prompt-engineering-patterns

Pass

Audited by Gen Agent Trust Hub on Apr 12, 2026

Risk Level: SAFEPROMPT_INJECTION
Full Analysis
  • [PROMPT_INJECTION]: The skill provides code templates that interpolate external data directly into LLM prompts, creating a surface for indirect prompt injection.
  • Ingestion points: Code samples in SKILL.md use variables like {query}, {text}, and {context} to insert external content into prompts.
  • Boundary markers: The provided patterns lack robust delimiters or specific instructions to the model to ignore potential commands within the interpolated text.
  • Capability inventory: The demonstrated capabilities include interacting with external LLM APIs (Anthropic, VoyageAI) and vector databases.
  • Sanitization: The code snippets do not implement input validation or sanitization for the data being placed into the prompt templates.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 12, 2026, 09:36 AM
Security Audit — agent-trust-hub — prompt-engineering-patterns