The Agent Skills Directory

[SAFE]: No malicious patterns or security risks were identified. The skill's functionality is strictly aligned with its stated purpose of assisting with academic research and statistical methodology.
[EXTERNAL_DOWNLOADS]: The documentation references established Python libraries including scipy, statsmodels, pingouin, pymc, and arviz. These are standard, reputable dependencies within the scientific computing ecosystem and are used as intended for analysis and visualization.
[INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process user-provided datasets (DataFrames). While this represents a surface for untrusted data ingestion, the skill's capabilities are limited to statistical calculations and plotting using standard libraries, with no dangerous operations like arbitrary code execution, file system writes, or network exfiltration. Boundary markers are inherently managed by the data structure (Pandas/NumPy) and the specific statistical functions called.
[COMMAND_EXECUTION]: Code examples and scripts demonstrate the use of library-specific functions for statistical tests and diagnostics. No execution of arbitrary shell commands or unsanitized user input was found.

statistical-analysis