# AI-Engineer-Test-Task

> AI-Engineer-Test-Task — abylaisekerbek7-ai-engineer-test-task. Use this tool when you need to assess and evaluate the skills of AI engineers through a standardized test task, providing a comprehensive evaluation of their abilities in AI development and git version control. It solves problems related to recruiting and talent acquisition in the field of AI engineering. The tool takes in candidate submissions and outputs a scored assessment of their performance.

Canonical page: https://skillsregistry.net/skills/abylaisekerbek7-ai-engineer-test-task  
JSON: https://api.skillsregistry.net/v1/skills/abylaisekerbek7-ai-engineer-test-task

## Description

AI Engineer Test Task

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/AbylaiSekerbek7/AI-Engineer-Test-Task)

## 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": "abylaisekerbek7-ai-engineer-test-task"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abylaisekerbek7-ai-engineer-test-task` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abylaisekerbek7-ai-engineer-test-task/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