Sentinel - AI Agent State Guardian

Automated backup, integrity monitoring, and self-healing for AI agent workspaces. Detects unexpected changes, creates automatic backups, self-heals from corr...

This skill appears to do what it says: local monitoring, backup, manifest, and restore. Before installing or running it, do the following: 1) Review and edit sentinel_config.py to point WORKSPACE_ROOT only at the workspace you intend to monitor (do NOT set it to / or other system-wide paths). 2) Set BACKUP_DIR to a location with sufficient space, ideally on a separate disk or encrypted volume; be aware backups are stored unencrypted and can contain secrets. 3) Set STATE_FILE, LOG_FILE, and ALERT_FILE to safe paths and verify file permissions. 4) Disable AUTO_RESTORE_ON_CORRUPTION until you run several --once cycles and confirm behavior. 5) Run python3 sentinel.py --once to test and inspect generated backups and state files. 6) If you need off-site archival or encryption, integrate a separate tool (rclone, encrypted disk) as suggested in LIMITATIONS.md. 7) Because the code is included and uses only stdlib, you can audit the files locally; if you need network/webhook alerting, note WEBHOOK_URL is optional/not implemented and would require configuration to contact external endpoints.

Type: OpenClaw Skill Name: sentinel Version: 1.0.1 The Sentinel skill bundle is a legitimate utility designed for monitoring file integrity and performing automated backups within an AI agent's workspace. The code (sentinel.py, sentinel_manifest.py, sentinel_restore.py) uses standard Python libraries to perform SHA-256 hashing, directory walking, and file copying without any evidence of data exfiltration, obfuscation, or unauthorized execution. The instructions in SKILL.md correctly guide the AI agent on how to use the tool for its stated purpose of state protection and recovery.