gsc-performance-analyzer

gsc-performance-analyzer is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 70 tokens per session (2,516 once invoked), scanned A, original, MIT.

A guide to reading Google Search Console, Google's service for website search visibility data. It interprets clicks, impressions, click-through rate, average search position, page performance, trends, and Discover results.

In plain words
What is it for?
Use it to investigate traffic changes, compare keyword and page performance, assess organic click-through rate, and review Google Discover results.
Why use it?
Raw search data can be misleading without context about ranking position, seasonality, and data quality. It helps turn changes in organic traffic and click-through rate into possible actions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to investigate traffic changes, compare keyword and page performance, assess organic click-through rate, and review Google Discover results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-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 Ad-Superpowers/ad-superpowers-plugin --skill gsc-performance-analyzer
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

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 gsc-performance-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-analyzer/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-analyzer)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-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 gsc-performance-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-analyzer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/gsc-performance-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,516 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00070 $0.02516
Opus 5.5 $0.00028 $0.01006
Sonnet 5.5 $0.00014 $0.00503
Haiku 4.5 $0.00007 $0.00252

Measured 1mo ago against content hash 65a174534f1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gsc-performance-analyzer scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/gsc-performance-analyzer/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GSC Performance Analyzer

Purpose

Provide expert-level interpretation of Google Search Console data. Transform raw metrics (clicks, impressions, CTR, position) into actionable SEO insights with proper context for benchmarks, seasonality, and data quality.

When to Use This Skill

Invoke when user mentions:

  • Performance analysis: "How is my organic search doing?"
  • CTR optimization: "My CTR is low, what should I do?"
  • Position tracking: "Am I ranking well for this keyword?"
  • Trends: "Why did my traffic drop last week?"
  • Search appearances: "What are rich results?"
  • Discover/News: "How is my content doing in Google Discover?"
  • Data quality: "Is my GSC data accurate?"

Required Tools

Tool Purpose
gsc_search_analytics All organic search data queries
gsc_list_sites Property discovery
gsc_manage_url(action="inspect") Page-level indexing diagnostics
gsc_search_analytics(dimensions=["page"]) Page-level performance overview

Part 1: CTR Benchmarks by Position

Expected CTR by Average Position (Web Search, 2024-2026 data)

AI Overviews impact: Google AI Overviews (formerly SGE) are shown for a large portion of informational queries. For queries where an AI Overview appears, CTR for positions 1-3 can drop 20-60% compared to the benchmarks below. The effect is strongest on "what is", "how to", and definition queries. Navigational, commercial, and brand queries are less affected.

Position Expected CTR Range Interpretation
1 27-32% 22-39% #1 should capture ~30% of clicks — lower if AI Overview shown
2 15-18% 12-22% Strong second position
3 10-13% 8-16% Still above the fold
4 7-9% 5-11% Often below ads on mobile
5 5-7% 3-9% Bottom of first visible results
6-7 3-5% 2-6% Requires scrolling on mobile
8-10 2-3% 1-4% Bottom of page 1
11-20 0.5-1.5% 0.2-2% Page 2 — very few clicks

Read the full file on GitHub · 244 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. 1mo ago First seen · 244 lines · 70 tokens per session scan A 65a174534f1f

Subscribe to this mod's changes

gsc-performance-analyzer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 70 tokens to every session and 2,516 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-11.

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