Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/VKirill/claude-lane-stacknpx agentmods add skills/vkirill/claude-lane-stack/yandex-metricaWrote 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/skills/vkirill/claude-lane-stack/yandex-metrica)<a href="https://agentmods.dev/skills/vkirill/claude-lane-stack/yandex-metrica"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/yandex-metrica/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.
<a href="https://agentmods.dev/skills/vkirill/claude-lane-stack/yandex-metrica"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/yandex-metrica.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00240 | $0.06342 |
| Opus 5.5 | $0.00096 | $0.02537 |
| Sonnet 5.5 | $0.00048 | $0.01268 |
| Haiku 4.5 | $0.00024 | $0.00634 |
Grade A, and why
yandex-metrica 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 1mo 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Version Requirements (May 2026)
Primary pins:
- Yandex Metrika API:
Reporting v1 (/stat/v1/data), Management v1 (/management/v1), Logs (/management/v1/counter/{id}/logrequests*) — stable, no deprecation notice - Base URL:
https://api-metrika.yandex.net - Python:
3.14.x - Node.js:
24.x (Active LTS)
Source of truth: STACK_VERSIONS.md — verified 2026-08-24
Usage
Loaded automatically when its description matches the active task. Read only the section you need, then follow the link to the relevant reference file for full detail.
Use this skill when
- Pulling traffic/source/goal/conversion reports via Reporting API (
/stat/v1/data) - Time-series via
/stat/v1/data/bytime(charts grouped by day/week/month) - Hierarchical drill-down (e.g. city → page → device) via
/stat/v1/data/drilldown - A/B segment or period comparisons via
/stat/v1/data/comparison - Raw hit/visit export via Logs API for ClickHouse / BigQuery / DuckDB
- Multi-touch attribution — first/last/last-significant/Yandex Direct/cross-device via
attribution= - CRUD on counters, goals, filters, representatives, operations via Management API
- Importing expenses, CRM data, offline conversions, user params via Data Import API
- Storing OAuth tokens with the right minimum scope (
metrika:read/metrika:write/metrika:offline_data) - Building a Python (
httpx) or Node.js client with Logs API polling, 429/503 retry,request_iddeduplication - Detecting sampling (
sampled=true,sample_share) and re-running withaccuracy=fullwhen needed
Do not use this skill when
- Search Console-style queries / index / sitemap — that is not Metrika. Use
yandex-webmaster(cascade marker) - Yandex.Direct ad campaign stats (impressions, clicks, CPC, CTR) — separate API. Use
yandex-direct(cascade marker) - Google Analytics 4 — different platform and API. Use
google-analytics(cascade marker) - AppMetrica (mobile app analytics on appmetrica.yandex.com) — separate API. Use
appmetrica(cascade marker) - Placing the JS tag on a page or configuring goals via JS — that is tag-manager / frontend work, not API
- Downstream processing of collected data (ETL, ClickHouse, dashboards) — that belongs to
clickhouse/polars/pandas/postgresql - Session-recording (Webvisor) data — Webvisor API exists separately and is not covered here
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/cookbook.md 17 KB
- references/dimensions-and-metrics.md 6.3 KB
- references/errors.md 6.5 KB
- references/integration.md 18 KB
- references/logs-api.md 7.5 KB
- references/management-api.md 6.3 KB
- references/rate-limits.md 6.9 KB
- references/reporting-api.md 6.9 KB
- references/segments-and-filters.md 4.5 KB
- references/setup.md 4.3 KB
- references/workflow.md 15 KB
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.
- 1mo ago First seen · 289 lines · 240 tokens per session scan A 4e1478266b01
yandex-metrica is a skill published in the GitHub repository VKirill/claude-lane-stack (122 stars, last pushed today), licensed MIT. It adds 240 tokens to every session and 6,342 once invoked, about $0.0010 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 2026-09-05.
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