The Agent Skills Directory

[SAFE]: The skill serves as a comprehensive developer reference for pandas. All instructions, constraints, and code patterns provided are standard, benign practices for data manipulation and analysis.
[SAFE]: The skill promotes security and data integrity by mandating data quality checks. It provides specific patterns for validating data shapes, dtypes, and null counts, and recommends the use of libraries like pandera for schema validation when processing external data.
[SAFE]: The skill demonstrates legitimate performance optimization techniques, such as memory profiling, downcasting numeric types, and using categorical data. It correctly cautions against dangerous patterns like row-by-row iteration or chained indexing.
[SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized remote code execution was found. All external library references (e.g., numba, pyarrow, pandera) are well-established tools in the data science ecosystem.

pandas-pro