# aieos

> aieos — zeglin-aieos. Use this tool when you need to standardize and manage complex AI entities and objects, solving the "identity crisis" by providing a clear framework for specification and identification. AIEOS takes in diverse entity data as input and outputs a standardized, structured format, enabling seamless integration and interoperability. Ideal for use cases involving multiple AI systems, entities, or objects that require unique identification and specification.

Canonical page: https://skillsregistry.net/skills/zeglin-aieos  
JSON: https://api.skillsregistry.net/v1/skills/zeglin-aieos

## Description

AIEOS (AI Entity Object Specification) is a standardization framework designed to solve the "identity crisis".

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zeglin-aieos)

## 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": "zeglin-aieos"
    }
  }
}
```

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