A powerful integration for automating Checkmarx static application security testing and vulnerability management workflows within your AI coding environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install checkmarx
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install checkmarx using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Checkmarx?
The Checkmarx skill enables AI agents to interact directly with the Checkmarx SAST platform to identify and remediate source code vulnerabilities early in the software development lifecycle. By leveraging Openclaw Skills, developers and security teams can automate the management of projects, scans, and risk reports without the typical manual security overhead. This integration abstracts complex authentication and API plumbing through the Membrane CLI, providing a secure and streamlined way to embed security intelligence into automated coding workflows.
Checkmarx Use Cases
- Automating source code vulnerability scans during the development process.
- Retrieving and analyzing scan risk reports to prioritize security fixes.
- Managing Checkmarx projects and custom queries through natural language commands via Openclaw Skills.
- Triggering security workflows and compliance checks based on specific code changes or deployment events.
How Checkmarx Works
- The AI agent initializes the environment using the Membrane CLI to handle secure authentication and session management.
- A connection is established to the Checkmarx instance, where Openclaw Skills manage the underlying API handshakes and domain normalization.
- The agent searches for specific security actions, such as starting a scan or fetching a report, based on the user's natural language intent.
- Commands are executed through the Membrane runner, which handles data normalization, pagination, and credential refreshing automatically.
- The resulting security data or scan results are returned to the agent for further analysis or automated remediation tasks.
Checkmarx Setup
To begin using this skill, install the Membrane CLI to enable Openclaw Skills for Checkmarx:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Establish a secure connection to your Checkmarx instance:
membrane connection ensure "https://your-checkmarx-instance.com" --json
Once the connection state is READY, you can begin discovering and running security actions.
Checkmarx Data Schema & Taxonomy
The skill organizes security data into structured entities. When utilizing these Openclaw Skills, the data is typically organized as follows:
| Entity | Description | Key Metadata |
|---|---|---|
| Project | The logical grouping of source code files. | Project ID, Name, Team |
| Scan | An individual security analysis instance. | Scan ID, Status, Risk Level |
| Risk Report | Detailed findings from a completed scan. | Vulnerability Count, Severity, High/Med/Low counts |
| Query | Custom logic for filtering security data. | Query ID, Name, Version |
Checkmarx Advanced Features
- Intelligent action discovery allows agents to find the right security tools using natural language intent through Openclaw Skills.
- Transparent proxy requests enable direct API access with automatic header injection and background credential refresh.
- Multi-agent optimization specifically tuned for harnesses like Openclaw, Claude, and Windsurf.
- Long-polling support for asynchronous operations, such as waiting for large security scans to complete.
SKILL.md
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