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pls-seo-auditPLS SEO 审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

69,214

周安装

2,773

GitHub Stars

1

下载量

22,406
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:pls-seo-audit(PLS SEO 审核)
来源仓库:https://github.com/mattvalenta/pls-seo-audit
安装命令:
openclaw skills install pls-seo-audit
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 pls-seo-audit

简介

扫描网站和内容以识别 SEO 差距,分析元标签、技术因素、关键字使用,并提供竞争对手比较见解。

SKILL.md

name
seo-audit
description
Scan content and websites for SEO gaps, identify opportunities to outrank competitors. Use when: (1) Analyzing page SEO, (2) Checking meta tags and structured data, (3) Reviewing content for keyword optimization, (4) Auditing technical SEO factors.

SEO Audit

Comprehensive SEO analysis for content and websites.

Quick Audit Checklist

On-Page SEO

- [ ] Title tag (50-60 chars, keyword near front)
- [ ] Meta description (150-160 chars, compelling)
- [ ] H1 tag (one per page, includes target keyword)
- [ ] H2-H6 hierarchy (logical structure)
- [ ] Image alt text (descriptive, keyword-relevant)
- [ ] Internal links (3-5 per page minimum)
- [ ] URL structure (short, descriptive, hyphens)
- [ ] Canonical tags (prevent duplicate content)

Technical SEO

- [ ] Page speed (<3s load time)
- [ ] Mobile-friendly (responsive design)
- [ ] HTTPS (SSL certificate valid)
- [ ] XML sitemap (submitted to Search Console)
- [ ] Robots.txt (properly configured)
- [ ] Structured data (Schema.org markup)
- [ ] Core Web Vitals (LCP, FID, CLS)

Content Quality

- [ ] Keyword in first 100 words
- [ ] Content length matches intent
- [ ] No keyword stuffing (<2% density)
- [ ] Readable (Flesch-Kincaid score)
- [ ] Unique value (not duplicate content)
- [ ] Fresh content (updated regularly)

Technical SEO Commands

Page Speed Analysis

# Using PageSpeed Insights API
curl "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=https://example.com&strategy=mobile"

# Using lighthouse locally
npx lighthouse https://example.com --view

Check Robots.txt

curl https://example.com/robots.txt

Check Sitemap

curl https://example.com/sitemap.xml | xmllint --format -

SSL Certificate Check

openssl s_client -connect example.com:443 -servername example.com 2>/dev/null | openssl x509 -noout -dates

Mobile-Friendly Test

# Google's Mobile-Friendly Test API
curl "https://searchconsole.googleapis.com/v1/urlTestingTools/mobileFriendlyTest:run?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Content Analysis

Keyword Density

import re
from collections import Counter

def keyword_density(text, keyword):
    words = re.findall(r'\b\w+\b', text.lower())
    keyword_count = text.lower().count(keyword.lower())
    density = (keyword_count / len(words)) * 100
    return {
        "keyword": keyword,
        "count": keyword_count,
        "total_words": len(words),
        "density": f"{density:.2f}%"
    }

# Target: 1-2% density

Readability Score

import textstat

text = "Your content here..."

flesch = textstat.flesch_reading_ease(text)
# 90-100: Very Easy
# 60-70: Standard
# 0-30: Very Difficult

grade = textstat.flesch_kincaid_grade(text)
# Target: 8-9 for general audience

Content Structure Analysis

from bs4 import BeautifulSoup

def analyze_headings(html):
    soup = BeautifulSoup(html, 'html.parser')
    headings = {
        'h1': soup.find_all('h1'),
        'h2': soup.find_all('h2'),
        'h3': soup.find_all('h3'),
    }
    
    issues = []
    if len(headings['h1']) == 0:
        issues.append("Missing H1 tag")
    elif len(headings['h1']) > 1:
        issues.append("Multiple H1 tags (should be one)")
    
    return {
        "counts": {k: len(v) for k, v in headings.items()},
        "issues": issues
    }

Meta Tag Analysis

Extract Meta Tags

from bs4 import BeautifulSoup
import requests

def audit_meta_tags(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    title = soup.find('title')
    description = soup.find('meta', attrs={'name': 'description'})
    keywords = soup.find('meta', attrs={'name': 'keywords'})
    
    issues = []
    
    if not title or len(title.text) < 30:
        issues.append("Title too short or missing")
    elif len(title.text) > 60:
        issues.append("Title too long (>60 chars)")
    
    if not description:
        issues.append("Meta description missing")
    elif len(description.get('content', '')) < 120:
        issues.append("Meta description too short")
    elif len(description.get('content', '')) > 160:
        issues.append("Meta description too long")
    
    return {
        "title": title.text if title else None,
        "description": description.get('content') if description else None,
        "issues": issues
    }

Structured Data Check

Validate Schema Markup

# Using Google's Rich Results Test
curl "https://searchconsole.googleapis.com/v1/urlTestingTools/richResultsTest:run" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Common Schema Types

// Article
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Title",
  "author": {"@type": "Person", "name": "Author"},
  "datePublished": "2026-01-01"
}

// Local Business
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Business Name",
  "address": {"@type": "PostalAddress", "streetAddress": "123 Main"},
  "telephone": "+1-555-555-5555"
}

// FAQ
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "Question?",
    "acceptedAnswer": {"@type": "Answer", "text": "Answer"}
  }]
}

Competitor Analysis

Compare Page Metrics

import requests
from bs4 import BeautifulSoup

def compare_seo(target_url, competitor_url):
    def get_metrics(url):
        r = requests.get(url)
        soup = BeautifulSoup(r.text, 'html.parser')
        return {
            "title_len": len(soup.find('title').text) if soup.find('title') else 0,
            "h1_count": len(soup.find_all('h1')),
            "h2_count": len(soup.find_all('h2')),
            "word_count": len(soup.get_text().split()),
            "images": len(soup.find_all('img')),
            "images_no_alt": len([i for i in soup.find_all('img') if not i.get('alt')])
        }
    
    return {
        "target": get_metrics(target_url),
        "competitor": get_metrics(competitor_url)
    }

SEO Audit Report Template

# SEO Audit Report

## Summary
- **Score:** X/100
- **Critical Issues:** X
- **Warnings:** X
- **Passed:** X

## Critical Issues
1. [Issue description]
   - Impact: [High/Medium/Low]
   - Fix: [Recommended action]

## Technical SEO
| Factor | Status | Notes |
|--------|--------|-------|
| Page Speed | ⚠️ | 4.2s load time |
| Mobile | ✅ | Responsive |
| HTTPS | ✅ | Valid SSL |
| Sitemap | ✅ | Submitted |

## On-Page SEO
| Factor | Status | Notes |
|--------|--------|-------|
| Title | ✅ | 55 chars |
| Meta Desc | ⚠️ | Too short |
| H1 | ✅ | Present |
| Images | ⚠️ | 3 missing alt |

## Recommendations
1. [Priority 1]
2. [Priority 2]
3. [Priority 3]

适合场景

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用户想查找某类 Agent Skill 时

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.55%
按下载量换算16,031

安全审计

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通过

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可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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