evaluating-llms

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Audited by Socket on Sep 17, 2026

1 alert found:

Security
SecurityMEDIUM
examples/python/benchmark_testing.py

The code is intended as an LLM benchmarking utility and shows no clear malware or covert backdoor behavior. However, run_code_benchmark() executes untrusted model-generated Python with exec(), creating a high-impact arbitrary code execution risk. Benchmark data is also sent to the OpenAI API by design. The supplied module additionally contains syntax errors in create_sample_code_benchmark(), preventing execution as written. Generated code should be validated and run in a strongly isolated sandbox, or execution should be removed.

Confidence: 99%Severity: 86%
Audit Metadata
Analyzed At
Sep 17, 2026, 09:35 AM
Package URL
pkg:socket/skills-sh/ancoleman%2Fai-design-components%2Fevaluating-llms%2F@42ef7d0ff0cc91dc72839324c0567a9c18a4c9d4c80a1baf58945a7ee08b1618