What is content-opportunities?

A Google Search Console analysis that finds pages and search queries ranking on positions 11–20, with many impressions but few clicks.

Use it to find and prioritize content updates, page merges, and internal-link improvements.

It highlights pages close to the first page where better titles, descriptions, links, or content could attract more clicks.

content-opportunities — Skill for Claude Code and Codex by Klartika

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 Klartika/gsc-mcp-server --skill content-opportunities

Clone the repo

git clone --depth 1 https://github.com/Klartika/gsc-mcp-server

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/klartika/gsc-mcp-server/content-opportunities/github.svg)](https://agentmods.dev/skills/klartika/gsc-mcp-server/content-opportunities)

Your own site

<a href="https://agentmods.dev/skills/klartika/gsc-mcp-server/content-opportunities"><img src="https://agentmods.dev/badge/skills/klartika/gsc-mcp-server/content-opportunities/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/klartika/gsc-mcp-server/content-opportunities"><img src="https://agentmods.dev/badge/skills/klartika/gsc-mcp-server/content-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 332 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 100% copy Near-identical to another mod 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	$0.00033	$0.00332
Opus 5	$0.00016	$0.00166
Sonnet 5	$0.00007	$0.00066
Haiku 4.5	$0.00003	$0.00033

Measured 10d ago against content hash 1bd116410a83, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-opportunities 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 10d 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.

Origin

This is a copy

100% identical to content-opportunities — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/content-opportunities/SKILL.md · 37 lines

What it actually says

Content Opportunities

Surface quick-win content optimization targets: pages or queries sitting in positions 11–20 with high impression volume but low CTR.

Steps

Call list_properties to confirm the exact site_url.
Call get_advanced_search_analytics with:
- dimensions=query,page
- sort_by=impressions
- sort_direction=descending
- row_limit=1000
- start_date = 28 days ago, end_date = today
Filter the results to keep only rows where:
- position is between 11 and 20 (page 2, just below the fold)
- impressions > 100 (meaningful search volume)
- ctr < 0.03 (3% — below average for these positions)
Sort the filtered set by impressions descending.
Return the top 20 rows.

Output format

Opportunity Score = impressions × (0.05 − ctr) — a rough estimate of clicks gained if CTR reaches 5%.

Follow the table with specific recommendations for each entry:

Title/meta description optimization ideas
Whether to merge with a better-ranking page
Whether to add internal links to boost the page

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.

10d ago First seen · 37 lines · 33 tokens per session scan A 1bd116410a83

Subscribe to this mod's changes

content-opportunities is a skill published in the GitHub repository Klartika/gsc-mcp-server (0 stars, last pushed 23d ago), licensed MIT. It adds 33 tokens to every session and 332 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to content-opportunities, differing in 0 lines, and is treated as a copy.

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