data-modeling

Pass

Audited by Gen Agent Trust Hub on Jul 20, 2026

Risk Level: SAFEPROMPT_INJECTION
Full Analysis
  • [PROMPT_INJECTION]: The skill package includes multiple 'Ultimate Deep Dive' reference files (architecture-patterns.md, code-organization.md, deployment-pipelines.md, error-handling.md, performance-optimization.md, security-best-practices.md, state-management.md, and testing-strategies.md) that each consist of 150 repetitive sections. These sections are filled with copy-pasted technical jargon that is often unrelated to the file's topic (e.g., kernel optimization text inside a deployment pipeline file). This 'prompt stuffing' technique is used to artificially bloat the AI's context window, which can lead to increased costs and degraded performance.
  • [SAFE]: The primary data modeling instructions in SKILL.md and the core reference files for Data Vault, Graph, Relational, and Dimensional modeling are high-quality, accurate, and contain no malicious code or exfiltration patterns.
  • [SAFE]: Python implementations for schema diffing and data contracts found in the reference files use standard libraries and follow legitimate software engineering patterns.
  • [SAFE]: No hardcoded credentials, sensitive file access, or suspicious network communication patterns were detected across the 17 files.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 20, 2026, 02:06 PM
Security Audit — agent-trust-hub — data-modeling