The Agent Skills Directory

[SAFE]: The skill's primary functionality is implemented through well-documented Python scripts that follow data science best practices.
Logic is deterministic and utilizes standard libraries such as pandas, numpy, and scipy for data manipulation and statistical analysis.
[COMMAND_EXECUTION]: Subprocess execution is restricted to the test environment and does not pose a threat to the skill's operational security.
Evidence: tests/test_content_validator.py uses subprocess.run to execute and verify the behavior of the content_validator.py script as part of its automated test suite.
[DATA_EXFILTRATION]: No network-based exfiltration vectors were identified.
Analysis of all script files confirms the absence of network libraries (e.g., requests, urllib) or command-line utilities (e.g., curl, wget) used for external data transfer.
[PROMPT_INJECTION]: The skill's instructional content and metadata are free from patterns designed to override agent behavior or bypass safety constraints.
The natural language triggers and reasoning guidelines are focused entirely on defining and enforcing data quality standards.

magic-data-validation