A powerful Openclaw Skills integration that enables AI agents to automate application security testing and vulnerability management through the Membrane framework.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install whitehat-security
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 whitehat-security using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
WhiteHat Security is a leading SaaS platform dedicated to application security testing, helping organizations identify and remediate vulnerabilities within their digital ecosystem. This integration, part of the Openclaw Skills library, allows security engineers and developers to programmatically interact with assets, findings, and projects.
By leveraging the Membrane framework, this skill removes the friction of manual authentication and credential management. It provides a secure bridge for AI agents to perform complex security workflows, ensuring that your security posture is monitored and improved with minimal manual intervention.
First, install the necessary CLI tool globally:
npm install -g @membranehq/cli@latest
Next, authenticate your agent to the platform:
membrane login --tenant --clientName=openclaw
Finally, establish a secure connection to the WhiteHat Security service:
membrane connection ensure "https://www.whitehatsec.com/" --json
The skill organizes security data into the following core entities:
| Entity | Description |
|---|---|
| Asset | The target website or application being scanned for vulnerabilities. |
| Finding | Specific security vulnerabilities or issues identified on an asset. |
| Project | A collection of security tasks and assets grouped for management. |
| User/Org | Identity and permission metadata for the security workspace. |
All interactions return structured JSON, including inputSchema for parameters and outputSchema for easy parsing by AI agents.
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