What is content-performance?

A guide to analysing which pages on a website attract visitors, keep them engaged, or lead to key events. It uses Google Analytics 4 (GA4), Google's website and app measurement service, and gives the field names needed for those reports.

Use it to rank pages by views, users, time spent, engagement rate, bounce rate, or key events, and to find pages with many visits but weak engagement.

It helps avoid using outdated or incorrect GA4 field names, which can make a query fail or produce the wrong analysis. It also separates high-traffic pages from pages that actually engage visitors or drive results.

content-performance — Skill for Claude Code by surendranb

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 surendranb/google-analytics-mcp --skill content-performance

Clone the repo

git clone --depth 1 https://github.com/surendranb/google-analytics-mcp

Made for: Claude Code.

Or install google-analytics-mcp, the plugin that ships this one along with the rest of its 18 skills, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/surendranb/google-analytics-mcp/content-performance/github.svg)](https://agentmods.dev/skills/surendranb/google-analytics-mcp/content-performance)

Your own site

<a href="https://agentmods.dev/skills/surendranb/google-analytics-mcp/content-performance"><img src="https://agentmods.dev/badge/skills/surendranb/google-analytics-mcp/content-performance/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/surendranb/google-analytics-mcp/content-performance"><img src="https://agentmods.dev/badge/skills/surendranb/google-analytics-mcp/content-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 614 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

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.

Model	Per session	Once invoked
Fable 5.1	$0.00022	$0.00614
Opus 5.5	$0.00009	$0.00246
Sonnet 5.5	$0.00004	$0.00123
Haiku 4.5	$0.00002	$0.00061

Measured 2mo ago against content hash dad8173f5b74, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-performance 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 2mo 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.

skills/content-performance/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Performance Analysis

Identify top-performing pages, find underperforming content, and understand engagement patterns across your site.

When to use

You want to know which pages drive the most traffic and engagement
You want to find pages with high views but low engagement (poor content fit)
You want to identify content that drives conversions or return visits

Correct dimension and metric names

Concept	GA4 API name
Page path	`pagePath`
Page title	`pageTitle`
Landing page	`landingPage`
Page views	`screenPageViews`
Unique page views (users)	`totalUsers`
Engagement rate	`engagementRate`
Avg engagement time	`userEngagementDuration`
Scroll depth	`scrolledUsers` (if scroll event is tracked)
Entries (landing views)	`sessions` with `landingPage` dimension

Do not use pageviews — the correct metric is screenPageViews.

Step 1 — Top pages by traffic

dimensions: ["pagePath", "pageTitle"]
metrics: ["screenPageViews", "totalUsers", "userEngagementDuration",
          "engagementRate", "bounceRate"]
date_range: last 30 days
order_by: screenPageViews DESC
limit: 25

Step 2 — Landing page performance

Which pages do users enter your site through, and how well do they engage:

dimensions: ["landingPage"]
metrics: ["sessions", "newUsers", "userEngagementDuration",
          "engagementRate", "keyEvents"]
date_range: last 30 days
order_by: sessions DESC
limit: 25

Step 3 — Underperforming content (high views, low engagement)

Run Step 1, then flag pages where:

screenPageViews is in the top 50% AND
engagementRate is below 0.3 (30%) OR userEngagementDuration < 30 seconds

These pages attract traffic but fail to hold attention — candidates for content improvement or better internal linking.

Step 4 — Content trend over time

dimensions: ["date", "pagePath"]
metrics: ["screenPageViews", "totalUsers"]
dimension_filter: pagePath contains "/blog" (or your content path)
date_range: last 90 days
order_by: date ASC

Read the full file on GitHub · 74 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.

2mo ago First seen · 74 lines · 22 tokens per session scan A dad8173f5b74

Subscribe to this mod's changes

content-performance is a skill published in the GitHub repository surendranb/google-analytics-mcp (244 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 614 once invoked, about $0.0001 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 2026-08-30.

Analytics and metrics Writing and docs ai-agent claude-mcp ga4 gemini-extension google-analytics

content-performance next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
content-performancesurendranb/google-analytics-mcp	Skill	244	5d ago	MIT	A	22	Claude Code
pp-google-analyticsmvanhorn/printing-press-library	Skill	2.1k	yesterday	none	C	37	Claude Code, Codex
google-credentialspowehi-eu/google-suite-seo-mcp	Skill	5	3mo ago	MIT	A	39	Claude Code, Codex
seo-dataanthonylee991/seo-data	Skill	24	6mo ago	Apache-2.0	A	140	Claude Code, Codex
google-seo-auditpowehi-eu/google-suite-seo-mcp	Skill	5	3mo ago	MIT	A	25	Claude Code, Codex
web-analyticsSeoToolkit/web-analytics-agent-skill	Skill	49	4mo ago	none	A	47	Claude Code, Codex
ga4-reportnoviq-ai/google-analytics-mcp	Skill	1	7mo ago	Apache-2.0	A	0	Claude Code