# tootoo-skill

> Use this tool when you need to synchronize your TooToo codex and ensure agent alignment with your values, solving issues of inconsistent or misaligned agent behavior. It takes in your codex data and value inputs, outputting alignment monitoring and synchronization results. Ideal for use cases where maintaining consistent agent behavior and value alignment is crucial, such as in AI model training and deployment.

Canonical page: https://skillsregistry.net/skills/retieflouw-tootoo-skill  
JSON: https://api.skillsregistry.net/v1/skills/retieflouw-tootoo-skill

## Description

Sync your TooToo codex and monitor agent alignment with your values.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/retieflouw-tootoo-skill)

## 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": "retieflouw-tootoo-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/retieflouw-tootoo-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/retieflouw-tootoo-skill/pull`

---
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