ClawShield is a specialized security utility that audits local OpenClaw installations for vulnerabilities and prompt injection patterns.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawshield
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 clawshield 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 ClawShield?
ClawShield is an essential security layer designed to audit the posture of local OpenClaw environments. It serves as a comprehensive detector for prompt injection (PI) patterns, gateway vulnerabilities, and unauthorized cron modifications. By providing a structured way to monitor and harden your AI setups, it ensures that your automated workflows remain secure and resilient against malicious inputs. As a standout entry among Openclaw Skills, it focuses on local-only scanning to maintain data privacy while providing actionable security insights.
The tool is designed for developers and system administrators who need to frenzy-proof their installs. Whether you are running a single agent or a complex multi-agent system, ClawShield offers the peace of mind required to deploy AI solutions in production-like environments without exposing hidden vulnerabilities.
ClawShield Use Cases
- Detecting and mitigating prompt injection attempts in AI agent workflows.
- Conducting routine security audits of local gateway ports and system configurations.
- Automating security reporting to ensure compliance with local safety standards.
- Hardening OpenClaw installations before exposing them to complex or untrusted inputs.
How ClawShield Works
- The user configures the security parameters, such as scan frequency and sensitivity levels, using the integrated CLI or web-based panel.
- The audit engine executes a series of localized scripts to scan the filesystem and network configuration for known vulnerability patterns.
- The system specifically analyzes prompt patterns to identify potential injection risks that could compromise the AI agent.
- A detailed JSON report is generated and stored locally, capturing the current security state.
- If configured, the skill triggers external alerts via channels like Telegram when high-risk vulnerabilities are detected.
ClawShield Setup
To integrate this security tool into your collection of Openclaw Skills, follow these steps:
1. Launch the Management Panel
node scripts/panel-server.js
Navigate to http://localhost:8133 to manage scans and view logs.
2. Configure Scan Parameters Adjust your sensitivity and alert settings via the CLI:
node scripts/config.js set Scan_freq daily alerts telegram sensitivity high
3. Execute a Manual Security Audit Run the audit script to generate an immediate report:
bash scripts/audit.sh > report.json
ClawShield Data Schema & Taxonomy
ClawShield organizes its security data and configurations into a predictable file structure to support easy integration with other Openclaw Skills.
| Data Component | Location | Description |
|---|---|---|
| Configuration | config.yaml |
Stores user-defined settings for frequency, alerts, and sensitivity. |
| Audit Reports | logs/last-report.json |
The most recent security scan results in a structured JSON format. |
| Audit Logic | scripts/audit.sh |
The core bash script responsible for scanning the local environment. |
| UI State | scripts/panel-server.js |
Manages the local web server for the security dashboard. |
ClawShield Advanced Features
- Prompt Injection Detection: Advanced pattern matching to identify malicious instructions intended to hijack AI agents.
- Local-Only Architecture: Ensures that no security data or scan results are transmitted outside of the localhost environment.
- Automated Alerting: Configurable notification hooks for real-time security alerts via Telegram.
- Flexible Sensitivity Scaling: Allows users to tune the detection engine based on their specific risk tolerance (Low, Medium, High).
- SIEM Ready: Produces standardized JSON output that can be easily ingested by external monitoring and logging platforms.
SKILL.md
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