python-performance
Pass
Audited by Gen Agent Trust Hub on Oct 18, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The content across all files is strictly educational and provides best practices for improving Python application performance.
- [EXTERNAL_DOWNLOADS]: The skill references several widely used and legitimate third-party Python packages for development, such as
numpy,aiohttp,requests,line-profiler,memory-profiler,py-spy, andpytest-benchmark. - [COMMAND_EXECUTION]: The skill provides documentation for using standard command-line tools for profiling, including
cProfile,kernprof, andpy-spy. These tools are used appropriately within the context of performance analysis. - [DATA_EXFILTRATION]: Networking examples involve making requests to
httpbin.org, which is an established and well-known service for testing HTTP clients. These examples are used to demonstrate the performance differences between synchronous and asynchronous operations.
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