skills/brycewang-stanford/auto-empirical-research-skills/Full-empirical-analysis-skill-Stata/Gen Agent Trust Hub
Full-empirical-analysis-skill-Stata
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill manages statistical dependencies by installing community-standard Stata packages (such as
reghdfe,ivreg2, andcsdid) directly from the official Statistical Software Components (SSC) archive hosted at Boston College. This is a standard and expected practice for Stata-based workflows. - [COMMAND_EXECUTION]: The skill implements a sophisticated 8-step research pipeline that executes a wide array of Stata, Python, and R commands. This includes native Stata statistical procedures, Python blocks (
python:) for machine learning models, and shell callouts (shell Rscript) to execute local R scripts for policy tree learning. All execution patterns are consistent with the stated purpose of performing complex data analysis. - [DATA_EXFILTRATION]: Analyzed the skill for potential unauthorized data movement. All file system operations—including reading source data files and exporting results as
.tex,.rtf, or.pdffiles—are restricted to the local project environment. No suspicious network transmissions or exfiltration patterns to non-whitelisted domains were identified. - [SAFE]: The skill adheres to best practices for reproducible research and professional statistical workflows. It does not contain any prompt injection attempts, obfuscated content, or persistence mechanisms. The identified capabilities are necessary for the skill's primary function as an empirical analysis tool.
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