date-normalizer

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [Unverifiable Dependencies & Remote Code Execution] (SAFE): The skill specifies standard, well-known Python libraries (pandas and python-dateutil) in its requirements file, which are appropriate for its stated purpose.
  • [Indirect Prompt Injection] (SAFE): The skill has a data ingestion surface through date string parsing and CSV processing; however, it lacks any high-privilege capabilities such as shell access or network communication that could be exploited. 1. Ingestion points: CSV files and date strings. 2. Boundary markers: Absent. 3. Capability inventory: Local file-write only. 4. Sanitization: Absent.
  • [Data Exposure & Exfiltration] (SAFE): No sensitive file paths, hardcoded credentials, or unauthorized network operations were detected in the skill definition or requirements.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 06:03 PM