A specialized utility for generating structured HTML confirmation forms to collect organized feedback and decision-making data from users.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install confirm-form
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install confirm-form using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Confirm Form skill provides a robust framework for AI agents to request clarification or confirmation from users in a structured, professional manner. Instead of relying on cluttered chat messages, this tool generates a clean HTML interface that presents context, findings, and options clearly, facilitating complex decision-making processes within the ecosystem of Openclaw Skills.
By leveraging GitHub Gists for hosting and standardized JSON for data exchange, it ensures that every user interaction is traceable and easy to parse. This skill is particularly valuable for developer workflows where multiple points of uncertainty need to be resolved in a single batch, allowing the agent to continue its work with high confidence.
To integrate this functionality into your Openclaw Skills environment, follow these steps:
node scripts/generate.js questions.json
The skill utilizes a specific JSON structure for both questions and responses to ensure consistency across Openclaw Skills.
Question Schema:
| Field | Description |
|---|---|
| title | Clear and concise question title. |
| findings | Array of evidence items including content and source citations. |
| judgment | The AI's specific recommendation and reasoning. |
| options | A list of labels and rationales for the user to choose from. |
Response Schema:
| Field | Description |
|---|---|
| globalFeedback | High-level status (e.g., all_ok, need_more_info, discuss). |
| answers | Array containing selected labels and custom user comments for each question. |
| summary | Statistical overview of answered questions and agreement with AI judgment. |
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