A dedicated security skill that identifies and audits dangerous shell command patterns before execution to prevent system compromise.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install run-command-safety-check
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install run-command-safety-check using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Command Execution Safety Inspector is a critical security layer designed for AI agents to prevent the execution of hazardous shell operations. By leveraging this tool within the Openclaw Skills ecosystem, developers can automatically scan scripts for pipe-to-shell vulnerabilities, recursive deletions, and obfuscated commands that might lead to data loss or security breaches. It acts as an automated auditor, ensuring that every shell-based task follows strict safety protocols.
This skill transforms raw command input into a structured security report, highlighting risks and suggesting safer alternatives. It is an indispensable asset for anyone using AI to automate terminal-based workflows, providing a necessary bridge between AI-generated code and secure system administration. By integrating these Openclaw Skills, you ensure that high-risk actions are flagged for manual review before any damage can occur.
To utilize this security tool within your Openclaw Skills environment, ensure Python 3 is installed on your system. Follow these configuration steps:
# Navigate to the skill directory
cd run-command-safety-check
# Execute a safety audit on a target script
python3 ./scripts/run.py --input your_script.sh --output safety_report.md
The Command Execution Safety Inspector organizes data using specific local resources to maintain consistency across audits:
| Resource | Type | Purpose |
|---|---|---|
| spec.json | Configuration | Defines the signatures for dangerous command patterns and security rules. |
| template.md | Markdown | The structural layout for generating consistent security reports. |
| run.py | Script | The core logic engine that performs the command parsing and risk analysis. |
| examples/ | Directory | Provides reference materials for expected safety check outputs. |
Loading
An intelligent scanning tool designed to identify upcoming deadline risks and scheduling conflicts across tasks, meetings, and messages.

A specialized security auditor that analyzes the permission requirements of scripts and skills to enforce least-privilege principles.

Automate the creation of tailored enablement packages for channel partners including FAQs, versioning, and resource lists.

A structured AI tool for designing Day 1, 7, and 30 onboarding milestones for customers and employees.

An AI-powered skill that converts technical SBOM data into prioritized, human-readable risk assessments.

A specialized tool for Openclaw Skills that transforms visual inspirations and screenshot context into structured, prioritized task lists.








































