yandex-mcp: Skill for Claude Code

.claude/skills/yandex-competitive-analysis/SKILL.md

yandex-competitive-analysis is a skill for Claude Code from stufently/yandex-mcp. It costs 60 tokens per session (428 once invoked), scanned A, original, MIT.

A competitor-research tool for Russian and Commonwealth of Independent States search markets, using Yandex search and keyword data.

In plain words
What is it for?
Use it to inspect competing search results, related queries, trends, regional demand, and—when connected—your site’s rankings and health.
Why use it?
It helps reveal who ranks for a query, how much demand exists, and where content or regional opportunities may be missing.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is stufently/yandex-mcp's own configuration. It tells Claude Code how to work on yandex-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything yandex-mcp configures →

Part of the yandex-mcp plugin — 3 skills, 5 MCP servers shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to stufently/yandex-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/stufently/yandex-mcp/main/.claude/skills/yandex-competitive-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/stufently/yandex-mcp

Made for: Claude Code.

Or install yandex-mcp, the plugin that ships this one along with the rest of its 3 skills, 5 MCP servers.

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 yandex-competitive-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/stufently/yandex-mcp/yandex-competitive-analysis/github.svg)](https://agentmods.dev/skills/stufently/yandex-mcp/yandex-competitive-analysis)
Your own site
<a href="https://agentmods.dev/skills/stufently/yandex-mcp/yandex-competitive-analysis"><img src="https://agentmods.dev/badge/skills/stufently/yandex-mcp/yandex-competitive-analysis/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 yandex-competitive-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/stufently/yandex-mcp/yandex-competitive-analysis"><img src="https://agentmods.dev/badge/skills/stufently/yandex-mcp/yandex-competitive-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 428 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 $0.00060 $0.00428
Opus 5 $0.00030 $0.00214
Sonnet 5 $0.00012 $0.00086
Haiku 4.5 $0.00006 $0.00043

Measured 12d ago against content hash 677966576da9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yandex-competitive-analysis 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 12d 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.

.claude/skills/yandex-competitive-analysis/SKILL.md · 42 lines

What it actually says

Yandex Competitive Analysis

Analyze competitors and find opportunities in Russian and CIS search markets.

Available Tools

  • mcp__yandex-search__search - Find who currently ranks for target keywords
  • mcp__yandex-wordstat__top-requests - Understand search volume and related queries
  • mcp__yandex-wordstat__dynamics - Track if competition is increasing over time
  • mcp__yandex-wordstat__regions - Find underserved regional markets
  • mcp__yandex-webmaster__get-popular-queries - Compare user's site performance (requires Webmaster)
  • mcp__yandex-webmaster__get-summary - Get user's site health metrics (requires Webmaster)

Workflow

  1. Search landscape: Use search to find top 10-20 results for target keywords
  2. Volume analysis: Use top-requests to understand search demand
  3. Trend analysis: Use dynamics to see if market is growing
  4. Regional opportunities: Use regions to find high-affinity, underserved regions
  5. Own position (if Webmaster): Compare user's ranking vs competitors

Analysis Framework

When analyzing competitors:

  • Domain authority signals: Identify recurring domains in top positions
  • Content patterns: Note content types that rank (articles, products, forums)
  • Gap opportunities: Keywords with high volume but weak competition
  • Regional gaps: Regions with high affinity but low competition

Output Guidelines

  • Adapt output language to match the user's language
  • Present competitor domains with their ranking positions
  • Highlight content gaps and opportunities clearly
  • Provide actionable recommendations
  • Include regional opportunities if relevant
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. 12d ago First seen · 42 lines · 60 tokens per session scan A 677966576da9

Subscribe to this mod's changes

yandex-competitive-analysis is a skill published in the GitHub repository stufently/yandex-mcp (18 stars, last pushed 10d ago), licensed MIT. It adds 60 tokens to every session and 428 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

opik-diagnose

Surface the Opik traces worth a developer's attention, ranked by signal — Diagnostics issues first, then errors, failed tool calls, latency, regressions, and low online-eval scores. With the Opik MCP connected it lists the project's agentinsightsissue entities, offers to turn Diagnostics on when the project has it…

comet-ml/opik-mcp · 187 tokens

cortex-explore-memory

Explore the memory system's state, find gaps in knowledge, assess coverage, and get diagnostic information. Use when the user asks 'what does my memory look like', 'show me memory stats', 'what am I missing', 'how good is my knowledge', 'memory health', 'show coverage', 'find gaps', 'what topics are weak', or when you…

cdeust/Cortex · 91 tokens

quick-capture

Use this skill to drop a new task into GSD Task Manager from any AI assistant that has the gsd-mcp-server connected.

vscarpenter/gsd-task-manager · 0 tokens

event-staffing-ordering

Order W-2 event staff for US/CA events through TempGuru.

Tempguru-co/tempguru-mcp · 22 tokens

delegacion-local

Regla y catálogo para delegar pasos mecánicos (resumir, clasificar, extraer, boilerplate, mensaje de commit desde un diff, traducir texto o archivo, resumir salida de lint/tests/CI, explicar código, describir una imagen, verificar si el backend local está disponible) a modelos locales vía las tools local del MCP…

ZahiriNatZuke/local-delegate · 137 tokens

chainstack

Work with the Chainstack MCP server to manage blockchain nodes and projects. Use when deploying nodes, migrating to Chainstack from another RPC provider such as QuickNode or Alchemy, checking platform status, searching Chainstack docs, contacting the Chainstack team, or interacting with the Chainstack platform API via…

chainstacklabs/mcp-server · 66 tokens