askhuman

What This Skill Does

AskHuman serves as a critical bridge between raw AI processing and human-centric decision-making. While AI models excel at logical tasks, they often struggle with the nuanced, subjective nature of human perception, aesthetics, and trust. The AskHuman skill allows an OpenClaw agent to programmatically request feedback from real people to validate output quality, tone, and appropriateness before executing high-stakes actions. By integrating human judgment into the agent loop, you ensure that your agent's output aligns with cultural expectations, professional branding, and complex emotional contexts that machines simply cannot replicate.

Installation

To integrate AskHuman into your OpenClaw workflow, use the following command in your terminal: clawhub install openclaw/skills/skills/hagiss/askhuman Ensure your agent has the necessary USDC funds on the Base network if you intend to create paid validation tasks, as the escrow system requires EIP-2612 permit signatures for secure, non-custodial transactions.

Use Cases

AskHuman is best utilized in scenarios where the cost of failure is high or where the success metric is subjective. Common use cases include:

• Brand Design & Marketing: Determining which visual asset, marketing copy, or slogan resonates most effectively with a target demographic.
• Tone Modulation: Ensuring that drafted communications for public-facing or sensitive interactions maintain the correct emotional professionalism.
• Verification Loops: Using human judgment to verify the accuracy of AI-generated content before it is published to social media or sent to clients.
• UX Testing: Getting live user feedback on conversational flows or interface suggestions generated by your agent.

Example Prompts

1. "AskHuman, please show these two promotional email drafts to a user and ask which one sounds more empathetic and professional before I send it to my client list."
2. "I need to choose a new logo variant. Use the AskHuman skill to run a CHOICE task with these three variations and report back the preferred option."
3. "Verify this financial summary with a human expert before I update the public record on our dashboard."

Tips & Limitations

• Cost Efficiency: Always start with volunteer tasks for non-critical feedback, reserving paid tasks for high-priority decisions where speed is essential.
• Deadline Sensitivity: Remember that human-in-the-loop tasks are asynchronous. Ensure your agent workflow includes a logic block to wait for the taskStatus to reach a completed state before proceeding.
• Clear Prompts: The quality of the human feedback depends heavily on the clarity of your prompt; provide as much context as possible to the human reviewers.