python-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and code examples provide legitimate diagnostic and optimization patterns without any evidence of malicious intent or hidden behaviors.
- [EXTERNAL_DOWNLOADS]: Mentions the installation of reputable and well-known Python packages (numpy, py-spy, line-profiler, memory-profiler, aiohttp, requests, pytest-benchmark) from official registries.
- [DATA_EXFILTRATION]: Includes network usage examples targeting httpbin.org, a widely used service for testing HTTP requests, which is used here solely for benchmarking asynchronous I/O performance.
- [COMMAND_EXECUTION]: Documents the use of standard Python CLI profiling utilities like cProfile and py-spy to analyze application performance.
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