# plan

> plan — kyzobuild-plan. Use this tool when you need to ensure trustworthy AI decision-making and enforce product judgment consistently. It solves problems of accountability and reliability in AI systems by providing a control plane with features like typed MCP tools and zero-trust monitoring. It takes in AI agent configurations and outputs enforced judgment and monitoring data, ideal for use cases requiring high levels of transparency and control in AI development and deployment.

Canonical page: https://skillsregistry.net/skills/kyzobuild-plan  
JSON: https://api.skillsregistry.net/v1/skills/kyzobuild-plan

## Description

A control plane for trustworthy AI agents: write product judgment once, then enforce it through typed MCP tools, git gates, demolition-first stories, evidence-judged checkboxes, and zero-trust monitoring. Ships with Claude Code and Cursor plugins, Agent Skills, and a FastMCP server.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/kyzobuild/plan)

## 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": "kyzobuild-plan"
    }
  }
}
```

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