A comprehensive security framework for AI coding agents that provides real-time command scanning, sandbox isolation, and hierarchical permission management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-security-guard
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 ai-security-guard 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 AI Security Guard Pro?
AI Security Guard Pro is an advanced security layer designed to safeguard environments using Openclaw Skills. It acts as a sophisticated firewall for AI agents, specifically optimized for Claude Code, by intercepting and analyzing every command before execution. By implementing regex-based pattern matching and multi-layer permission strategies, it ensures that AI-driven development remains safe and predictable.
This skill addresses the inherent risks of giving AI agents terminal access by categorizing operations into risk levels. From preventing catastrophic disk writes to enforcing read-only modes for code audits, AI Security Guard Pro provides developers with the granular control needed to deploy AI agents in sensitive production or development environments without compromising system integrity.
AI Security Guard Pro Use Cases
- Prevent accidental execution of destructive system commands like recursive deletions or disk formatting.
- Enforce strict read-only access for AI agents when performing security audits or documentation tasks.
- Manage risky operations such as remote script downloads and global package installations through prompt-based approvals.
- Implement resource-constrained sandboxes for high-risk commands to limit memory usage and directory access.
How AI Security Guard Pro Works
- The system intercepts the agent's tool execution request through a pre-tool hook mechanism.
- The requested command is scanned against a database of dangerous patterns, identifying risks like recursive deletion or unauthorized privilege escalation.
- A classification engine evaluates the command risk level as Critical, High, Medium, or Low.
- Permission rules are checked across a hierarchy of sources, starting from command-line arguments down to global configurations.
- Based on the risk and rules, the system decides to allow the action, deny it immediately, or ask the user for explicit permission.
- If approved, the command is executed within a configured sandbox that restricts directory access and network usage.
- Every security decision and command outcome is recorded in an audit log for future review and compliance.
AI Security Guard Pro Setup
To integrate this safety layer into your environment using Openclaw Skills, configure your permissions and initialize the security engine:
- Install the core security module:
npm install @openclaw/security-guard
- Create a project-level permission configuration (e.g.,
security.json):
{
"permissions": {
"project": {
"allow": ["git *", "npm test"],
"deny": ["rm -rf", "chmod 777"]
}
}
}
- Register the security hooks in your agent initialization script to begin monitoring all bash operations.
AI Security Guard Pro Data Schema & Taxonomy
AI Security Guard Pro utilizes structured metadata to manage security policies and logs. The following table outlines the primary data structures:
| Component | Format | Purpose |
|---|---|---|
| ClassificationResult | Object | Stores decision (allow/deny/ask), risk level, and reason for the scan result |
| PermissionRule | Object | Defines behaviors for specific command patterns across different scopes |
| SandboxConfig | Object | Sets execution limits such as timeout (ms), memoryLimit (MB), and directory blocklists |
| AuditLog | Object | Captures command history including timestamp, userId, and security decision |
AI Security Guard Pro Advanced Features
- Multi-layer permission hierarchy allowing overrides at the CLI, session, project, or global level.
- Context-aware pre-compaction hooks that detect and protect sensitive data before context window optimization.
- Customizable sandbox isolation with granular control over network access and filesystem visibility.
- Programmable error handling strategies allowing developers to choose between logging, warning, or throwing exceptions on security breaches.
SKILL.md
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