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Backlink Audit

Listed
openclaudia·vlatest·marketing·MIT

Analyze website backlinks to identify toxic links, missed opportunities, and improve SEO performance.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openclaudia/openclaudia-skills --skill backlink-audit -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

openclaudia

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.ahrefs.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.ahrefs.comundeclared

    What it found (3 of 6)

    • skills/backlink-audit/SKILL.md:69contacts api.ahrefs.com
      curl -s "https://api.ahrefs.com/v3/site-explorer/backlinks-stats?target={domain}&output=json" \
    • skills/backlink-audit/SKILL.md:77contacts api.ahrefs.com
      curl -s "https://api.ahrefs.com/v3/site-explorer/refdomains?target={domain}&output=json&limit=100" \
    • skills/backlink-audit/SKILL.md:84contacts api.ahrefs.com
      curl -s "https://api.ahrefs.com/v3/site-explorer/backlinks?target={domain}&output=json&limit=100&mode=subdomains" \

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • skills/backlink-audit/SKILL.md:18environment file outside the project
      Or add them to ~/.claude/.env.global

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned openclaudia/openclaudia-skills at 28bf209f39.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
28bf209f39
Manifest
skills/backlink-audit/SKILL.md
Scanned
1 file, 344 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables an AI agent to perform backlink audits for websites using either the Semrush or Ahrefs API. It analyzes a domain's backlink profile, identifying potential toxic links and uncovering opportunities for link building to improve SEO performance. The skill leverages API calls to retrieve data about backlinks, referring domains, anchor text distribution, and indexed pages.

When to use it

  • SEO Analysis: To understand the current backlink profile of a website and identify areas for improvement.
  • Competitive Research: To analyze the backlink profiles of competitors and discover potential link building opportunities.
  • Toxic Link Identification: To pinpoint potentially harmful backlinks that could negatively impact SEO rankings.
  • Link Building Strategy: To inform and guide link acquisition efforts by identifying high-value referring domains.
  • Website Health Check: As part of a broader website health audit to assess the quality and quantity of backlinks.

Key capabilities

  • Semrush API Integration: Utilizes Semrush's backlink data endpoints for analysis.
  • Ahrefs API Integration: Provides an alternative using Ahrefs’ backlink data if Semrush access is unavailable.
  • Backlinks Overview: Retrieves a summary of key backlink metrics (total backlinks, referring domains, etc.).
  • Detailed Backlink List: Provides a list of individual backlinks with details like source URL, anchor text, and last seen date.
  • Referring Domain Analysis: Identifies referring domains and their authority scores.
  • Anchor Text Distribution: Analyzes the distribution of anchor text used in backlinks.
  • Indexed Pages Report: Shows pages on a domain receiving backlinks.

Example prompts

  • "Perform a backlink audit for example.com using Semrush."
  • "Analyze the referring domains and their authority scores for competitorwebsite.net."
  • "Show me the anchor text distribution for my website, focusing on the most common phrases."
  • "Can you identify potential toxic backlinks to mydomain.com?"

Tips & gotchas

  • API Key Required: This skill requires a valid Semrush API key (SEMRUSH_API_KEY) or an Ahrefs API key (AHREFS_API_KEY). You'll need to set these as environment variables.
  • Semrush Priority: If both keys are available, the skill prioritizes using the Semrush API first.
  • Data Limits: The endpoints have display limits (e.g., 100 results per page) which may require multiple calls or adjustments to retrieve a complete dataset.