The Agent Skills Directory

[SAFE]: The skill consists of instructional Markdown files and reference documentation for conducting frequentist and Bayesian statistical analyses. The content is educational and aligns with academic research standards.
[EXTERNAL_DOWNLOADS]: The documentation references several well-known and trusted Python libraries, including scipy, statsmodels, pingouin, PyMC, ArviZ, and Bambi. These are standard tools in the data science ecosystem.
[DATA_EXFILTRATION]: No network exfiltration patterns, hardcoded credentials, or access to sensitive local file paths (e.g., .ssh, .aws) were found.
[PROMPT_INJECTION]: The instructions do not contain attempts to bypass safety filters, override system prompts, or manipulate agent behavior beyond the intended scope of providing statistical guidance.
[COMMAND_EXECUTION]: The skill provides Python code templates for data analysis. While these are intended for execution in a local environment, they use standard library functions for statistical modeling and do not exhibit dangerous command injection or arbitrary code execution patterns.
[SAFE]: A script titled 'assumption_checks.py' is referenced in the documentation but was not provided in the analyzed file set. Based on its description in SKILL.md, it performs routine diagnostic tasks like Shapiro-Wilk and Levene's tests.

statistical-analysis