A comprehensive security platform for AI agents providing static scanning, runtime protection, and sensitive data loss prevention.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-defender
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 agent-defender 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 Agent Defender?
Agent Defender is a specialized security framework designed to safeguard the execution of autonomous agents. It functions as a robust shield within the Openclaw Skills ecosystem, ensuring that third-party skills and agent behaviors adhere to strict security protocols through a multi-layered defense strategy.
By combining YARA-based static analysis with active system monitoring, Agent Defender prevents malicious code execution and unauthorized data exfiltration. It is an essential tool for developers and organizations that require high-integrity AI operations and strict Data Loss Prevention (DLP) standards.
Agent Defender Use Cases
- Scanning third-party skills for malicious patterns before deployment.
- Real-time monitoring of agent system calls to prevent unauthorized behavior.
- Automating sensitive data masking and desensitization in agent logs and outputs.
- Conducting security audits on local AI workspaces to maintain compliance.
How Agent Defender Works
- The Static Scanner performs YARA rule matching and AST analysis on skill source code to detect vulnerabilities.
- The Runtime Monitor hooks into system events to track and intercept suspicious agent activities during execution.
- The DLP engine parses data streams to identify and desensitize sensitive information based on predefined data types.
- Detailed security logs are generated to provide an audit trail of all blocked threats and scanned assets.
Agent Defender Setup
To begin securing your environment, ensure the skill is located in your workspace and use the following commands:
# Navigate to the skill directory
cd ~/.openclaw/workspace/skills/agent-defender
# Perform a comprehensive security scan on a specific path
python3 defender.py scan <path>
# Start the continuous runtime security monitor
python3 runtime/monitor.py
Agent Defender Data Schema & Taxonomy
Agent Defender organizes its security logic and outputs through a structured directory and configuration system:
| Component | File / Path | Description |
|---|---|---|
| Configuration | config.json |
Defines rule thresholds, sensitive data patterns, and audit levels. |
| Scanner | /scanner/ |
Contains YARA rules and AST analysis logic. |
| Runtime | /runtime/ |
Logic for system monitoring and behavioral interception. |
| DLP | /dlp/ |
Data loss prevention modules and desensitization scripts. |
Agent Defender Advanced Features
- Custom YARA rule integration for specialized threat detection.
- Granular permission detection to limit agent access to the filesystem.
- Real-time intercept hooks to block high-risk system commands automatically.
- Configurable DLP thresholds to balance security with data utility.
SKILL.md
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