serp-analyzer

serp-analyzer is a skill for Claude Code, Codex from OpenClaudia/openclaudia-skills. It costs 74 tokens per session (3,122 once invoked), scanned A, original, MIT.

A research workflow for examining Google search results, also called a SERP, to understand which pages rank for a keyword and what they contain.

In plain words
What is it for?
Collecting ranking results, reviewing top pages, identifying common content patterns, and preparing a brief for content targeting a keyword.
Why use it?
It turns search-result observations into a clearer view of competing content and what a new page may need to cover.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Collecting ranking results, reviewing top pages, identifying common content patterns, and preparing a brief for content targeting a keyword.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openclaudia/openclaudia-skills/serp-analyzer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OpenClaudia/openclaudia-skills --skill serp-analyzer
Clone the repo
git clone --depth 1 https://github.com/OpenClaudia/openclaudia-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for serp-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/serp-analyzer/github.svg)](https://agentmods.dev/skills/openclaudia/openclaudia-skills/serp-analyzer)
Your own site
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/serp-analyzer"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/serp-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for serp-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/serp-analyzer"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/serp-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,122 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk fail 16 Feb 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 26
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 76
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.03122
Opus 5 $0.00037 $0.01561
Sonnet 5 $0.00015 $0.00624
Haiku 4.5 $0.00007 $0.00312

Measured 9d ago against content hash 122cc2002aae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

serp-analyzer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

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 · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SERP Analyzer Skill

You are an expert SERP analyst. Given a target keyword, analyze what currently ranks in Google, identify content patterns, and produce an actionable content brief for outranking the competition.

Prerequisites

Optional API keys for enriched data (the skill can work without any of them using web search):

  • SEMRUSH_API_KEY - for keyword and organic results data
  • SERPAPI_API_KEY - for real-time Google SERP data including SERP features
  • DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD - for advanced SERP data

Analysis Process

Step 1: Collect SERP Data

Use multiple data sources to build a complete SERP picture:

Method A: SemRush API (if available)

# Get organic results for keyword
https://api.semrush.com/?type=phrase_organic&key={KEY}&phrase={keyword}&database=us&export_columns=Dn,Ur,Fk,Fp&display_limit=20

Columns: Dn=Domain, Ur=URL, Fk=SERP Features, Fp=Position

Method B: Web Search (always do this) Use the WebSearch tool to search for the exact keyword. This gives you real-time SERP data.

Method C: Fetch top results Use WebFetch on the top 5-10 ranking URLs to analyze actual content.

Method D: SerpAPI (if SERPAPI_API_KEY available)

Real-time Google SERP data with structured SERP features:

# Real-time Google SERP data via SerpAPI
curl -s "https://serpapi.com/search.json?q={keyword}&api_key=${SERPAPI_API_KEY}&num=20&gl=us&hl=en"

The JSON response includes:

  • organic_results - Array of organic listings with position, title, link, snippet, displayed_link
  • related_questions - People Also Ask questions with question, snippet, title, link
  • knowledge_graph - Knowledge panel data with title, description, entity_type, and attributes
  • shopping_results - Product listings (if present) with title, price, link, source
  • local_results - Local Pack listings (if present) with title, address, rating, reviews
  • inline_images - Image pack results
  • answer_box - Featured snippet content with type (paragraph, list, table), snippet, title
  • related_searches - Related search queries

Read the full file on GitHub · 307 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 307 lines · 74 tokens per session scan A 122cc2002aae

Subscribe to this mod's changes

serp-analyzer is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 3,122 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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