# Python Memory Safe Scripts

> - Memory-safe Python script patterns for long-running processes under systemd MemoryMax constraints. Covers allocator purge (mimalloc/glibc malloctrim), HTTP response lifecycle, DataFrame cleanup, thread-local connection reuse, and periodic GC cadence. Battle-tested through 5 OOM optimization cycles on production GPU workstations. Use this skill proactively whenever writing or reviewing Python scripts that: run under systemd with MemoryMax, process data in loops (downloads, ETL, backfill), use ThreadPoolExecutor, or make repeated HTTP requests. Also use when diagnosing OOM kills, RSS creep, or fd exhaustion in Python services. TRIGGERS - memory optimization, OOM prevention, RSS reduction, malloctrim, systemd MemoryMax, memory leak, allocator purge, memory-safe script, RSS creep, fd exhaustion, SIGKILL status 9, MemoryHigh, glibc arena, mimalloc purge, requests memory leak, ThreadPoolExecutor cleanup.

## Facts
- Page: https://tashan.sh/capability/skill-terrylica-python-memory-safe-scripts
- tashan id: skill:terrylica/python-memory-safe-scripts
- Source: https://github.com/terrylica/cc-skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 99.0
- Freshness: 98.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r python-memory-safe-scripts ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.