agentmods.dev

country-opportunities

country-opportunities is a skill for Claude Code from amirjahfar1/Google-Search-Console-GSC-MCP. It costs 36 tokens per session (399 once invoked), scanned A, original, MIT.

A Search Console report that compares a website’s search performance across countries. It shows where traffic comes from and where many people see the site but rarely click or where it ranks poorly.

In plain words
What is it for?
Use it to identify the top countries, find high-impression countries with low click rates or weak rankings, and inspect the queries behind the best opportunities.
Why use it?
Country-level results can reveal markets that need localized content, language targeting, or other international SEO work. It helps distinguish strong markets from untapped opportunities.

Skill for Claude Code

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

Part of the google-search-console-gsc-mcp plugin — 12 skills, 1 MCP server shipped together

not rated 0repo 2mo ago A scan 36 tokens original MIT

Good fit Use it to identify the top countries, find high-impression countries with low click rates or weak rankings, and inspect the queries behind the best opportunities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities
View source ↗ amirjahfar1/Google-Search-Console-GSC-MCP
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 amirjahfar1/Google-Search-Console-GSC-MCP --skill country-opportunities
Clone the repo
git clone --depth 1 https://github.com/amirjahfar1/Google-Search-Console-GSC-MCP

Made for: Claude Code.

Or install google-search-console-gsc-mcp, the plugin that ships this one along with the rest of its 12 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.

agentmods badge for country-opportunities

README.md
[![agentmods](https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities/github.svg)](https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities)
Your own site
<a href="https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities"><img src="https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/country-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.

agentmods 80×15 button for country-opportunities

Your own site · 80×15
<a href="https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities"><img src="https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/country-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 399 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 $0.00036 $0.00399
Opus 5 $0.00018 $0.00199
Sonnet 5 $0.00007 $0.00080
Haiku 4.5 $0.00004 $0.00040

Measured 11d ago against content hash c23f3b7f8c03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

country-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 11d 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/country-opportunities/SKILL.md · 34 lines

What it actually says

Country Opportunities

Surface which countries drive the most traffic and which have high impressions but weak CTR/position — signals for international SEO opportunities (hreflang, localized content, geo-targeting).

Steps

  1. Call list_properties to confirm the exact site_url.
  2. Call get_advanced_search_analytics with:
    • dimensions=country
    • row_limit=50, sort_by=clicks, sort_direction=descending
    • Default last 28 days
  3. From the results, identify:
    • Top 5 countries by clicks (core markets)
    • High-impression, low-CTR countries (impressions > 500, ctr < 0.02) — visible but not converting to clicks
    • High-impression, weak-position countries (impressions > 500, position > 15) — visible in search but ranking poorly, a possible localization/content gap
  4. For the top 3 opportunity countries, call get_advanced_search_analytics again with dimensions=query,country and filters=[{"dimension":"country","operator":"equals","expression":"<country>"}] to surface the specific queries driving impressions there.

Output format

  • Table: Country | Clicks | Impressions | CTR | Avg Position
  • "Core markets" list (top 5)
  • "Opportunity markets" list with the specific queries behind each, and a one-line recommendation (localized landing page, hreflang check, translated content)

For a core market showing a sudden decline, follow up with new-vs-lost-queries filtered to that country to see what specifically dropped.

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. 11d ago First seen · 34 lines · 36 tokens per session scan A c23f3b7f8c03

Subscribe to this mod's changes

country-opportunities is a skill published in the GitHub repository amirjahfar1/Google-Search-Console-GSC-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 399 once invoked, about $0.0002 per session on Opus 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 2026-09-01.

Analytics and metricsMarketing and SEO
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens