Loopuman for Openclaw

Connect your AI agents to a global workforce for tasks requiring human perception, judgment, and local knowledge via Openclaw Skills.

seesayearn-boop
v0.1.0
Feb 14, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install loopuman

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install loopuman using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Loopuman?

Loopuman serves as the essential human layer for AI, providing a bridge between automated processing and real-world human intelligence. By integrating this skill, developers can programmatically route complex tasks—such as physical address verification, nuanced translation, or subjective content moderation—to a network of verified human workers who interact via Telegram and WhatsApp. This ensures that Openclaw Skills can handle scenarios where even the most advanced LLMs might fail or hallucinate.

The system is built on the Celo blockchain, enabling near-instant payments in cUSD to workers worldwide. This transparency and speed attract a high-quality workforce, while the skill provides developers with a structured CLI and API interface to manage human-in-the-loop workflows as easily as calling a function. Whether you need to verify data, label images, or gather local insights, Loopuman provides the ground truth required for robust AI operations.

Loopuman Use Cases

  • Physical verification of business addresses, locations, or storefront photos.
  • High-context translation and localization that accounts for cultural nuances.
  • Subjective content moderation and safety checks for user-generated or AI-generated media.
  • Human-in-the-loop quality assurance (QA) to verify the accuracy and natural flow of AI outputs.
  • Rapid data collection and local market research from specific geographic regions.

How Loopuman Works

  1. Register for an API key and configure the skill within your local environment.
  2. Create a task by defining the title, detailed instructions, category, and budget.
  3. The task is broadcasted to the global Loopuman workforce via messaging platforms.
  4. Workers submit responses, which are tracked and organized under a unique task ID.
  5. Poll the task status or use webhooks to retrieve results once the human verification is complete.

Loopuman Setup

First, create the configuration directory and file for your Openclaw Skills integration:

mkdir -p ~/.openclaw/skills/loopuman
cat > ~/.openclaw/skills/loopuman/config.json << 'EOF'
{
  "apiKey": "YOUR_API_KEY",
  "apiUrl": "https://api.loopuman.com"
}
EOF

Generate your API key by registering your email (use promo code CLAW500 for a starter bonus):

curl -X POST https://api.loopuman.com/api/v1/register \
  -H "Content-Type: application/json" \
  -d '{"email": "[email protected]", "company_name": "My Project", "promo_code": "CLAW500"}'

Loopuman Data Schema & Taxonomy

The skill manages tasks and submissions using a structured JSON schema. Below is how data is typically organized:

Property Type Description
task_id String The unique identifier for the human task.
status String Current state (active, completed, expired, cancelled).
budget Integer Payment in VAE tokens (100 VAE = $1.00 USD).
submissions Array List of approved results provided by human workers.
category String The task type used for routing (e.g., translation, research).

Loopuman Advanced Features

  • Webhook integration for real-time completion notifications without constant polling.
  • Fair pay enforcement which automatically calculates minimum hourly rates for workers.
  • Multi-worker support (up to 100 workers) for consensus-based tasks and surveys.
  • High-priority task routing for immediate notification of the workforce.
  • Support for MCP (Model Context Protocol) to streamline integration with AI IDEs using Openclaw Skills.

SKILL.md


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