# malikclaw

> malikclaw — abdullahmalik17-malikclaw. Use this tool when you need to deploy a lightweight AI agent on low-resource devices such as $10 single-board computers or Android devices, with a focus on privacy and support for the Urdu language. It solves problems of resource-intensive AI models and language barriers, accepting input from various sources and outputting assisted responses. Ideal for use cases where memory efficiency and data privacy are crucial, such as edge computing or personal assistant applications.

Canonical page: https://skillsregistry.net/skills/abdullahmalik17-malikclaw  
JSON: https://api.skillsregistry.net/v1/skills/abdullahmalik17-malikclaw

## Description

Ultra-lightweight AI Agent & Assistant for $10 SBCs & Android. Urdu-first, Go-based, and   privacy-focused. 99% smaller memory than typical gateways.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/AbdullahMalik17/malikclaw)

## 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": "abdullahmalik17-malikclaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abdullahmalik17-malikclaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abdullahmalik17-malikclaw/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