evaluating-llms-harness
Pass
Audited by Gen Agent Trust Hub on Jul 16, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCREDENTIALS_UNSAFE
Full Analysis
- [COMMAND_EXECUTION]: The skill provides numerous examples of CLI commands for installing dependencies and running the evaluation harness.
- Evidence: Use of
lm_eval,pip install, andaccelerate launchcommands inSKILL.mdand referenced guides. - Evidence: Python snippets in
SKILL.mdandreferences/custom-tasks.mdusingos.systemandsubprocessto automate benchmarking workflows. - [EXTERNAL_DOWNLOADS]: The skill instructs on installing several well-known and trusted Python packages from standard registries.
- Evidence: Installation of
lm-eval,transformers,vllm, andhuman-evalusingpip. - [REMOTE_CODE_EXECUTION]: The skill documents the
--allow_code_executionflag, which is a specific feature of thelm_evaltool required for functional correctness benchmarks like HumanEval. - Evidence: Instructions in
SKILL.mdandreferences/benchmark-guide.mdexplaining how to enable code execution for evaluation. - [CREDENTIALS_UNSAFE]: The guides explain how to provide authentication for API-based models using standard environment variables.
- Evidence: References to
OPENAI_API_KEYandANTHROPIC_API_KEYinreferences/api-evaluation.mdas part of the configuration setup.
Audit Metadata