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
Risk Level
SAFE
Analyzed
Jul 17, 2026, 11:27 PM
Security Audit — agent-trust-hub — deep-work