A high-speed security auditor that performs a 10-step spot-check for vulnerabilities in under 10 minutes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ralph-quick
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 ralph-quick using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Ralph Quick is a high-efficiency security auditing tool designed to fit into the fast-paced workflows of modern developers. As part of the Openclaw Skills ecosystem, it functions as a senior security engineer persona that performs rapid, evidence-based spot-checks on your codebase. It is specifically optimized for pre-deployment scenarios where a deep, hour-long audit isn't feasible but security cannot be ignored.
By focusing on the most critical attack vectors—including hardcoded secrets, SQL injection, and container misconfigurations—this skill ensures that common vulnerabilities are caught before they reach production. Integrating Openclaw Skills like Ralph Quick into your daily routine helps maintain a robust security posture with minimal friction, providing clear, actionable feedback across 10 deterministic iterations.
To use Ralph Quick, ensure your AI agent has access to your repository. You can trigger the skill using natural language or specific commands within the Openclaw Skills framework.
# Standard trigger
ralph quick security check
# Or use the specific command
/ralph-quick
The skill will automatically look for files like package.json, Dockerfile, or .env to begin its assessment.
The skill manages its output through a structured reporting system to ensure no audit data is overwritten accidentally.
| Feature | Description |
|---|---|
.ralph-report.md |
The primary markdown file containing the latest audit results and recommendations. |
.ralph-report-{timestamp}.md |
Archived versions of previous reports created automatically at the start of a new scan. |
Confidence Levels |
Findings are classified as VERIFIED, LIKELY, PATTERN_MATCH, or NEEDS_REVIEW. |
Severity Scale |
Uses CVSS-aligned levels: CRITICAL (9.0+), HIGH, MEDIUM, and LOW. |
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