# hersona

> hersona — shiro-0x-hersona. Use this tool when you need to create consistent and reusable AI agent personas across multiple systems. Hersona provides 346 character attributes to compose, measure, and port personas, solving the problem of inconsistent personality traits in AI interactions. It takes system-prompt personas as input and outputs portable, unified personas that can be easily managed and version-controlled using git.

Canonical page: https://skillsregistry.net/skills/shiro-0x-hersona  
JSON: https://api.skillsregistry.net/v1/skills/shiro-0x-hersona

## Description

346 reusable character attributes for AI agent personas — compose, measure, and port system-prompt personas. Build once. Keep personality everywhere.

## Trust

- **Trust score (0–1):** 1.00
- **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/shiro-0x/hersona)

## 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": "shiro-0x-hersona"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shiro-0x-hersona` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shiro-0x-hersona/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