# tiny1C

> tiny1C — bigsofter-tiny1c. Use this tool when you need to develop and validate 1C:Enterprise configurations for AI agents, leveraging a set of rules with individual sources and checks. It solves problems related to configuration management and validation, providing a framework for MCP servers and configuration guidance. The tool accepts configuration files as input and outputs validation results, making it ideal for use in git-based development workflows.

Canonical page: https://skillsregistry.net/skills/bigsofter-tiny1c  
JSON: https://api.skillsregistry.net/v1/skills/bigsofter-tiny1c

## Description

Правила разработки на 1С:Предприятии для ИИ-агентов: у каждого правила свой источник и своя проверка. MCP-сервер, направления по конфигурациям.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/bigsofter/tiny1C)

## 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": "bigsofter-tiny1c"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bigsofter-tiny1c` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bigsofter-tiny1c/pull`

---
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