{
  "id": "python-performance-memory",
  "name": "python-performance-memory",
  "version": "0.1.0",
  "type": "skill",
  "provider": "python",
  "harnesses": [
    "codex",
    "claude-code",
    "cursor",
    "gemini",
    "kiro",
    "other"
  ],
  "summary": "Static review of Python performance and memory claims: CPU profiling vs benchmarking rigor, memory growth and allocation patterns, GC pressure, algorithmic complexity, and serialization/import/startup cost — refusing intuition as evidence. Reads source, profiles, and benchmark artifacts only; never runs the profiler or benchmark itself.",
  "source_type": "original",
  "official_docs": [
    "https://docs.python.org/3/library/profile.html",
    "https://docs.python.org/3/library/tracemalloc.html",
    "https://docs.python.org/3/library/gc.html",
    "https://docs.python.org/3/library/timeit.html"
  ],
  "security_notes": "Static review only — reads source, profiler output (cProfile), benchmark artifacts (timeit/pytest-benchmark), and tracemalloc snapshots to assess performance and memory claims; never runs the profiler, the benchmark, or the application itself. A claim about actual latency, throughput, or memory growth with no supplied profile/benchmark/tracemalloc evidence is flagged as unsupported rather than accepted. Never requests credentials or customer data.",
  "last_verified": "2026-07-26",
  "path": "skills/python/python-performance-memory",
  "author": "github: VincentChuWaiChow"
}