skills/brycewang-stanford/auto-empirical-research-skills/Full-empirical-analysis-skill/Gen Agent Trust Hub
Full-empirical-analysis-skill
Pass
Audited by Gen Agent Trust Hub on Jul 23, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill relies on a wide variety of well-known and trusted Python libraries for data science and statistics, such as pandas, statsmodels, pyfixest, and econml. These dependencies are standard for the domain and are fetched from official package registries.
- [COMMAND_EXECUTION]: The playbook instructs the agent to use standard system commands for environment setup, such as 'pip install' for dependency management and 'cp'/'ln' for skill installation. These actions are transparent and aligned with the skill's purpose.
- [SAFE]: The skill incorporates strong defensive engineering practices, including data contracts and sample-construction logs that verify dataset integrity and prevent silent row-dropping. It also includes rigorous statistical diagnostic steps (Step 4) to ensure model assumptions are validated before execution.
Audit Metadata