deep-work
Pass
Audited by Gen Agent Trust Hub on Aug 22, 2026
Risk Level: SAFECOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill's primary logic is contained within local Python scripts (
scripts/calendar_fragmentation.pyandscripts/session_log_analyzer.py). These scripts perform mathematical analysis on user data using only the Python standard library and do not request network access, perform privileged system operations, or interact with external servers. - [COMMAND_EXECUTION]: The instructions direct the agent to execute the included Python scripts and perform basic file system operations such as directory creation (
mkdir) to manage analysis reports. These operations are transparently defined and aligned with the skill's stated productivity purpose. - [INDIRECT_PROMPT_INJECTION]: The skill processes external data (calendar exports and session logs) which presents a potential attack surface for indirect prompt injection.
- Ingestion points: External JSON files provided via the
--inputargument to the Python scripts. - Boundary markers: The scripts utilize standard JSON parsing; there are no explicit prompt isolation markers defined for the data when it is subsequently processed by the agent.
- Capability inventory: The scripts are restricted to local file reading and writing to standard output; they do not have network access or dynamic execution capabilities (e.g., eval/exec).
- Sanitization: The scripts perform validation on the JSON structure and verify the presence of required data fields (e.g., date, start, end) during analysis.
Audit Metadata