A security-focused tool that audits Openclaw Skills for vulnerabilities, suspicious API calls, and malicious patterns prior to installation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install security-skill-scanner
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 security-skill-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Security Scanner is an essential utility for developers and users within the AI agent ecosystem, specifically designed to vet Openclaw Skills for potential threats. It acts as a gatekeeper, performing deep analysis on SKILL.md files to identify hidden external downloads, dangerous file system operations, and obfuscated commands that could compromise system integrity.
By providing a transparent risk assessment, this skill empowers users to make informed decisions about the tools they integrate into their workflows. It bridges the gap between automation and safety, ensuring that every addition to your local skill directory meets a high standard of security through rigorous pattern matching and behavioral auditing.
Install the skill via ClawHub or manually add the files to your local directory for Openclaw Skills. For optional command-line usage, use the following commands:
# Clone the repository
git clone https://github.com/anikrahman0/security-skill-scanner.git
cd security-skill-scanner
# Run the scanner manually
node scanner.js path/to/SKILL.md
The skill utilizes a structured configuration and produces detailed audit reports to help manage Openclaw Skills safely.
| Component | Description |
|---|---|
| Config File | .security-scanner-config.json containing whitelistedDomains and whitelistedCommands. |
| Scan Report | A Markdown-formatted output including Skill Name, Timestamp, Overall Risk, and Findings list. |
| Risk Levels | Categorized as CRITICAL, HIGH, MEDIUM, or LOW based on pattern severity. |
| Findings | Details including location (line number), detected pattern, risk description, and recommendation. |
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