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()orexec(). - [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