ai-native-development
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides conceptual guidance on software development eras, autonomy sliders, and quality gates. It focuses on engineering rigor and defensive practices when using LLMs for code generation.
- [SAFE]: External references target well-known and reputable sources including academic papers (arXiv), security organizations (Snyk, OWASP), and established developer repositories (GitHub/karpathy). These are documented neutrally as foundational knowledge for the skill.
- [SAFE]: No executable code, remote script downloads, or dynamic execution patterns were found. The skill strictly limits itself to instructional content and evaluation metadata.
- [SAFE]: Metadata and instructions are consistent with the stated purpose of defining AI-native development practices. There is no evidence of prompt injection, data exfiltration, or obfuscation techniques.
Audit Metadata