data-engineering-data-driven-feature

Pass

Audited by Gen Agent Trust Hub on Sep 4, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill processes user-supplied input through the $ARGUMENTS placeholder across multiple development phases.
  • Ingestion points: The $ARGUMENTS variable in SKILL.md is directly embedded in prompts for several specialized subagents.
  • Boundary markers: There are no delimiters or specific instructions to isolate user input from the rest of the prompt, which could allow instructions within the input to be executed by the subagents.
  • Capability inventory: The involved subagents have the ability to generate code (backend/frontend), configure infrastructure (deployment-engineer), and design data pipelines.
  • Sanitization: No input validation or sanitization is performed on the user-provided arguments.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 4, 2026, 03:04 PM
Security Audit — agent-trust-hub — data-engineering-data-driven-feature