# codeclone

> codeclone — orenlab-codeclone. Use this tool when you need to manage and track structural changes in Python codebases, ensuring deterministic control over updates and modifications. It solves problems related to code consistency, collaboration, and version control, particularly in AI-assisted development environments. The codeclone tool integrates with git, accepting Python codebases as input and producing updated, version-controlled code as output.

Canonical page: https://skillsregistry.net/skills/orenlab-codeclone  
JSON: https://api.skillsregistry.net/v1/skills/orenlab-codeclone

## Description

Deterministic Structural Change Controller for AI-assisted Python development

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/orenlab/codeclone)

## 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": "orenlab-codeclone"
    }
  }
}
```

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