deep-work
Pass
Audited by Gen Agent Trust Hub on Jul 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns detected.
- The skill implements its logic using Python scripts that rely exclusively on the standard library, ensuring a transparent and verifiable execution environment.
- Analysis confirms no remote code downloads, external script executions, or unverifiable dependencies are present.
- [SAFE]: Secure data management.
- Data persistence is managed through a local JSON file in a dedicated hidden directory (~/.deep-work/) within the user's home folder.
- This approach is consistent with standard practices for local state management and does not involve unauthorized data access, sensitive file exposure, or hardcoded credentials.
- [SAFE]: No network activity detected.
- All scripts (shallow_work_auditor.py, time_block_planner.py, focus_session_logger.py) were reviewed for network operations.
- No functions related to HTTP requests, socket communication, or remote data exfiltration were found.
- [SAFE]: No dynamic execution risks.
- Input processing is limited to deterministic classification and scheduling based on task names and durations.
- There is no usage of eval(), exec(), or subprocess calls that could be exploited for command injection or arbitrary code execution.
Audit Metadata