longitudinal-growth-curves
Pass
Audited by Gen Agent Trust Hub on Jul 5, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a structured methodology for longitudinal growth curve modeling, focusing on statistical analysis of behavioral metadata.
- [EXTERNAL_DOWNLOADS]: The skill references several standard data science and statistical libraries commonly used in the Python ecosystem.
- Evidence: Mentions of
pandas,numpy,statsmodels,scipy,matplotlib, andrupturesfor data manipulation, regression fitting, and change point detection. - [COMMAND_EXECUTION]: Code snippets provided are limited to standard Python data processing and statistical functions. There is no evidence of arbitrary shell command execution or privilege escalation.
- [PROMPT_INJECTION]: The instructions focus entirely on the analytical workflow and do not contain patterns aimed at bypassing AI safety guardrails or overriding system prompts.
- [DATA_EXFILTRATION]: No network operations to unknown or suspicious domains were found. The skill processes local activity data and outputs findings to a local documentation directory (
docs/analysis/).
Audit Metadata