safe-exec-0-3-2Safe command execution for OpenClaw Agents with automatic danger pattern detection, risk assessment, user approval workflow, and audit logging. Use when agents need to execute shell commands that may be dangerous (rm -rf, dd, fork bombs, system directory modifications) or require human oversight. Provides multi-level risk assessment (CRITICAL/HIGH/MEDIUM/LOW), in-session notifications, pending request management, and non-interactive environment support for agent automation.
Install via ClawdBot CLI:
clawdbot install lucky-2968/safe-exec-0-3-2Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/OTTTTTO/safe-exec/issuesPotentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://github.com/OTTTTTO/safe-exec/issuesGenerated Mar 1, 2026
Integrate SafeExec into CI/CD pipelines to automatically intercept and require approval for high-risk commands like system modifications or deletions during deployments. This prevents accidental destructive actions in production environments, ensuring only authorized personnel can approve critical operations via in-session notifications.
Use SafeExec in IT teams managing servers and networks to monitor shell commands for risky operations such as formatting drives or deleting system files. It provides audit logging for compliance and real-time alerts, reducing human error and enhancing security oversight in multi-user environments.
Deploy SafeExec in data science environments where automated scripts may execute commands that could delete datasets or modify configurations. It assesses risk levels and prompts for approval, protecting valuable data assets while allowing safe operations like file listings to proceed uninterrupted.
Implement SafeExec in educational settings where students use OpenClaw agents for learning shell commands. It intercepts dangerous operations like recursive deletions, providing a safety net that teaches best practices without risking system integrity, with audit logs for instructor review.
Adopt SafeExec for MSPs managing client systems to enforce approval workflows for high-risk commands across multiple environments. It enables centralized audit logging and risk assessment, improving accountability and reducing the chance of service disruptions from agent errors.
Offer SafeExec as a free, open-source tool to build community adoption, while generating revenue through paid support plans for enterprises. This includes priority bug fixes, custom rule configurations, and dedicated assistance for integration into complex workflows.
Develop a cloud-based version of SafeExec that integrates with various AI agent platforms beyond OpenClaw, providing centralized management and analytics. Revenue comes from tiered subscriptions based on usage volume, advanced features like AI-driven risk prediction, and API access.
License SafeExec to large organizations with custom deployments, including on-premise installations and tailored rule sets. Additional revenue is generated from consulting services for implementation, training, and ongoing maintenance to ensure compliance with industry security standards.
💬 Integration Tip
Enable SafeExec with a simple command like 'Enable SafeExec' after installation, and configure environment variables such as SAFE_EXEC_AUTO_CONFIRM for low-risk commands to streamline automation without compromising safety.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.github.comAudited Apr 17, 2026 · audit v1.0
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