An AI-native security suite providing static analysis, adversarial red teaming, and runtime monitoring for autonomous agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vext-shield
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 vext-shield 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 VEXT Shield?
VEXT Shield is a professional-grade security framework built specifically for the agentic era to protect Openclaw Skills from emerging AI-specific threats. Unlike traditional antivirus software, this suite identifies complex vulnerabilities like cognitive rootkits, prompt injections, and semantic worms that can compromise large language model workflows.
Developed by Vext Labs, the suite focuses on local-first security, ensuring that all analysis is performed on-device without external network requests. By enforcing strict kernel-level sandboxing on macOS and Linux, VEXT Shield allows developers to audit and red-team third-party code safely, providing a robust layer of defense for any AI agent deployment.
VEXT Shield Use Cases
- Scanning third-party Openclaw Skills for malicious regex patterns or encoded payloads before deployment.
- Auditing local installations to identify misconfigured API key storage or insecure file permissions.
- Executing automated adversarial test batteries to verify a skill's resilience against prompt injection and privilege escalation.
- Implementing a runtime policy firewall to restrict network access for specific AI agents using default-deny allowlists.
How VEXT Shield Works
- The security engine identifies the target skill and creates a temporary execution copy to ensure the original files remain unmodified.
- VEXT Shield strips sensitive environment variables and restricts the PATH to prevent unauthorized access to credentials or system tools.
- The suite initiates OS-level sandboxing using sandbox-exec on macOS or network namespaces (unshare) on Linux to isolate the execution environment.
- Analysis modules perform static AST analysis and behavioral monitoring against a database of over 227 threat signatures.
- Post-execution diffing detects any unauthorized filesystem changes, and findings are aggregated into a local security dashboard.
VEXT Shield Setup
VEXT Shield requires Python 3.10+ and OS-level sandboxing support. Install the suite and initialize the individual modules using the following commands:
# Run a full static scan of all installed components
python3 skills/vext-scan/scan.py --all
# Audit your environment configuration
python3 skills/vext-audit/audit.py
# Perform adversarial testing on a specific directory
python3 skills/vext-redteam/redteam.py --skill-dir /path/to/skill
VEXT Shield Data Schema & Taxonomy
VEXT Shield maintains a strict local-only data taxonomy to ensure the privacy of your Openclaw Skills. All reporting data is structured as follows:
| Path | Purpose | Format |
|---|---|---|
~/.openclaw/vext-shield/reports/ |
Storage for scan, audit, and red-team results | JSON / Plain Text |
~/.openclaw/vext-shield/firewall/ |
Configuration for per-skill network and file access policies | JSON |
temp/ |
Ephemeral directory for sandboxed skill execution and snapshot diffing | Filesystem Mirror |
VEXT Shield Advanced Features
- Kernel-level sandbox enforcement that refuses execution on unsupported operating systems to prevent security bypasses.
- Automated behavioral red teaming with 24 distinct prompt injection payloads and 6 adversarial test batteries.
- Real-time file integrity monitoring and outbound connection blocking via a policy-driven firewall.
- Comprehensive security dashboard that aggregates threat intelligence across all your Openclaw Skills into a single posture report.
SKILL.md
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