alphaear-reporter

Pass

Audited by Gen Agent Trust Hub on Mar 29, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: Deterministic detectors flagged the use of eval() in training.py and evaluation.py. Manual inspection confirms these are calls to model.eval(), a standard PyTorch method for setting neural network layers into evaluation mode, and do not constitute an execution risk.- [REMOTE_CODE_EXECUTION]: Downloads machine learning models from the NeoQuasar organization on Hugging Face. This is a standard and expected operation for the skill's predictive functionality.- [EXTERNAL_DOWNLOADS]: Retrieves financial market data from Akshare and uses the Jina AI platform for web content extraction and search. These operations are essential for the skill's function and target well-known, reputable services.- [SAFE]: No evidence of malicious behavior, such as credential harvesting, exfiltration, or persistence mechanisms, was found. The skill follows best practices for secret management and data processing.- [PROMPT_INJECTION]: The skill utilizes natural language instructions for report planning and generation. No attempts to override system constraints or bypass agent safety protocols were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 29, 2026, 12:29 AM