An automated security auditing tool designed to inspect external repositories and downloaded code for malicious patterns and suspicious files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jason-security-audit
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 jason-security-audit 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 Security Audit Skill?
The security-audit skill is a critical protection layer for developers and researchers interacting with third-party code. By integrating directly into your development workflow, it provides automated heuristic checks for any Openclaw Skills or GitHub repositories before you execute them. It serves as a primary line of defense against malware disguised as legitimate tools or coding agents.
This tool specifically focuses on identifying red flags such as hidden executables, obfuscated shellcode, and discrepancies between a project documentation and its actual source code. Utilizing this skill within the ecosystem of Openclaw Skills ensures that every piece of external code is vetted for safety, maintaining the integrity of your local development environment and preventing the execution of unverified binaries.
Security Audit Skill Use Cases
- Cloning a new GitHub repository to inspect for hidden malicious scripts or binary executables.
- Auditing newly downloaded Openclaw Skills from the web before adding them to your local agent library.
- Verifying that the functionality described in a project README matches the actual logic found in the source code.
- Preventing the accidental execution of suspicious .exe, .bat, or .sh files included in untrusted packages.
How Security Audit Skill Works
- The skill scans the target directory to identify file types and determine their associated risk levels based on extensions.
- It performs content analysis on source code files to detect suspicious patterns like Base64 encoded payloads or shellcode signatures.
- The tool compares the documented features in the README against the actual codebase to identify potential deceptive content or mismatches.
- Based on the analysis, it generates a report categorizing the results as Safe, Warning, or Blocked.
- If critical issues are found, the skill provides immediate visual alerts and instructions to delete the content immediately.
Security Audit Skill Setup
To begin using this tool with your Openclaw Skills, ensure you have Python 3.8 or higher installed on your system.
# Navigate to the target repository or skill directory
cd /path/to/resource
# Run the security audit
python3 audit.py
# Run with verbose output for detailed analysis
python3 audit.py --verbose
You can also automate checks after cloning by chaining commands:
git clone <repo-url> && cd <repo> && python3 audit.py
Security Audit Skill Data Schema & Taxonomy
The security-audit skill organizes its findings based on risk severity and file classification metadata.
| Category | Description |
|---|---|
| File Risk | Categorizes files into Low (Source/Docs) or High (Executables/Binaries). |
| Content Detection | Identifies obfuscation, extremely long single lines (>50KB), and suspicious shellcode. |
| Audit Results | Generates a structured summary including PASSED, WARNING, or BLOCKED status. |
| Metadata Integration | Connects with other Openclaw Skills to provide automated auditing during the install lifecycle. |
Security Audit Skill Advanced Features
- Automatic integration with clawhub to audit Openclaw Skills immediately upon installation.
- Verbose output mode for deep-dive analysis of suspicious code patterns and network connection attempts.
- Support for exporting detailed audit reports to external text files for security compliance logging.
- Heuristic detection of deceptive malware patterns, specifically optimized for inspecting AI coding agent extensions.
SKILL.md
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