Security audit
Security checks for vulnerabilities and agentic risk
This is a straightforward data-analysis template skill with explicit local examples and no hidden execution, persistence, credential access, or network behavior.
Reasonable to install for data-analysis assistance. Before running copied snippets, review file paths and output filenames, especially the PNG save examples, because they may overwrite files with the same names in the working directory.
The function name 'sample_size计算器' mixes English with Chinese, introducing a language-specific element in the skill content. The file does not state that the skill is intended for a Chinese-speaking context or provide a user language choice, which may violate language/locale policy expectations.
This markdown file describes 'Automated Reports' and later includes examples that save outputs to disk, such as generated images. The skill description does not warn users that using these templates will create or overwrite local files, which is a user-impacting behavior covered by the missing-warning rule for markdown files.
The Python visualization template uses multiple plt.savefig() calls to write trend.png, scatter.png, and heatmap.png. Because this is a markdown skill file, the documentation should disclose that these examples create local files and may affect the user's workspace.
No suspicious patterns detected.
