evaluating-code-models

Pass

Audited by Gen Agent Trust Hub on Jul 16, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONREMOTE_CODE_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: Downloads the official evaluation harness from the BigCode Project repository on GitHub and pulls Docker images from the GitHub Container Registry for multi-language evaluation.
  • [COMMAND_EXECUTION]: Executes standard CLI operations for environment setup and model benchmarking, including git clone, pip install, accelerate launch, and docker run commands.
  • [REMOTE_CODE_EXECUTION]: Leverages the --allow_code_execution feature of the harness to evaluate model-generated solutions against unit tests. This behavior is documented as a necessary step for functional benchmarking, and the skill explicitly suggests using Docker containers to isolate the execution environment from the host system.
  • [CREDENTIALS_UNSAFE]: Mentions the use of Hugging Face authentication tokens via --use_auth_token for accessing gated models and datasets. These references are standard practices for model evaluation and do not involve credential exfiltration.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 16, 2026, 06:39 PM