skills/mukul975/privacy-data-protection-skills/designing-privacy-preserving-analytics/Gen Agent Trust Hub
designing-privacy-preserving-analytics
Pass
Audited by Gen Agent Trust Hub on Jun 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is primarily educational, providing frameworks and methodologies for GDPR-compliant data anonymization.
- [PROMPT_INJECTION]: No instructions were found that attempt to override agent behavior, bypass safety filters, or extract system prompts.
- [EXTERNAL_DOWNLOADS]: The documentation references official GitHub repositories for established privacy libraries from Google, OpenDP (Harvard/Microsoft), and IBM. These are well-known and trusted sources for privacy technology.
- [COMMAND_EXECUTION]: The Python script
scripts/process.pyis self-contained and uses only standard mathematical and data manipulation libraries (math, random, collections) without invoking shell commands or external processes. - [DATA_EXFILTRATION]: No network operations, credential access, or sensitive file path interactions were detected. The script processes data entirely in-memory.
Audit Metadata