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
akshareandFinSight. 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-guideandoptions-analytics-agent-guidedescribe 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.
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