# openkata

> openkata — tovrleaf-openkata. Use this tool when you need to establish standardized practices for AI agents, enabling efficient knowledge sharing and collaboration. Openkata solves the problem of inconsistent agent training by providing a codified framework for AI development, allowing for seamless integration with version control systems like Git. It takes in AI agent configurations and outputs standardized, reproducible practices, ideal for use in multi-agent or large-scale AI projects.

Canonical page: https://skillsregistry.net/skills/tovrleaf-openkata  
JSON: https://api.skillsregistry.net/v1/skills/tovrleaf-openkata

## Description

Codified practices for AI agents — teach your agents the way.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **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/tovrleaf/openkata)

## 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": "tovrleaf-openkata"
    }
  }
}
```

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