data-engineering-data-driven-feature

Pass

Audited by Gen Agent Trust Hub on Oct 7, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill interpolates user-supplied data from the $ARGUMENTS variable directly into instructions for multiple specialized sub-agents throughout the entire development lifecycle.
  • Ingestion points: User input provided to the $ARGUMENTS variable in SKILL.md is passed into 16 separate task prompts across six phases.
  • Boundary markers: Absent. User input is not wrapped in delimiters (such as triple-backticks or specific XML tags) nor are the sub-agents instructed to ignore potential commands embedded within the feature description.
  • Capability inventory: The workflow coordinates sub-agents with roles in backend and frontend development, data engineering, and infrastructure deployment, which typically possess capabilities for code execution, database access, and environment configuration.
  • Sanitization: The skill does not implement any validation, filtering, or escaping of the $ARGUMENTS content before it is processed by the sub-agents.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 7, 2026, 03:56 AM