skills/alinaqi/maggy/llm-patterns/Gen Agent Trust Hub

llm-patterns

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill provides patterns for interpolating untrusted data directly into prompt templates.
  • Ingestion points: The classifyTicketPrompt function in SKILL.md accepts a ticket parameter representing external, untrusted data.
  • Boundary markers: The prompt template in SKILL.md directly embeds the input via ${ticket} without using delimiters (such as XML tags) or instructions to the model to ignore embedded commands.
  • Capability inventory: The skill demonstrates usage of the Anthropic SDK for network requests and zod for response validation; while schema validation is a best practice, the semantic logic can be subverted by malicious input.
  • Sanitization: No input sanitization or escaping techniques are documented in the provided code snippets to prevent injection attacks within the interpolated string.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 01:46 PM
Security Audit — agent-trust-hub — llm-patterns