# cladding

> cladding — qwerfunch-cladding. Use this tool when you need to ensure trust, traceability, and stability in AI-generated code at scale. Cladding wraps your AI coding agent, verifying output against your specifications to guarantee accuracy and reliability. It integrates with git, providing a secure and transparent solution for organizations to confidently adopt AI-driven coding practices.

Canonical page: https://skillsregistry.net/skills/qwerfunch-cladding  
JSON: https://api.skillsregistry.net/v1/skills/qwerfunch-cladding

## Description

For an organization to trust AI with its code, three things must hold — trust, traceability, and stability at scale. cladding wraps your AI coding agent: your intent goes in before it writes, and the result is verified against your spec after, so those three are earned, not assumed. First L4 implementation of the Ironclad standard.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/qwerfunch/cladding)

## 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": "qwerfunch-cladding"
    }
  }
}
```

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