evaluating-llms

Warn

Audited by Socket on Mar 18, 2026

1 alert found:

Anomaly
AnomalyLOW
examples/python/unit_evaluation.py

The code is a non-malicious test harness that exercises OpenAI API capabilities for several NLP tasks. Primary concerns are privacy/data leakage due to external API calls, reliance on live API responses in tests, and potential API parameter compatibility issues. Recommend replacing live API calls with mocks/stubs for unit tests, adding input redaction/minimization, validating API parameter usage against the current library, and documenting data handling policies. Overall security risk remains moderate due to data transmission to an external service in a testing context.

Confidence: 77%Severity: 60%
Audit Metadata
Analyzed At
Mar 18, 2026, 08:16 PM
Package URL
pkg:socket/skills-sh/ancoleman%2Fai-design-components%2Fevaluating-llms%2F@42dbf1192a707a12157c6500ca3011eba2c7c54a