# Kery

> Kery — kery-hq-kery. Use this tool when you need to manage and track changes to AI model training data, or integrate version control into your AI development workflow. Kery solves problems related to data reproducibility and collaboration by providing a git-based evidence layer for AI model development. It takes in AI model training data and outputs a version-controlled record of changes, making it ideal for use cases where data integrity and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/kery-hq-kery  
JSON: https://api.skillsregistry.net/v1/skills/kery-hq-kery

## Description

Evidence Layer For AI Devs

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Kery-HQ/Kery)

## 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": "kery-hq-kery"
    }
  }
}
```

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