Protects restricted project files by validating all modifications against ignore rules before committing changes.
Safety Validation provides a critical security layer for AI-driven development by enforcing boundaries defined in .agentignore files. It automatically scans modified paths to ensure that sensitive configurations, private credentials, or core infrastructure files remain untouched by the AI agent. By halting execution upon detection of forbidden path access and maintaining a detailed audit trail in ACTION_LOG.md, it ensures reliable, safe, and compliant autonomous coding workflows.
Key Features
01Pre-commit modification blocking
02Comprehensive ACTION_LOG.md recording
03Protection of sensitive project directories
04Automated .agentignore path verification
05Customizable exclusion rule enforcement
060 GitHub stars
Use Cases
01Maintaining strict compliance and audit logs for AI-driven contributions
02Preventing accidental modification of environment secrets or private keys
03Protecting legacy codebases where specific files must remain unchanged
