A comprehensive security layer for Openclaw Skills that combines static analysis and AI-driven behavioral code review.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-security-suite
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 openclaw-security-suite 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 OpenClaw Security Suite?
The OpenClaw Security Suite provides a robust protection layer designed specifically for developers and users of Openclaw Skills. It addresses the inherent security risks associated with executing third-party code by implementing a dual-layer defense mechanism. By integrating this skill into your workflow, you can ensure that the AI agents and tools you interact with adhere to strict security standards, preventing the execution of malicious scripts or unauthorized data exfiltration.
This tool is essential for maintaining a secure coding environment. It allows users to perform deterministic static scans on directory structures to catch known threats like blocked imports or dangerous keywords. Additionally, it leverages Large Language Models (LLMs) to perform semantic reviews of specific files, identifying sophisticated behavioral threats that traditional scanners might miss within the ecosystem of Openclaw Skills.
OpenClaw Security Suite Use Cases
- Validating third-party Openclaw Skills before installation to ensure they don't contain malicious patterns.
- Auditing internal codebases for dangerous function calls like eval or child_process execution.
- Performing deep semantic analysis with AI to detect hidden data exfiltration attempts or credential leaks.
- Automating security checks within a development lifecycle to maintain high safety standards for all Openclaw Skills.
How OpenClaw Security Suite Works
- The user initiates a request by providing a target path and choosing an action: scan for static analysis or review for AI behavioral analysis.
- For static scanning, the engine parses files to detect blocked modules, sensitive file access, and suspicious regex patterns.
- For AI review, the content of the file is sent to the active LLM context for a deep semantic security evaluation.
- The system assesses findings against a database of known security risks and behavioral anomalies specifically relevant to Openclaw Skills.
- A structured JSON report is returned, providing a safety status, risk level, and a detailed explanation of any detected issues.
OpenClaw Security Suite Setup
To get started with the OpenClaw Security Suite, ensure you have Node.js installed in your environment. You can then configure the skill within your agent environment to begin auditing your Openclaw Skills.
# Verify that Node.js is installed
node -v
# The skill can be invoked via the OpenClaw Skill manager
# No additional environment variables are required except an active LLM for reviews
OpenClaw Security Suite Data Schema & Taxonomy
The OpenClaw Security Suite generates structured data that helps developers quickly interpret the security posture of their Openclaw Skills. The schema varies slightly between static scans and AI reviews:
| Property | Description | Example Value |
|---|---|---|
safe |
Boolean indicating if the scan passed | true |
results |
List of identified issues (Static Scan) | [{ "file": "index.ts", "issues": [...] }] |
risk_level |
Severity of the found threat (AI Review) | "high" |
reason |
Detailed explanation of the security risk | "Obfuscated shell execution detected" |
This taxonomy ensures that security data is machine-readable and actionable for any developer using Openclaw Skills.
OpenClaw Security Suite Advanced Features
- Multi-stage threat detection combining deterministic AST scanning with semantic AI reasoning.
- Real-time identification of data exfiltration and credential leaks within Openclaw Skills.
- Comprehensive checks for blocked modules such as child_process and cluster to prevent shell escape.
- Detailed risk reporting that provides actionable insights into why specific code segments are considered dangerous.
SKILL.md
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