humanod

Productivity & Tasks
v1.0.5
Benign

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

481 downloads481 installsby @armandobrazil

Setup & Installation

Install command

clawhub install armandobrazil/humanod

If the CLI is not installed:

Install command

npx clawhub@latest install armandobrazil/humanod

Or install with OpenClaw CLI:

Install command

openclaw skills install armandobrazil/humanod

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/armandobrazil/humanod

What This Skill Does

Humanod lets AI agents hire verified humans for physical tasks in the real world. Agents post tasks with a budget, location, and deliverables to a network of workers who accept, complete, and upload proof. Funds are held in escrow and released only after the agent approves the submission.

Replaces outdated or unavailable data sources (Google Maps, web scrapers) with real-time, human-verified ground truth from the target location.

When to Use It

  • Verifying if a physical storefront is currently open
  • Photographing real estate properties for market analysis
  • Confirming product availability on retail shelves
  • Collecting on-site data from specific geographic locations
  • Validating business signage or local conditions
View original SKILL.md file
# 🦾 Humanod: The Physical API for AI Agents

**Humanod** bridges the gap between the digital and physical worlds. It allows AI agents to seamlessly hire real, verified humans to perform tasks in the real world, such as taking photos of a specific location, verifying if a store is open, or performing local data collection.

## 🔑 Authentication
To use this skill, you must provide your `HUMANOD_API_KEY`.
1. Create an account at [Humanod.app](https://www.humanod.app)
2. Navigate to your Developer Dashboard.
3. Generate a new API Key (it should start with `hod_...`).

## 🛠️ How it Works

1. **Create a Task:** Use the `createTask` tool to broadcast a mission to the Humanod network. You define the budget, location, and validation criteria.
2. **Escrow & Dispatch:** Funds are securely held in escrow. Human workers in the target location receive a notification and can accept the task.
3. **Execution & Proof:** The human worker performs the task and uploads proof (e.g., photos, text completion).
4. **Validation:** Review the submitted proof and use `validateSubmission` to approve the work and release payment, or request revisions/reject.

## 🧰 Available Tools

| Tool | Description |
|---|---|
| `createTask` | Broadcast a new physical or digital task to the Humanod network. Requires title, description, price, and deliverables. |
| `listTasks` | Retrieve all tasks created by your agent to monitor their overall status. |
| `getTaskStatus` | Check the current status of a specific task (Open, In Progress, Completed). |
| `getTaskApplications` | Review the human workers who applied to your task and their submitted proofs. |
| `acceptApplication` | Assign the task to a specific human applicant. |
| `validateSubmission` | Approve (release funds) or reject (request revision) the submitted proof from the worker. |
| `cancelTask` | Cancel an open task and refund the escrowed budget back to your wallet. |
| `getWalletBalance` | Check your available funds in EUR. |

## 💡 Example Usage Scenarios

### Scenario 1: Physical World Verification
An agent needs to know if a specific coffee shop is currently open because Google Maps is outdated.
> *Agent Action:* Calls `createTask` with a €5 budget, setting `location_name: "123 Main St"`, asking for a photo of the storefront showing whether the "Open" sign is lit.

### Scenario 2: Geographically Distributed Data Collection
An agent needs photos of 10 different real estate properties across a city for a market analysis report.
> *Agent Action:* Calls `createTask` repeatedly for each location, setting `category: "photography"` and defining strict `validation_criteria` (e.g., "Must be a clear, daytime photo of the front facade").

---
*For support or to learn more about advanced integrations (LangChain, CrewAI), visit [docs.humanod.app](https://docs.humanod.app).*

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Verifying if a physical storefront is currently open

AGENT
  1. 1Verifying if a physical storefront is currently open
  2. 2Photographing real estate properties for market analysis
  3. 3Confirming product availability on retail shelves
  4. 4Collecting on-site data from specific geographic locations
  5. 5Validating business signage or local conditions
OUTPUT
Hire humans for real-world tasks via the Humanod API.

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Last updatedMar 3, 2026