python-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Jun 23, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [SAFE]: The skill serves as a guide for Python performance optimization, utilizing standard library features (cProfile, timeit, multiprocessing, asyncio) and best practices like caching and using efficient data structures. No malicious intent or instructions were found.- [EXTERNAL_DOWNLOADS]: The documentation references several well-known and reputable Python packages for profiling and benchmarking, including 'line-profiler', 'memory-profiler', 'py-spy', 'numpy', and 'aiohttp'. These are industry-standard tools and their mention is appropriate for the skill's stated purpose.- [COMMAND_EXECUTION]: The skill provides examples of command-line usage for profiling tools such as cProfile, kernprof, and py-spy. These are standard development workflows for performance analysis.- [DATA_EXFILTRATION]: Code examples for benchmarking asynchronous I/O include HTTP requests to 'httpbin.org'. This is a well-known public service used for testing HTTP clients and does not involve the exfiltration of sensitive information.
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