# humanod

> humanod — armandobrazil-humanod. Use this tool when you need to outsource real-world tasks to humans, such as data collection, content moderation, or surveys, and require a scalable and efficient way to manage workflows. The Humanod API takes in task requests as input and outputs completed tasks, allowing for seamless integration into various applications. It solves problems related to task automation, data enrichment, and crowdsourcing, making it ideal for use cases where human judgment and expertise are required.

Canonical page: https://skillsregistry.net/skills/armandobrazil-humanod  
JSON: https://api.skillsregistry.net/v1/skills/armandobrazil-humanod

## Description

Hire humans for real-world tasks via the Humanod API.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/armandobrazil-humanod)

## 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": "armandobrazil-humanod"
    }
  }
}
```

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