Borrowing it
Nothing to install: this file belongs to jrastas/yhteentoimivuusagentti. 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/jrastas/yhteentoimivuusagentti/main/CLAUDE.mdgit clone --depth 1 https://github.com/jrastas/yhteentoimivuusagenttiWrote 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/jrastas/yhteentoimivuusagentti/claude-md)<a href="https://agentmods.dev/instructions/jrastas/yhteentoimivuusagentti/claude-md"><img src="https://agentmods.dev/badge/instructions/jrastas/yhteentoimivuusagentti/claude-md/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/instructions/jrastas/yhteentoimivuusagentti/claude-md"><img src="https://agentmods.dev/badge/instructions/jrastas/yhteentoimivuusagentti/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02670 | $0.02670 |
| Opus 5.5 | $0.01068 | $0.01068 |
| Sonnet 5.5 | $0.00534 | $0.00534 |
| Haiku 4.5 | $0.00267 | $0.00267 |
Grade A, and why
yhteentoimivuusagentti CLAUDE.md scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- [x] Test all three API endpoints with curl/Postman How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yhteentoimivuusalusta MCP Server
Project Overview
This project creates an MCP (Model Context Protocol) server that integrates with Finland's Yhteentoimivuusalusta (Interoperability Platform) to assist with design documentation by ensuring proper use of standardized Finnish terminology, data models, and code values.
Platform Components
- Sanastot (sanastot.suomi.fi) - Terminologies and vocabularies (~90 vocabularies)
- Tietomallit (tietomallit.suomi.fi) - Data models and schemas (~170 models)
- Koodistot (koodistot.suomi.fi) - Code lists and classifications (700+ code lists)
Primary Use Case
When writing design documents, technical specifications, or architecture descriptions for Finnish government or building industry projects, the tool will:
- Suggest correct standardized terms from relevant vocabularies
- Reference appropriate data models for data structure descriptions
- Provide valid code list values for enumerations
- Validate terminology consistency across documentation
Technology Stack
- Language: Python 3.11+
- MCP Library:
mcpPython package (Anthropic official SDK) - HTTP Client:
httpx(async support) - Caching:
diskcache(local) or Redis (shared) - Data Models:
pydanticfor validation - Optional:
voikko(Finnish NLP),rapidfuzz(fuzzy matching),openpyxl(Excel),rdflib(RDF/OWL)
Project Structure
yhteentoimivuusalusta-mcp/
├── src/
│ └── yhteentoimivuusalusta_mcp/
│ ├── __init__.py
│ ├── server.py # MCP server entry point
│ ├── tools/
│ │ ├── terminology.py # search_terminology, get_concept_details, list_vocabularies
│ │ ├── datamodel.py # search_datamodel, get_datamodel_classes, get_model_vocabulary_links
│ │ ├── codelist.py # search_codelist, get_codes, export_codes_csv
│ │ ├── validation.py # validate_terminology
│ │ └── unified.py # unified_search, suggest_references, get_codelist_for_attribute
│ ├── clients/
│ │ ├── base.py # Base HTTP client with rate limiting and offline mode
│ │ ├── sanastot.py # Sanastot API client
│ │ ├── tietomallit.py # Tietomallit API client
│ │ └── koodistot.py # Koodistot API client
│ ├── models/
│ │ └── schemas.py # Pydantic models
│ └── utils/
│ ├── cache.py # Caching utilities with offline mode support
│ ├── config.py # Configuration loader
│ ├── fuzzy.py # Fuzzy matching utilities
│ └── nlp.py # Finnish NLP utilities (optional)
├── tests/
├── docs/
├── pyproject.toml
└── config.yaml.example
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.
- 2mo ago First seen · 273 lines · 2,670 tokens per session scan A 197326000d99
yhteentoimivuusagentti CLAUDE.md is an instructions file published in the GitHub repository jrastas/yhteentoimivuusagentti (2 stars, last pushed 7mo ago), licensed MIT. It adds 2,670 tokens to every session, about $0.0107 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
yhteentoimivuusagentti CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yhteentoimivuusagentti CLAUDE.mdjrastas/yhteentoimivuusagentti | Instructions file | 2 | 7mo ago | MIT | A | 2,670 | Claude Code |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |