psychology-research-guide
Pass
Audited by Gen Agent Trust Hub on Apr 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides pedagogical content focused on experimental design and statistical rigor in psychology research. All instructions and code snippets align with established scientific best practices.
- [EXTERNAL_DOWNLOADS]: The skill references and demonstrates the use of standard, well-known scientific Python libraries including
numpy,pandas,statsmodels,scipy,pingouin, andsemopy. These are widely used in the academic and data science communities for research purposes. - [COMMAND_EXECUTION]: The Python code provided is restricted to statistical analysis and psychometric validation. It processes local data from
experiment_data.csvusing standard dataframe operations and does not invoke shell commands, perform network operations, or utilize unsafe execution patterns.
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