# drift

> drift — vladsure158-drift. Use this tool when you need to track AI-assisted projects in your terminal, providing a lightweight and efficient way to monitor progress with a text-based user interface (TUI) and command-line interface (CLI) that integrates with git. It solves problems of project management and version control, allowing for seamless tracking of changes and updates. Ideal for developers and project managers working on AI-driven projects who require a simple and intuitive terminal-based interface.

Canonical page: https://skillsregistry.net/skills/vladsure158-drift  
JSON: https://api.skillsregistry.net/v1/skills/vladsure158-drift

## Description

Track AI-assisted projects in your terminal with a lightweight TUI and CLI.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vladsure158/drift)

## 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": "vladsure158-drift"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vladsure158-drift` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vladsure158-drift/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