custom-format-validators
Pass
Audited by Gen Agent Trust Hub on Sep 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as documentation for the 'z-schema' library, which is a legitimate tool associated with the developer context. The code examples demonstrate standard practices for synchronous and asynchronous data validation.
- [INDIRECT_PROMPT_INJECTION]: The skill defines a surface for processing untrusted data via JSON Schema validation.
- Ingestion points: Data is ingested through the
validator.validate(data, schema)method call. - Boundary markers: Validation is performed using structured functions that return boolean results, providing a natural boundary for processing.
- Capability inventory: Examples include database lookups and API fetches used specifically for validation purposes.
- Sanitization: The skill's primary purpose is to provide a framework for sanitizing and validating input strings and objects against defined rules.
Audit Metadata