A secure sudo-protocol for AI agents that requires manual human approval before executing destructive, financial, or infrastructure-level actions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install letsping
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 letsping using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
letsping is a critical safety layer designed for autonomous agents, implementing a human-in-the-loop approval workflow for sensitive operations. By acting as a secure escalation point, it ensures that your agent does not perform high-risk tasks—such as modifying production infrastructure or executing financial transactions—without explicit authorization. This skill is a vital addition to any professional implementation of Openclaw Skills, offering a robust mechanism to maintain human oversight over autonomous logic.
Built on the sudo protocol, letsping forces the agent to call a specialized tool whenever a risk threshold is met. This tool blocks execution and notifies the user via a Progressive Web App (PWA), where the payload can be reviewed, edited, or rejected. Only after a human provides the green light does the agent receive the authorized payload to proceed, significantly reducing the surface area for autonomous errors or prompt injection exploits.
To integrate this safety layer into your Openclaw Skills setup, follow these installation steps:
npm install @letsping/openclaw-skill
Alternatively, you can clone the repository directly into your local workspace:
git clone https://github.com/CordiaLabs/openclaw-skill ~/.openclaw/workspace/skills/letsping
cd ~/.openclaw/workspace/skills/letsping
npm install
Finally, configure your environment by setting the LETSPING_API_KEY. You can obtain this key by pairing your agent at the official letsping website.
The letsping skill handles structured data to ensure transparency during the human-in-the-loop process. Below is the schema used for escalation requests:
| Property | Type | Description |
|---|---|---|
tool_name |
String | The exact name of the high-risk tool the agent intends to use. |
args_json |
String | A stringified JSON object containing the original arguments for the tool. |
risk_reason |
String | A clear explanation of the potential risk (e.g., 'Destructive file deletion'). |
status |
String | The outcome of the human review (approved, rejected, or patched). |
executed_payload |
JSON | The final, authorized payload returned to the agent for execution. |
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