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Serp Analyzer

Listed
openclaudia·vlatest·marketing·MIT

Serp Analyzer extracts key data from search engine results pages (SERPs) to reveal top keywords and insights for SEO research & content strategy.

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 serp-analyzer -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 1 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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.dataforseo.com, api.serpingapi.com, serpapi.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

    serpapi.comundeclaredapi.dataforseo.comundeclaredapi.serpingapi.comundeclared

    What it found (3 of 9)

    • skills/serp-analyzer/SKILL.md:42contacts serpapi.com
      curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en"
    • skills/serp-analyzer/SKILL.md:58contacts serpapi.com
      curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en" | \
    • skills/serp-analyzer/SKILL.md:62contacts serpapi.com
      curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en" | \
  • 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 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 openclaudia/openclaudia-skills at 28bf209f39.

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

Scanned
1 file, 335 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

The serp-analyzer skill enables AI agents to retrieve and process search engine results pages (SERPs) directly. It allows agents to fetch live data from search engines, parse the returned HTML structure, and extract relevant information like titles, snippets, and URLs for immediate analysis or reporting.

When to use it

  • Market Research: Quickly gather competitor pricing, feature lists, or recent news articles by querying specific industry keywords.
  • Fact Verification: Cross-reference claims made in a conversation against current web results to ensure accuracy before responding.
  • Trend Analysis: Monitor real-time search trends for specific events, product launches, or breaking news topics.
  • Content Summarization: Automatically retrieve the top 10 results for a query and synthesize a summary of the collective information found across those pages.

Key capabilities

  • Executes live searches against configured search engines.
  • Parses raw HTML responses from SERPs to identify result cards and links.
  • Extracts structured data including page titles, meta descriptions, and canonical URLs.
  • Returns clean text summaries of search results without requiring manual browsing.

Example prompts

  • "Search for the latest reviews on the new iPhone 16 and summarize the top three pros and cons mentioned in the snippets."
  • "Find current stock prices and recent news headlines for Tesla, then list the top two sources for further reading."
  • "Query search results for 'best hiking boots under $100' and extract the product names and prices from the first five listings."

Tips & gotchas

  • Dynamic Content: Results may vary based on your location settings or the specific search engine configured within the agent's environment.
  • Parsing Limits: Extremely complex SERP layouts with heavy JavaScript rendering might not parse correctly if the tool relies solely on static HTML snapshots.