finance-skills

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The code snippets across all sub-guides use standard scientific computing libraries (NumPy, SciPy, Pandas, Statsmodels) for financial calculations like portfolio optimization, derivatives pricing, and risk modeling. No malicious code or hidden commands were detected.
  • [EXTERNAL_DOWNLOADS]: The skill provides installation instructions for external libraries and research tools including akshare and FinSight. These tools are established within the quantitative finance and research communities and originate from reputable open-source and academic repositories.
  • [CREDENTIALS_SAFE]: The instructions for fetching macroeconomic data demonstrate the correct use of environment variables (os.environ["FRED_API_KEY"]) for managing API keys, following security best practices for credential management.
  • [INDIRECT_PROMPT_INJECTION]: The finsight-research-guide and options-analytics-agent-guide describe systems that process data from external sources such as APIs and news. While this creates a potential ingestion surface, the logic provided is focused on statistical analysis and structured reporting rather than unsafe handling of data-driven instructions.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 09:31 AM