skills/afelipeg/anthropic-skills-for-enterprise-marketing-os/response-uplift-modeling/Gen Agent Trust Hub
response-uplift-modeling
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill follows standard practices for data science tasks, implementing well-documented algorithms for propensity scoring and uplift modeling (e.g., Logistic Regression with interaction terms, multinomial classification).
- [EXTERNAL_DOWNLOADS]: The skill utilizes standard, well-known Python libraries for data processing and machine learning, including
pandas,numpy,scikit-learn,matplotlib, andjoblib. - [COMMAND_EXECUTION]: The instructions direct the agent to use local Python scripts to process user-provided datasets. These operations are restricted to the local environment and are necessary for the skill's primary function of statistical analysis.
Audit Metadata