Writing & Content backlink-analysislink-buildingtechnical-seomoz-apibing-webmastercommon-crawldataforseo

Backlink Profile Analyzer

Audit link profiles, anchor text, toxic links, and competitor gaps with source-aware SEO reporting.

FollowSkills review · FSRS-2.0
Not recommended
47/ 100 5-point scale 2.4 / 5
Trust11 / 25 · 2.2/5

The skill requires source detection and distinguishes free, optional, and premium APIs; it also limits the no-DataForSEO fallback to Common Crawl and documents capability limits for new/lost links. Points are deducted because it does not fully disclose URL, credential, and crawl-data flows, least-privilege requirements, user confirmation, credential isolation, or recovery. The verifier and external APIs issue requests to arbitrary targets and third-party services.

Reliability8 / 20 · 2.0/5

The document provides a source fallback chain, an error table, rate-limit handling, and a data-sufficiency gate, making the happy path reasonably clear. Points are deducted because there are no dedicated tests or reproducible output evidence for this skill's key scripts; failures involving missing scripts, MCP tools, or shared references are not sufficiently diagnosable. The mandatory pre-delivery checklist also includes unrelated schema, H1, and platform checks. Static assessment caps this at 10.

Adaptability9 / 15 · 3.0/5

Trigger phrases, commands, URL inputs, seven analysis sections, and no-data behavior are reasonably specified for single-site, competitor-gap, toxic-link, and verification scenarios. Points are deducted because non-fit boundaries, Chinese-language output, and mainland-China reachability are not addressed; the core free data path depends on Common Crawl, while API and verification access may depend on overseas connectivity.

Convention9 / 15 · 3.0/5

Front matter supplies the name, description, author, version, category, license, and compatibility; command references, analysis framework, error handling, fallback strategy, and on-demand references are documented. MIT licensing and repository maintenance context are present. Points are deducted because installation, relative script paths, MCP prerequisites, parameter contracts, changelog information, and maintenance responsibility for this sub-skill are not fully specified, and the output is primarily Markdown rather than a stable machine-readable interface.

Effectiveness6 / 15 · 2.0/5

The skill clearly requests seven analysis sections, a health score, prioritized issues, and link-building opportunities; the data-sufficiency gate and Common Crawl score cap reduce some risk of misleading conclusions. Points are deducted because the files provide no verified representative output for the backlink key paths; toxic-link detection, TLD/country judgments, and anchor benchmarks may require substantial manual review, and results depend on configured or third-party data sources. Static assessment caps this at 7.

Verifiability4 / 10 · 2.0/5

The document names concrete scripts and data sources, specifies confidence weights and source labels, and includes fact-checking requirements, providing useful audit hooks. Points are deducted because key SEO benchmarks, Penguin-risk claims, TLD authority assumptions, and toxic patterns lack verifiable primary citations in the selected file; the supplied repository CI and tests mainly cover shared security and other modules, not core backlink-analysis results. Static assessment caps this at 5.

Evidence confidence:Low Reviewed Jul 20, 2026 Reviewed revision 6cf1ea9fe4c2
Before you use it
  • Toxic-link, TLD/country, and anchor-text thresholds are heuristic and should not directly trigger rejection or disavow actions.
  • Coverage, freshness, and mainland-China reachability of Common Crawl, Moz, Bing, and DataForSEO are not fully guaranteed by the skill; unavailable data should be marked indeterminate.
  • Some mandatory pre-delivery checks are unrelated to backlink analysis, adding process noise and potentially obscuring the relevant data checks.
See the full review method →

What does this skill do, and when should you use it?

This is the backlink analysis skill in the Claude SEO collection, focused specifically on a website’s external link profile. It examines referring domains, anchor-text distribution, referring-domain quality, toxic-link indicators, top linked pages, competitor gaps, and—when supported—new and lost backlinks. It can use Common Crawl and a verification crawler, with optional Moz, Bing Webmaster, and DataForSEO integrations. When evidence is insufficient, it explicitly withholds a misleading health score.

Detects available data sources; runs Common Crawl domain-graph metrics; obtains domain, anchor, and link data from Moz or Bing Webmaster; uses DataForSEO for expanded backlink analysis; verifies whether known backlinks still exist; evaluates referring-domain quality, anchor naturalness, toxic-link risk, link velocity, and geographic relevance; produces a 0–100 backlink health score or an INSUFFICIENT DATA result; and reports prioritized issues, link-building opportunities, and the available PDF-report workflow.

  1. An SEO consultant performs a first backlink audit for a client and needs referring-domain, anchor-text, and toxic-link findings.
  2. An in-house SEO lead compares a site with a competitor to identify domains that link to the competitor but not the target.
  3. A site owner investigates ranking changes by checking lost links, sudden link spikes, or excessive concentration from one domain.
  4. A marketing team prepares a link cleanup and needs to review PBN, link-farm, paid-link, and over-optimized-anchor indicators.

What are this skill's strengths and limitations?

Pros
  • Uses a layered source strategy spanning Common Crawl, Moz, Bing Webmaster, DataForSEO, and a verification crawler.
  • Covers seven analysis areas, including anchors, referring domains, toxic links, top pages, and competitor gaps.
  • Applies a data-sufficiency gate instead of presenting an unsupported health score.
  • MIT-licensed and usable with free sources when premium extensions are not configured.
Limitations
  • New and lost backlink tracking over time requires the DataForSEO extension.
  • Common Crawl mainly supplies domain-level metrics rather than complete authority scores.
  • Moz’s free tier has a one-request-per-10-seconds rate limit.
  • The source does not provide independent test-coverage figures or evidence of operation on each target platform for this sub-skill.

How do you install this skill?

Install it as part of the AgriciDaniel/claude-seo collection. For Claude Code plugin installation, run /plugin marketplace add AgriciDaniel/claude-seo, then /plugin install claude-seo@agricidaniel-claude-seo. For manual installation, run git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git, then bash claude-seo/install.sh. The source does not document a standalone installation procedure for other Agent Skills clients.

How do you use this skill?

In Claude Code, run /seo backlinks <url> for a full analysis; /seo backlinks gap <url1> <url2> for competitor gap analysis; /seo backlinks toxic <url> for toxic-link detection; /seo backlinks verify <url> --links <file> to verify known links; and /seo backlinks setup for free API setup instructions. With no additional APIs configured, the skill can still produce a domain-level report from Common Crawl.

FAQ

Do I need to pay for DataForSEO?
No. Common Crawl and the verification crawler are always available, while Moz and Bing Webmaster can be used after free signup. DataForSEO is an optional premium extension.
Can it produce a report without API keys?
Yes. It uses Common Crawl domain metrics and recommends configuring Moz and Bing for richer data.
When does it show a health score?
It outputs a 0–100 score only when at least four of seven scoring factors have data. Otherwise it reports INSUFFICIENT DATA and shows the available factor scores with sources and confidence.
Does it automatically prove that every flagged link is toxic?
No. It flags patterns such as PBNs, link farms, paid links, and unnatural anchors; medium-risk findings require manual review.

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