# cli

> cli — modelstudioai-cli. Use this tool when you need to interact with AI Agent frameworks, access models, or leverage search and multimodal capabilities through structured command-line calls. It solves problems related to workflow automation, model exposure, and integration with git version control. The cli tool accepts various commands and parameters as input and outputs results, making it suitable for automating tasks and workflows in AI development contexts.

Canonical page: https://skillsregistry.net/skills/modelstudioai-cli  
JSON: https://api.skillsregistry.net/v1/skills/modelstudioai-cli

## Description

Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/modelstudioai/cli)

## 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": "modelstudioai-cli"
    }
  }
}
```

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