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30x-seo-backlinks

@norahe0304-art · 收录于 1 周前

Comprehensive backlink analysis using DataForSEO API. Analyze backlink profiles, find link building opportunities, detect toxic links, compare with competitors, and identify link gaps. Use when user says "backlinks", "link building", "referring domains", "link profile", "toxic links", "link gap", "competitor links", or "domain authority".

适合你,如果正在做SEO外链建设或竞品链接分析

/ 下载安装
30x-seo-backlinks.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add norahe0304-art/30x-seo/30x-seo-backlinks
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- norahe0304-art/30x-seo/30x-seo-backlinks
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify norahe0304-art/30x-seo/30x-seo-backlinks
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · bb60a06

SEO Backlinks Analysis

Comprehensive backlink analysis and link building intelligence using DataForSEO API via direct curl calls.

API Configuration

Credentials stored in ~/.config/dataforseo/auth (Base64 encoded).

# Read auth token
AUTH=$(cat ~/.config/dataforseo/auth)
Quick Reference

| Command | What it does | |---------|-------------| | /seo backlinks profile <domain> | Full backlink profile analysis | | /seo backlinks compare <domain1> <domain2> | Compare two domains' backlink profiles | | /seo backlinks gap <your-domain> <competitor1> [competitor2] | Find link gap opportunities | | /seo backlinks toxic <domain> | Identify potentially toxic/spammy links | | /seo backlinks anchors <domain> | Analyze anchor text distribution | | /seo backlinks trend <domain> | New/lost backlinks over time | | /seo backlinks competitors <domain> | Find competitors by backlink overlap |

API Endpoints
Backlink Summary
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/summary/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com"}]'
Get Backlinks
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/backlinks/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com", "limit": 100, "order_by": ["rank,desc"]}]'
Anchor Text Analysis
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/anchors/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com", "limit": 100}]'
Bulk Backlinks (Multiple Domains)
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/bulk_backlinks/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"targets": ["domain1.com", "domain2.com", "domain3.com"]}]'
Bulk Referring Domains
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/bulk_referring_domains/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"targets": ["domain1.com", "domain2.com"]}]'
Bulk Ranks (Domain Authority)
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/bulk_ranks/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"targets": ["domain1.com", "domain2.com"]}]'
Bulk Spam Score
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/bulk_spam_score/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"targets": ["domain1.com", "domain2.com"]}]'
Domain Intersection (Link Gap)
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/domain_intersection/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"targets": {"1": "competitor1.com", "2": "competitor2.com"}, "exclude_targets": ["your-domain.com"], "limit": 100}]'
Competitors by Backlinks
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/competitors/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com", "limit": 20}]'
New/Lost Backlinks Timeline
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/timeseries_new_lost_summary/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com", "date_from": "2024-01-01"}]'
Referring Domains
curl -s -X POST "https://api.dataforseo.com/v3/backlinks/referring_domains/live" \
  -H "Authorization: Basic $(cat ~/.config/dataforseo/auth)" \
  -H "Content-Type: application/json" \
  -d '[{"target": "example.com", "limit": 100, "order_by": ["rank,desc"]}]'
Analysis Modes
1. Backlink Profile Analysis

Get a comprehensive overview of a domain's backlink profile:

Input: domain (e.g., "example.com")
Output:
- Total backlinks count
- Referring domains count
- Domain rank (0-1000)
- Spam score (0-100)
- Dofollow vs nofollow ratio
- Top referring domains
- Anchor text distribution
- New/lost links trend
2. Competitor Comparison

Compare your backlink profile against competitors:

Input: [your-domain, competitor1, competitor2, ...]
Output:
- Side-by-side metrics comparison
- Unique referring domains per site
- Shared referring domains
- Gap opportunities
3. Link Gap Analysis

Find domains that link to competitors but not to you:

Input: [your-domain, competitor1, competitor2]
Output:
- Domains linking to competitors but not you
- Sorted by authority/relevance
- Prioritized outreach list

This is the most valuable analysis for link building strategy.

4. Toxic Link Detection

Identify potentially harmful backlinks:

Input: domain
Output:
- Links from high spam score domains
- Suspicious anchor text patterns
- Low-quality referring domains
- Disavow candidates
5. Anchor Text Analysis

Analyze anchor text distribution:

Input: domain
Output:
- Anchor text distribution chart
- Brand vs keyword vs generic ratio
- Over-optimized anchor warnings
- Natural vs unnatural patterns

Healthy distribution guidelines:

  • Brand anchors: 30-40%
  • Naked URLs: 20-30%
  • Generic (click here, etc.): 15-20%
  • Keyword-rich: 10-15% (over 20% = warning)
  • LSI/related: 5-10%
Interpretation Guidelines
Domain Rank (0-1000)
  • 0-100: Low authority
  • 100-300: Moderate authority
  • 300-500: Good authority
  • 500-700: Strong authority
  • 700-1000: Excellent authority
Spam Score (0-100)
  • 0-10: Clean profile
  • 10-30: Low risk
  • 30-60: Moderate risk (review needed)
  • 60-100: High risk (cleanup recommended)
Red Flags
  • Sudden spike in backlinks (potential negative SEO)
  • High percentage of nofollow links from unique domains
  • Anchor text dominated by exact-match keywords
  • Links from irrelevant industries/topics
  • Many links from same IP range or C-class
Output Format
Summary Report
# Backlink Profile: [domain]

## Overview
- Total Backlinks: X
- Referring Domains: X
- Domain Rank: X/1000
- Spam Score: X/100

## Health Assessment
[OK/WARN/BAD] Anchor distribution
[OK/WARN/BAD] Referring domain quality
[OK/WARN/BAD] Link velocity
[OK/WARN/BAD] Spam indicators

## Top Referring Domains
1. [domain] - X backlinks, rank Y
2. ...

## Anchor Text Distribution
[chart or table]

## Recommendations
1. [Priority action]
2. [Secondary action]
Link Building Prioritization

When generating outreach lists from link gap analysis:

Tier 1 (High Priority)

  • Domain rank > 500
  • Relevant to your industry
  • Editorial links (not directories)

Tier 2 (Medium Priority)

  • Domain rank 200-500
  • Related industry or topic
  • Resource pages, roundups

Tier 3 (Low Priority)

  • Domain rank < 200
  • Directories, forums
  • Comment sections
Integration with Other SEO Skills
  • Use seo-content to analyze pages that attract backlinks
  • Use seo-keywords to find keywords for linkable content
  • Use seo-serp to track ranking impact of new links

[PROTOCOL]: Update this header on changes, then check CLAUDE.md

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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