Serp Analyzer
ListedSerp 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
Run this in your project
terminal$ npx skills add openclaudia/openclaudia-skills --skill serp-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.comundeclaredWhat 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.
- Commit
- 28bf209f39
- Manifest
- skills/serp-analyzer/SKILL.md
- Scanned
- 1 file, 335 lines
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.