prompt-engineering-patterns

Pass

Audited by Gen Agent Trust Hub on May 7, 2026

Risk Level: SAFE
Full Analysis
  • [PROMPT_INJECTION]: The skill focuses on structured prompt design and includes specific patterns for enforcing safety and behavioral constraints in LLM system prompts. No malicious override or bypass attempts were detected.
  • [REMOTE_CODE_EXECUTION]: No patterns for downloading or executing remote code were found. Python scripts and reference materials utilize standard libraries for string manipulation and data processing without employing unsafe functions like eval() or exec().
  • [DATA_EXFILTRATION]: No evidence of unauthorized data access, sensitive file path exposure (e.g., SSH or AWS credentials), or network exfiltration to untrusted domains was identified.
  • [EXTERNAL_DOWNLOADS]: No external script or package downloads from untrusted sources are performed. References to standard data science libraries are consistent with the skill's stated educational purpose.
  • [CREDENTIALS_UNSAFE]: No hardcoded credentials, API keys, or secrets are present in the scripts or templates. Standard placeholders are used correctly in code examples.
Audit Metadata
Risk Level
SAFE
Analyzed
May 7, 2026, 03:31 PM