turbodrf
Warn
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSMETADATA_POISONINGINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs users to install a library from a GitHub repository hosted by an individual user account ('AlexanderCollins/TurboDRF') rather than an official organization or the stated author. This creates a risk of installing unverified or malicious forks.
- [METADATA_POISONING]: There is a conflict between the registered skill author ('codeatcode') and the author name declared in the skill metadata ('mte90'). This inconsistency, combined with the external repository pointing to a third individual ('AlexanderCollins'), suggests deceptive metadata or potential impersonation.
- [INDIRECT_PROMPT_INJECTION]: The skill facilitates the automatic generation of CRUD API endpoints that process untrusted external data.
- Ingestion points: Data enters the system through generated REST endpoints (e.g.,
POST /api/books/) defined via theTurboDRFMixinandTurboDRFRouter. - Boundary markers: The framework provides a
TURBODRF_SENSITIVE_FIELDSdeny-list and "startup safety gates" to validate configuration, but these do not sanitize the content of processed data itself. - Capability inventory: The skill enables database read/write operations, complex query filtering, and custom model actions (
turbodrf_action). - Sanitization: The skill mentions an optional
full_clean: Truesetting to run model validation before saving data, which provides some protection but is not enabled by default.
Audit Metadata