The Agent Skills Directory

[EXTERNAL_DOWNLOADS]: The skill references several well-known libraries and their official repositories, including textstat and lexical_diversity. These are established tools in the natural language processing community for computing text metrics.
[COMMAND_EXECUTION]: The provided Python code snippets use standard libraries like numpy, pandas, and re for data processing and analysis. There are no calls to unsafe system commands or shell execution of untrusted input.
[DATA_EXPOSURE]: The skill instructs the agent to write analysis reports to a local directory (docs/analysis/). This is a standard and expected behavior for a documentation and analysis skill, posing no risk of sensitive data exposure.
[PROMPT_INJECTION]: The skill uses natural instructional language and does not contain patterns attempting to override agent safety guidelines or bypass restrictions.
[INDIRECT_PROMPT_INJECTION]: As an analysis skill, it processes arbitrary text (a 'corpus'). While it lacks explicit boundary markers or sanitization for the input text, the risk is negligible as the data is used solely for calculating statistical metrics (syllable counts, word lengths) and does not influence executable logic or sensitive operations.

readability-lexical-diversity