python-performance
Pass
Audited by Gen Agent Trust Hub on Sep 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and patterns for Python performance optimization. The code examples demonstrate legitimate use of standard libraries (
timeit,cProfile,multiprocessing,asyncio,sqlite3,tracemalloc,gc,weakref) and reputable third-party tools. - [EXTERNAL_DOWNLOADS]: The skill references standard Python packages for profiling and optimization (
numpy,aiohttp,requests,line-profiler,memory-profiler,py-spy,pytest-benchmark). These are well-known, widely-used packages in the Python ecosystem. - [COMMAND_EXECUTION]: The skill documents common command-line usage for profiling tools (e.g.,
kernprof,python -m memory_profiler,py-spy). These commands are intended for local performance analysis and do not involve suspicious execution patterns or remote command injection risks. - [DATA_EXFILTRATION]: While the code examples include network operations (
requests,aiohttp) and database interactions (sqlite3), these are demonstrative examples for benchmarking I/O performance (usinghttpbin.org) and batch operations. There is no evidence of sensitive data collection or exfiltration to unauthorized domains. - [NO_CODE]: The skill primarily consists of markdown documentation and Python code snippets for user reference and local execution. It does not ship with standalone scripts, executables, or automated installation procedures.
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