The Agent Skills Directory

[INDIRECT_PROMPT_INJECTION]: The skill provides patterns for processing and visualizing external data sources using Pandas DataFrames and Seaborn functions. If the input data is sourced from an untrusted third party, it could contain malicious instructions designed to influence the agent's behavior during the analysis process.
Ingestion points: The data parameter in code examples for sns.relplot, sns.displot, sns.catplot, sns.regplot, sns.heatmap, and other plotting functions.
Boundary markers: The instructions do not define explicit delimiters or warnings to ignore instructions embedded within the processed datasets.
Capability inventory: The skill leverages the capability to perform statistical aggregation, data transformation, and graphic generation using Seaborn, Matplotlib, and Pandas.
Sanitization: No data sanitization or validation logic is included in the provided code templates.
[EXTERNAL_DOWNLOADS]: The skill mentions the installation of the seaborn package via pip and uses sns.load_dataset() which fetches example datasets from the official Seaborn GitHub repository. These are standard operations for the library's intended use case.

seaborn