# TrueHuman

> TrueHuman — datamarketinglabs-truehuman. Use this tool when you need to train AI agents to mimic human-like behavior through neurochemical modeling, solving problems related to artificial intelligence decision-making and human-computer interaction. The TrueHuman tool takes in AI agent parameters and training data as inputs and outputs trained models with enhanced human-like behavior. It is particularly useful in contexts where AI agents need to interact with humans in a more natural and intuitive way, such as customer service or virtual assistance applications.

Canonical page: https://skillsregistry.net/skills/datamarketinglabs-truehuman  
JSON: https://api.skillsregistry.net/v1/skills/datamarketinglabs-truehuman

## Description

Neurochemical behavior training for AI agents — PentaDrive model with 5 drives, 3 phases, MCP server, and structured training modules

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/DataMarketingLabs/TrueHuman)

## 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": "datamarketinglabs-truehuman"
    }
  }
}
```

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