What is x-road-usage-statistics?

A data access tool for retrieving current and historical counts of organisations and technical components in Estonia’s X-Road production environment. X-Road is a system that connects public and private information systems for secure data exchange.

Use it to track members, subsystems, security servers, member classes, dates, and historical snapshots.

It makes infrastructure participation figures available as structured JSON instead of requiring manual reading of a dashboard.

x-road-usage-statistics — Skill for Claude Code by taivop

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 taivop/marketplace --skill x-road-usage-statistics

Clone the repo

git clone --depth 1 https://github.com/taivop/marketplace

Made for: Claude Code.

Or install estonia-public-sources, the plugin that ships this one along with the rest of its 88 skills.

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/taivop/marketplace/x-road-usage-statistics/github.svg)](https://agentmods.dev/skills/taivop/marketplace/x-road-usage-statistics)

Your own site

<a href="https://agentmods.dev/skills/taivop/marketplace/x-road-usage-statistics"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/x-road-usage-statistics/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/taivop/marketplace/x-road-usage-statistics"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/x-road-usage-statistics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 387 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.

Model	Per session	Once invoked
Fable 5.1	$0.00035	$0.00387
Opus 5	$0.00017	$0.00193
Sonnet 5	$0.00007	$0.00077
Haiku 4.5	$0.00003	$0.00039

Measured 6d ago against content hash db07780b9127, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

x-road-usage-statistics 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 6d 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/estonia-public-sources/sources/x-road-usage-statistics/SKILL.md · 41 lines

What it actually says

X-Road Usage Statistics

Access

Dashboard: https://x-tee.ee/stats/
Current production snapshot: https://x-tee.ee/stats/EE/environmentData.json
Production history: https://x-tee.ee/stats/EE/history.json
Public static JSON; no login is required.

Retrieve

Fetch environmentData.json for the current snapshot. It contains:

instanceIdentifier and data date
members, subsystems, and securityServers
memberClasses, with memberClass and memberCount

Fetch history.json for periodic snapshots with the same totals and member-class breakdown. Development and test environments use sibling ee-dev/ and ee-test/ paths; use EE/ for production.

Return

Return one row per snapshot date and environment with all three totals.
Keep member-class counts as a child table or expand COM, GOV, NGO, and NEE into explicit columns.
Include the JSON URL and retrieval time; use the payload's date as the observation date.

Limits

These datasets count infrastructure and participants, not X-Road requests or transaction volume.
History frequency is determined by the publisher and may not be daily.
The old /facts-and-figures/ URL now redirects to the X-Road self-service homepage and is not a data source.

Verify

Require the current endpoint to return an EE JSON object with a parseable date and positive integer totals.
Require history to be a nonempty chronological JSON array with the same metric keys.

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.

6d ago First seen · 41 lines · 35 tokens per session scan A db07780b9127

Subscribe to this mod's changes

x-road-usage-statistics is a skill published in the GitHub repository taivop/marketplace (17 stars, last pushed 10d ago), licensed MIT. It adds 35 tokens to every session and 387 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 2026-09-04.

Analytics and metrics

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

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

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens