python-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Mar 13, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill provides educational patterns for code optimization using standard Python libraries such as
cProfile,timeit,tracemalloc, andsqlite3. - [EXTERNAL_DOWNLOADS]: The implementation playbook suggests the use of well-known third-party Python packages for profiling, including
line-profiler,memory-profiler,py-spy, andpytest-benchmark. It also includes examples using standard libraries likerequestsandaiohttp. - [EXTERNAL_DOWNLOADS]: Includes networking examples targeting
httpbin.org, a well-known service for testing HTTP requests. - [COMMAND_EXECUTION]: Provides instructions for using command-line tools such as
py-spyandcProfileto analyze performance, which are standard practices for developers.
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