prompt-engineering

Pass

Audited by Gen Agent Trust Hub on Jun 22, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a documentation and template resource for prompt engineering. It includes examples for few-shot learning, chain-of-thought, and structured output using standard Python libraries.
  • [DATA_EXPOSURE]: No hardcoded credentials, API keys, or sensitive file paths were found. The code snippets use generic placeholders for integration.
  • [EXTERNAL_DOWNLOADS]: The skill references standard, well-known libraries such as pydantic and openai. No suspicious external URLs or remote script downloads are present.
  • [PROMPT_INJECTION]: While the skill contains instructions on how to structure prompts, it does not contain patterns intended to bypass AI safety guidelines or override system instructions.
  • [INDIRECT_PROMPT_INJECTION]: The skill identifies potential attack surfaces by providing templates that ingest untrusted data (e.g., {code}, {error_log}). However, it also demonstrates best practices such as using XML tags for boundary isolation and provides checklists that warn against prompt injection vulnerabilities.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 22, 2026, 07:46 AM
Security Audit — agent-trust-hub — prompt-engineering