# doloop-machine

> doloop-machine — ekras-doloop-doloop-machine. Use this tool when you need to prevent large language models (LLMs) from hallucinating by leveraging the Kong in the Loop architecture for distributed collection and local intelligence. It solves problems related to data accuracy and reliability by integrating human oversight and feedback into the model's decision-making process. Ideal for applications requiring high-stakes decision-making, such as data validation and model training, with inputs from git repositories and outputs of refined, trustworthy data.

Canonical page: https://skillsregistry.net/skills/ekras-doloop-doloop-machine  
JSON: https://api.skillsregistry.net/v1/skills/ekras-doloop-doloop-machine

## Description

Distributed Collection, Local Intelligence - Stop LLMs from hallucinating with Kong in the  Loop architecture

## Trust

- **Trust score (0–1):** 0.84
- **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/ekras-doloop/doloop-machine)

## 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": "ekras-doloop-doloop-machine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ekras-doloop-doloop-machine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ekras-doloop-doloop-machine/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