-lvjunjie) from ClawHub.
Skill page: https://clawhub.ai/lvjunjie-byte/ai-seo-optimizer-lvjunjie
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
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 ai-seo-optimizer-lvjunjie

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-seo-optimizer-lvjunjie

Security Scan

VirusTotal

Benign

View report →

OpenClaw

Suspicious

medium confidence

ℹ

Purpose & Capability

Name/description match the code: modules for keyword research, content analysis, rank tracking and internal linking exist. However multiple parts of the code use mocked/stubbed data (e.g., content fetch returns a placeholder, web-search returns simulated results, competitor analysis comments imply external API calls but only generates random/mock data). The marketing claims about real-time Google data and 'enterprise' features are disproportionate to the actual implementation.

Instruction Scope

SKILL.md instructs the agent to analyze URLs and pages, but the runtime code does not actually fetch page content or call live search APIs (ContentAnalyzer._fetchContent returns a placeholder and WebSearch._performSearch returns synthetic mock results). That mismatch means instructions/usage examples promise behavior the code will not perform. SKILL.md itself does not request unrelated files, env vars, or endpoints.

✓

Install Mechanism

No install specification or external downloads. package.json lists no dependencies. There is no installer that would fetch arbitrary remote code. This lowers technical attack surface.

✓

Credentials

The skill requests no environment variables, binaries, or config paths. No credentials are required or declared, which is proportionate to the provided (local, mock) functionality.

✓

Persistence & Privilege

Flags show always:false and normal autonomous invocation allowed. The skill does not request permanent presence or modify other skills. No elevated privileges are declared.

What to consider before installing

This package contains self-contained JS modules for SEO tasks but most network-dependent functionality is mocked/stubbed. Key points to consider before installing or paying: - Functionality mismatch: Content fetching and web search are stubbed; analyzing a real URL will not retrieve the actual page content nor perform live Google SERP queries. The README/SKILL.md marketing ("based on latest Google algorithms", "real-time competition analysis") is misleading relative to the code. - Source / trust: Source/homepage are unknown or placeholders (support@example.com, docs.example.com). The repository URL in metadata is generic. Verify the author's identity and a trustworthy upstream repository before use in production. - Low technical risk: There are no external downloads, no required environment variables, and no obvious data-exfiltration code. Still, because the implementation is mocked, do not rely on it for real SEO measurements. - Actions you can take: (1) Ask the author for a link to the canonical repo or a demo that shows live search integration. (2) Inspect or run the code in a sandbox to confirm network behavior — check whether _fetchContent and _performSearch get replaced/implemented. (3) If you need real live data, require explicit evidence of real search API integration and credentials handling (and ensure any credentials are scoped and stored securely). (4) Avoid paying or integrating this as an enterprise service until the live-data behavior is confirmed. If you want, I can: (a) point out the exact lines that are mocked/stubbed, (b) suggest minimal code changes to add real HTTP fetches and where to insert API keys, or (c) produce a checklist of signals to verify a trustworthy SEO skill/provider.

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

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103downloads

0stars

1versions

Updated 1mo ago

v1.0.0

MIT-0

AI-SEO-Optimizer - 专业 SEO 优化技能

企业级 SEO 分析与优化引擎，提供关键词研究、内容优化、排名追踪和自动内链建议。

功能特性

🔍 关键词研究

长尾关键词挖掘
竞争难度分析
搜索量趋势预测
关键词机会评分

📝 内容优化建议

SEO 分数评估
关键词密度分析
可读性优化
元标签优化建议
内容结构改进

📊 排名追踪

关键词排名监控
竞争对手对比
历史趋势分析
自动报告生成

🔗 自动内链建议

智能内容关联
锚文本优化
链接权重分配
内部链接结构优化

使用方式

关键词研究

分析关键词 "[关键词]" 的 SEO 机会
研究 "[行业]" 相关的长尾关键词
"[关键词]" 的竞争难度如何？

内容优化

优化这篇文章的 SEO：[文章内容]
分析这个页面的 SEO 分数：[URL]
给我内容优化建议

排名追踪

追踪关键词 "[关键词]" 的排名
生成 SEO 排名报告
对比我和竞争对手的排名

内链建议

为这个网站生成内链建议：[URL]
优化内部链接结构
建议相关的内链锚文本

输出格式

技能返回结构化的 SEO 分析报告，包含：

执行摘要
关键指标
具体建议
优先级排序
实施步骤

定价

$129/月 - 企业级 SEO 优化服务

适用场景

内容创作者优化文章 SEO
网站管理员提升搜索排名
数字营销机构客户服务
电商产品页面优化
博客和媒体网站