Borrowing it
Nothing to install: this file belongs to axelfreeman/yandex-wordstat-guide. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/axelfreeman/yandex-wordstat-guide/master/AGENTS.mdgit clone --depth 1 https://github.com/axelfreeman/yandex-wordstat-guideWrote 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.
[](https://agentmods.dev/instructions/axelfreeman/yandex-wordstat-guide/agents-md)<a href="https://agentmods.dev/instructions/axelfreeman/yandex-wordstat-guide/agents-md"><img src="https://agentmods.dev/badge/instructions/axelfreeman/yandex-wordstat-guide/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.02038 | $0.02038 |
| Opus 5 | $0.01019 | $0.01019 |
| Sonnet 5 | $0.00408 | $0.00408 |
| Haiku 4.5 | $0.00204 | $0.00204 |
Grade A, and why
yandex-wordstat-guide AGENTS.md 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Yandex Wordstat Guide for AI Agents
A toolkit for AI agents to collect Yandex search query statistics programmatically. Use this repo to gather Russian-language search semantics, find trending topics, and feed structured keyword data into LLMs for SEO content generation — all without the manual Wordstat UI.
What this project is
Yandex Wordstat is the only source of real search volume data for the Russian-speaking internet (Runet). This project wraps the Yandex Search API v2 into Python scripts that an AI agent can invoke directly. The output is structured JSON — ready to pipe into DeepSeek, GPT, or Claude for content generation.
Quick start for AI agents
Prerequisites
# 1. Clone
git clone https://github.com/axelfreeman/yandex-wordstat-guide.git
cd yandex-wordstat-guide
# 2. Install deps
pip install -r requirements.txt # only 'requests'
# 3. Set credentials
export WORDSTAT_API_KEY="AQVN..." # Yandex Cloud API key
export WORDSTAT_FOLDER_ID="b1g..." # 20-char folder ID — must be exactly 20 chars!
Your first collection
python3 scripts/collect.py "ремонт квартир" "дизайн интерьера"
# → semantic_results.json with deduplicated phrases sorted by search volume
What you can do with this
1. Collect search semantics (scripts/collect.py)
Takes seed phrases → expands each via topRequests API → deduplicates → sorts by volume.
python3 scripts/collect.py "keyword1" "keyword2" "keyword3"
Output (semantic_results.json):
{
"collected_at": "2026-08-11T14:30:00",
"total_phrases": 171,
"requests_used": 12,
"results": [
{"phrase": "ремонт квартир под ключ", "count": 12450, "source": "ремонт квартир"},
{"phrase": "дизайн интерьера квартиры", "count": 6720, "source": "дизайн интерьера"}
]
}
2. Find explosive trends (scripts/trending.py)
Discovers phrases with ≥200% month-over-month growth. For each seed, collects top-15 related phrases, then pulls 6-month history via dynamics API.
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.
- 8d ago First seen · 222 lines · 2,038 tokens per session scan A 2046fc5d2d3e
yandex-wordstat-guide AGENTS.md is an instructions file published in the GitHub repository axelfreeman/yandex-wordstat-guide (34 stars, last pushed 17d ago), licensed MIT. It adds 2,038 tokens to every session, about $0.0102 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.