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Agent Pagerank Analyzer

Checked
ruvnet·vlatest·marketing·MIT

Analyzes website link structures to identify influential pages and potential SEO opportunities using a ruvnet-powered PageRank algorithm.

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 ruvnet/ruflo --skill agent-pagerank-analyzer --full-depth -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

ruvnet

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 credential access: passed

    Reads no keys, tokens, keychains or credential files.

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

  • 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 ruvnet/claude-flow at 49da6ecc44.

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

Scanned
1 file, 292 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 analyzes a list of URLs and returns their PageRank scores. It leverages Google's PageRank algorithm to determine the relative importance of each URL within the provided set, providing insights into website authority and link popularity. The results are presented as a ranked list, allowing for easy identification of the most influential pages.

When to use it

  • SEO Analysis: Quickly assess the relative ranking of several competitor websites or landing pages.
  • Content Prioritization: Determine which pieces of content on your site have the highest authority and should be prioritized for promotion.
  • Link Building Evaluation: Evaluate the quality and impact of backlinks pointing to a set of URLs.
  • Research & Competitive Intelligence: Understand the relative importance of websites within a specific niche or industry.

Key capabilities

  • Calculates PageRank scores for provided URLs.
  • Ranks URLs based on their calculated PageRank.
  • Provides a ranked list output.

Example prompts

  • "Analyze these URLs and return their PageRank: [list of URLs]"
  • "What is the PageRank of each URL in this list? [list of URLs]"
  • "Rank these websites by authority using PageRank: [list of URLs]"

Tips & gotchas

PageRank calculation can be computationally intensive, and results may vary depending on Google's current data. The accuracy of the analysis depends on the quality and completeness of Google’s index for the provided URLs.