Claw Operations Manager

What to consider before installing or enabling this skill: - The skill includes code that, if you follow its integration steps, will capture and log essentially all tool calls and filesystem changes. This is consistent with an audit tool, but it also means it can see sensitive data (files, command arguments, keys in ~/.ssh, etc.). Only enable monitoring of sensitive paths after reviewing the code. - Metadata omissions: the package metadata claims no required binaries or config paths but the README and scripts expect git, Python, and a workspace under ~/.openclaw (audit.db, snapshots). Verify presence of git and sqlite and be aware the skill will create repositories and a DB in your home directory. - Don't apply global changes immediately. In particular: - Do not add the suggested shell alias to your global shell rc files until you've reviewed audit_wrapper.sh and tested it in a safe environment. - Avoid modifying OpenClaw core execution flow until you've audited the integration code (scripts/auto_audit.py, scripts/audited_ops.py) to ensure it only logs locally and does not transmit data externally. - Inspect network usage: grep the code for outbound network operations (requests, urllib, socket, subprocess calls to curl/wget) and any hard-coded remote endpoints before running the server. If the web UI binds only to localhost that reduces remote exposure, but double-check server code for host/port and CORS or callbacks. - Review data storage and protections: the skill stores audit.db and snapshots under ~/.openclaw. Ensure you understand retention, access controls, and encryption (it recommends chmod 600 for audit.db). Consider placing the workspace in a sandbox/container or on a test machine first. - Test in a sandbox: run the code inside a disposable VM or container, exercise audit and rollback flows, and verify that restores behave as documented and that no data leaves the machine. - If you lack time/expertise: ask for a short code review focusing on server_*.py, audited_ops.py, audit_wrapper.sh, setup_auto_audit.sh, snapshot.py, and any code that handles network I/O or subprocess execution. If those files are audited and acceptable, follow the recommended least-privilege steps: limit monitored paths, avoid auto-integration, and lock down the web UI to localhost with authentication. If you want, I can (a) list the specific files you should inspect first, (b) search the tree for network calls and subprocess exec patterns, or (c) help craft safer integration steps (e.g., run in container, limit paths, enable auth).