seo-backlinks

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Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.

Web & Frontend 289 stars 105 forks Updated today Apache-2.0

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Skill Content

# Backlink Profile Analysis ## Source Detection Before analysis, detect available data sources: 1. **DataForSEO MCP** (premium): Check if `dataforseo_backlinks_summary` tool is available 2. **Moz API** (free signup): `python scripts/backlinks_auth.py --check moz --json` 3. **Bing Webmaster** (free signup): `python scripts/backlinks_auth.py --check bing --json` 4. **Common Crawl** (always available): Domain-level graph with PageRank 5. **Verification Crawler** (always available): Checks if known backlinks still exist Run `python scripts/backlinks_auth.py --check --json` to detect all sources at once. If no sources are configured beyond the always-available tier: - Still produce a report using Common Crawl domain metrics - Suggest: "Run `/seo backlinks setup` to add free Moz and Bing API keys for richer data" ## Quick Reference | Command | Purpose | |---------|---------| | `/seo backlinks <url>` | Full backlink profile analysis (uses all available sources) | | `/seo backlinks gap <url1> <url2>` | Competitor backlink gap analysis | | `/seo backlinks toxic <url>` | Toxic link detection and disavow recommendations | | `/seo backlinks new <url>` | New and lost backlinks (DataForSEO only) | | `/seo backlinks verify <url> --links <file>` | Verify known backlinks still exist | | `/seo backlinks setup` | Show setup instructions for free backlink APIs | ## Analysis Framework Produce all 7 sections below. Each section lists data sources in preference order. ### 1. Profile Overv...

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Author: hashgraph-online
Repository: hashgraph-online/awesome-codex-plugins
Created: 1 months ago
Last Updated: today
Language: Python
License: Apache-2.0

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