# LINTelligent

> LINTelligent — mazenaly256-lintelligent. Use this tool when you need to analyze code for issues and improve its quality, as it solves problems related to code maintenance, error detection, and optimization. LINTelligent takes in code repositories as input and outputs detailed reports on errors, warnings, and suggestions for improvement, with seamless integration with git for version control. It provides a robust interface for AI agents to integrate with the MCP server, enabling automated code review and refinement.

Canonical page: https://skillsregistry.net/skills/mazenaly256-lintelligent  
JSON: https://api.skillsregistry.net/v1/skills/mazenaly256-lintelligent

## Description

AI-integrated backend service for code linting (i.e. analyzing code for issues), with an accompanying MCP server for AI-agent integration.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **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/mazenaly256/LINTelligent)

## 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": "mazenaly256-lintelligent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mazenaly256-lintelligent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mazenaly256-lintelligent/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