# NerA

> NerA — mo1998-nera. Use this tool when you need to integrate Arabic language understanding and cultural context into your AI systems, providing dialect normalization and Sharia compliance auditing for more accurate and respectful interactions. It takes in Arabic text as input and outputs normalized and audited content, enabling more effective communication with Arabic-speaking users. Ideal for applications requiring culturally sensitive and compliant AI interactions in the Middle East and North Africa regions.

Canonical page: https://skillsregistry.net/skills/mo1998-nera  
JSON: https://api.skillsregistry.net/v1/skills/mo1998-nera

## Description

A native Arabic intelligence layer and MCP server providing dialect normalization, Sharia compliance auditing, and cultural context for AI systems.

## Trust

- **Trust score (0–1):** 0.93
- **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/mo1998/NerA)

## 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": "mo1998-nera"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mo1998-nera` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mo1998-nera/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