amee-joshi-data-engineering-portfolio

Pass

Audited by Gen Agent Trust Hub on May 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns detected. The skill consists of legitimate documentation and code examples for Azure Data Engineering.
  • [CREDENTIALS_SAFE]: The code snippets demonstrate security best practices by using Azure Key Vault (dbutils.secrets.get) instead of hardcoding credentials.
  • [DATA_EXPOSURE]: No sensitive local file access or unauthorized data exfiltration patterns were found. Network references target well-known and expected Azure and Microsoft domains.
  • [REMOTE_CODE_EXECUTION]: No evidence of remote script execution (curl/wget | bash) or dynamic code execution (eval/exec) of untrusted input.
  • [PROMPT_INJECTION]: No instructions attempting to override agent behavior or bypass safety guidelines were found.
Audit Metadata
Risk Level
SAFE
Analyzed
May 28, 2026, 11:57 PM
Security Audit — agent-trust-hub — amee-joshi-data-engineering-portfolio