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.
npx agentmods add instructions/reloadcz/mcp-csu/claude-mdgit clone --depth 1 https://github.com/reloadcz/mcp-csuWrote 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/reloadcz/mcp-csu/claude-md)<a href="https://agentmods.dev/instructions/reloadcz/mcp-csu/claude-md"><img src="https://agentmods.dev/badge/instructions/reloadcz/mcp-csu/claude-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 | $0.01484 | $0.01484 |
| Opus 5 | $0.00742 | $0.00742 |
| Sonnet 5 | $0.00297 | $0.00297 |
| Haiku 4.5 | $0.00148 | $0.00148 |
Grade A, and why
mcp-csu CLAUDE.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 5d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mcp-csu
MCP server for the Czech Statistical Office (ČSÚ) DataStat API.
Single-file Python server (mcp_csu/server.py), runs via uvx mcp-csu.
For AI agents using this MCP server
Quick start
search_datasets("obyvatelstvo") → find dataset code
get_dataset("OBY01") → see dimensions + indicators
get_dataset_selections("OBY01") → find predefined table code
get_selection_data("OBY01T01") → get CSV data
Tool overview
Find data:
search_datasets(query)— full-text search across 700+ datasetssearch_selections(query)— full-text search across 1500+ predefined tableslist_datasets(offset, limit)— browse all datasetslist_selections(offset, limit)— browse all predefined tables
Understand structure:
get_dataset(code)— dimensions, indicators, keywords, update frequencyget_dataset_selections(code)— predefined tables for a datasetget_dimension_items(code, level)— possible values (years, regions, categories)get_indicator(code)— indicator definition
Get data:
get_selection_data(code, max_rows)— primary tool, fetches CSV from a predefined tableget_value(dataset, indicator, dim_codes, item_codes)— single precise valuecustom_query(...)— advanced, arbitrary dataset queryget_dataset_metadata(code, version)— record count, time range, last update
Critical rules
- Always search in Czech. The database is Czech-language. Use the vocabulary below.
- Prefer
get_selection_dataovercustom_query. Selections are reliable and pre-configured.custom_queryis fragile with hierarchical dimensions. - Start with search, not list.
search_datasetsandsearch_selectionsare faster and more targeted than browsing. - Inspect before querying. Always call
get_dataset()beforeget_value()orcustom_query()to learn dimension codes and indicator codes. - Respect max_rows. Default is 100. Increase only when the user needs more. Set to 0 only if explicitly asked for all data.
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.
- 5d ago First seen · 139 lines · 1,484 tokens per session scan A 908cd8ae886d
mcp-csu CLAUDE.md is an instructions file published in the GitHub repository reloadcz/mcp-csu (2 stars, last pushed 6mo ago), licensed MIT. It adds 1,484 tokens to every session, about $0.0074 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 2026-08-31.
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).
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.
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).