Foreign-CF-Study
Pass
Audited by Gen Agent Trust Hub on Jun 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill follows established academic research protocols for corporate finance studies, using industry-standard statistical methodologies including Difference-in-Differences (DID), Instrumental Variables (IV/2SLS), and Double Machine Learning (DML).
- [EXTERNAL_DOWNLOADS]: The skill references data retrieval from reputable and official sources such as Wharton Research Data Services (WRDS), FRED, NBER, and various US government agencies (BLS, BEA, Census). References to community-maintained Model Context Protocol (MCP) servers for IMF and World Bank data are documented as specialized research tools.
- [COMMAND_EXECUTION]: The skill generates and executes Python code for data cleaning and econometrics. It utilizes standard scientific computing packages and follows a structured project organization with clear separation between raw data, code, and results.
- [DATA_EXFILTRATION]: The skill includes specific guidance on security, instructing users to manage sensitive credentials for database access (WRDS, FRED, etc.) via local environment variables to prevent exposure or storage within the codebase.
- [PROMPT_INJECTION]: Systematic analysis of the skill instructions and LaTeX templates found no attempts to override agent behavior, bypass safety filters, or extract system prompts.
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