dspy-simba-optimizer
Pass
Audited by Gen Agent Trust Hub on Oct 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and Python examples for the DSPy library's SIMBA optimizer. All code samples involve standard library usage (dspy), numeric metrics, and local evaluation logic.
- [SAFE]: External references are limited to official documentation (dspy.ai) and well-known source code repositories (github.com/stanfordnlp/dspy), which are categorized as trusted sources.
- [SAFE]: The code in
example.pyuses aDummyLMfor testing purposes and contains no executable or network-based threats. - [SAFE]: No obfuscation, prompt injection, or data exfiltration patterns were detected in the skill instructions or associated scripts.
Audit Metadata