# ImageHive

> ImageHive — hrygo-imagehive. Use this tool when you need to efficiently manage and process images with AI agents on Apple silicon, solving problems like image generation, editing, and description. ImageHive provides a shared copy of the SenseNova-U1.5 weights and six MCP tools, accepting image inputs and producing edited or generated images as outputs. It is ideal for use cases requiring streamlined image processing, with a simple one-command install via git.

Canonical page: https://skillsregistry.net/skills/hrygo-imagehive  
JSON: https://api.skillsregistry.net/v1/skills/hrygo-imagehive

## Description

Resident local image service for AI agents on Apple silicon: one shared copy of the SenseNova-U1.5 weights, six MCP tools (generate/edit/describe/options/status/unload), one-command install.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/hrygo/ImageHive)

## 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": "hrygo-imagehive"
    }
  }
}
```

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