# laws

> laws — totopolis-laws. Use this tool when you need to quickly find relevant legal information within the Russian Federation's legal codes, or retrieve specific articles by identifier. It solves problems of tedious manual searches and provides offline access to 24 legal codes, allowing for efficient natural-language querying. The tool accepts natural-language queries and article identifiers as inputs, and outputs relevant search results and full articles.

Canonical page: https://skillsregistry.net/skills/totopolis-laws  
JSON: https://api.skillsregistry.net/v1/skills/totopolis-laws

## Description

Provides local, offline semantic search across 24 Russian Federation legal codes using natural-language queries, with tools to retrieve full articles by identifier and list available codes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iokjgd9j95)
- **Repository:** <https://github.com/Totopolis/laws>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "totopolis-laws"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/totopolis-laws` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/totopolis-laws/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt