python-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill provides instructions to install several standard Python libraries for performance analysis and optimization, such as
line-profiler,memory-profiler,py-spy,pytest-benchmark,numpy, andaiohttp. These are well-known packages commonly used in the Python ecosystem for development. - [COMMAND_EXECUTION]: The documentation includes various command-line examples for using profiling tools, such as
kernprof,py-spy, andpython -m cProfile. These are standard development tools and the examples provided are for legitimate performance tuning purposes. - [DATA_EXFILTRATION]: The benchmarking examples in
references/advanced-patterns.mdutilize therequestsandaiohttplibraries to perform HTTP GET requests tohttpbin.org, a well-known service for testing HTTP clients. These network operations are limited to measuring I/O latency and do not involve sensitive data access or exfiltration.
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