results-analysis
Pass
Audited by Gen Agent Trust Hub on May 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a guide and workflow for academic research analysis, focusing on causal inference designs such as DID, IV, RDD, and Synthetic Control.
- [SAFE]: The skill instructions utilize established and reputable Python data science libraries (e.g., pandas, matplotlib, statsmodels, econml) for their intended purposes of data manipulation, statistical analysis, and plotting.
- [SAFE]: The data ingestion patterns described, involving the processing of .csv and .dta files, are standard for the skill's primary function of empirical results analysis.
- [SAFE]: No evidence of malicious prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found across the skill's instructions, examples, or reference materials.
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