scientific-llm-benchmarks

Pass

Audited by Gen Agent Trust Hub on Jul 8, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The scripts/fetch_examples.py script retrieves dataset samples from the Hugging Face datasets-server API. This is a well-known service in the machine learning ecosystem, and the script is used solely to populate local examples for the documented benchmarks.
  • [COMMAND_EXECUTION]: The skill includes local Python utility scripts (generate_readme.py and fetch_examples.py). These scripts are used for data management, such as regenerating markdown tables from a YAML source of truth and updating example files. The execution is local and intended for skill maintenance.
  • [PROMPT_INJECTION]: No prompt injection or behavior override patterns were detected in the instructions or metadata.
  • [DATA_EXFILTRATION]: No sensitive file access or credential exfiltration patterns were identified. The use of environment variables for API tokens (HF_TOKEN) follows standard security best practices for secret management.
  • [SAFE]: The skill's behavior is consistent with its stated purpose as a scientific reference tool. All external resources and scripts are functional components of a standard data-documentation workflow.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 8, 2026, 03:33 PM
Security Audit — agent-trust-hub — scientific-llm-benchmarks