# saa-agent

> saa-agent — mirabarukaso-saa-agent. Use this tool when you need to generate images using a robust backend, solving use cases such as creating visual content for characters or scenes. The saa-agent takes input parameters and outputs generated images, providing an interface for AI agents to leverage the Character Select Stand Alone App (SAA) image generation capabilities. Ideal for applications requiring dynamic image creation, such as game development or virtual storytelling.

Canonical page: https://skillsregistry.net/skills/mirabarukaso-saa-agent  
JSON: https://api.skillsregistry.net/v1/skills/mirabarukaso-saa-agent

## Description

Enables AI agents to generate images using the Character Select Stand Alone App (SAA) image generation backend.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/mirabarukaso-saa-agent)

## 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": "mirabarukaso-saa-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mirabarukaso-saa-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mirabarukaso-saa-agent/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