# aming-claw

> aming-claw — amingclawdev-aming-claw. Use this tool when you need to collaborate with AI agents on coding projects and require transparent tracking of changes. The aming-claw tool solves version control and auditing problems by providing a shared workspace where you can see, audit, and review every AI-made change to your multi-language codebase. It takes in code changes and outputs a transparent, auditable record of modifications, ideal for use in local-first, multi-language development environments.

Canonical page: https://skillsregistry.net/skills/amingclawdev-aming-claw  
JSON: https://api.skillsregistry.net/v1/skills/amingclawdev-aming-claw

## Description

Shared workspace for AI agents and human developers. See, audit, and review every change AI makes to your codebase. Multi-language graph (Python/TypeScript), MCP-native, local-first.

## 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:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/amingclawdev/aming-claw)

## 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": "amingclawdev-aming-claw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amingclawdev-aming-claw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amingclawdev-aming-claw/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