llm-project-development
Pass
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality architectural methodology and code templates for building robust LLM applications following established industry patterns.
- [INDIRECT_PROMPT_INJECTION]: The provided templates demonstrate security best practices for handling untrusted external data by implementing structured output validation using Zod and Pydantic schemas.
- [SAFE]: Promotes secure multi-tenant data handling by demonstrating mandatory tenant isolation filters in all database interaction examples.
- [EXTERNAL_DOWNLOADS]: All external dependencies and SDKs mentioned originate from trusted organizations or well-known, established open-source registries.
Audit Metadata