did-analysis
Pass
Audited by Gen Agent Trust Hub on Jun 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides code templates for standard statistical analysis using common libraries in Python (statsmodels, linearmodels), R (plm, fixest, did), and Stata (reghdfe, csdid).
- [EXTERNAL_DOWNLOADS]: The documentation references specialized R packages hosted on GitHub (e.g., jonathandroth/pretrends, asheshrambachan/HonestDiD). These are public repositories belonging to the academic researchers who developed the respective methods mentioned in the skill.
- [NO_CODE]: This skill consists entirely of instructional markdown content and example code blocks for the user to utilize; it does not contain executable scripts or perform background operations.
Audit Metadata