alterlab-missing-data
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security concerns were identified during the analysis of the skill. The instructions and reference documents focus exclusively on academic statistical methodologies, including Multiple Imputation by Chained Equations (MICE) and Full-Information Maximum Likelihood (FIML).
- [SAFE]: The code snippets provided utilize standard, well-known libraries such as
statsmodelsin Python andmicein R. These tools are used as intended for statistical modeling without any suspicious parameters or hidden commands. - [SAFE]: The execution environment described (using
uv run pythonandRscript) is standard for data science workflows and does not involve risky remote code execution or privilege escalation. - [SAFE]: All referenced internal skills and metadata follow the consistent naming convention of the author (AlterLab), representing a coherent suite of academic tools without signs of impersonation or obfuscation.
Audit Metadata