loom-data-validation

Pass

Audited by Gen Agent Trust Hub on Apr 14, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as an educational and structural guide for implementing data validation and sanitization logic.
  • [SAFE]: The provided code snippets demonstrate industry-standard security practices, such as context-aware output encoding and whitelist-based input sanitization.
  • [SAFE]: Implementation of path traversal prevention using path.resolve and base path verification is a documented security best practice.
  • [SAFE]: All referenced third-party libraries (Zod, Pydantic, Ajv, DOMPurify, Great Expectations) are widely-used, reputable packages within the security and development communities.
  • [SAFE]: SQL sanitization examples are accompanied by explicit warnings to prioritize parameterized queries, demonstrating a security-first approach.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 14, 2026, 12:42 AM