Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Loopuman routes agent tasks to human workers for judgment, verification, or real-world actions that automated tools can't handle reliably. Workers are paid instantly in cryptocurrency. Agents can block and wait for a response or post tasks asynchronously and poll later.
It lets agents delegate tasks requiring human judgment without building or managing a separate workforce pipeline.
When to use it
- Checking if a product review is genuine or AI-generated
- Moderating user-submitted content before it goes live
- Fact-checking claims in agent-generated reports
- Labeling images or text for machine learning datasets
- Transcribing audio files that automated tools get wrong
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Is this product review genuine or fake? 'Amazing product, changed my life, 5 stars!'
- 1Receives the review text to evaluate
- 2Calls ask_human with a clear task description and sets budget_cents to 50
- 3Waits for a human worker to read and respond (up to 5 minutes by default)
- 4Returns the worker's reasoning and verdict to the user
Human worker flags the review as likely fake, citing its generic language, lack of product specifics, and common fake review patterns
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.