llm-structured-output
Pass
Audited by Gen Agent Trust Hub on Jun 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns, obfuscation, or dangerous command executions were detected. The skill is purely educational and adheres to industry-standard practices for LLM integration.
- [EXTERNAL_DOWNLOADS]: The skill references well-known and trusted libraries including
openai,anthropic,pydantic,zod,instructor, andmarvin. These are standard dependencies for the described functionality and originate from well-known services. - [DATA_EXFILTRATION]: Code examples use standard SDK initialization patterns without hardcoded credentials or sensitive data exposure. No unauthorized network operations or suspicious domains were found.
- [PROMPT_INJECTION]: The skill instructs users on how to craft system prompts that restrict model output to specific data formats, which inherently provides a layer of protection against output manipulation.
Audit Metadata