Individual skill
jetson-memory-audit
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
skills/jetson-memory-audit/SKILL.md
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- agent-skills Repository topic
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BENCHMARK.mddoc · 3,323 bytesSKILL.mdcore · 9,114 bytesSKILL.mdcore · 9,114 bytesSKILL.mdcore · 9,114 bytesSKILL.mdcore · 9,114 bytesSKILL.mdcore · 9,114 bytesevals/evals.jsonasset · 5,845 bytesreferences/DESIGN.mddoc · 2,628 bytesscripts/audit.shruns · 2,784 bytesscripts/drop_caches.shruns · 3,516 bytesskill-card.mddoc · 3,547 bytesskill.oms.sigasset · 5,281 bytes
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# Jetson Memory Audit
Read-only memory-focused snapshot for a Jetson, plus the `drop_caches` verify-loop helper that confirms freed memory actually shows up as free instead of cached.
## Purpose
Measure current Jetson memory consumers, capture before/after baselines, and verify whether user-approved changes actually reclaimed DRAM. Use live device data rather than estimates from container size, model size, or generic process memory.
## CRITICAL: Memory appears stuck after stopping vLLM / sglang (JetPack below 7.2 / L4T below r39.0)
**This is the most common memory confusion on Jetson releases before JetPack 7.2 or before L4T r39.0.**
After you stop a vLLM, sglang, or Ollama server (or any CUDA workload), the memory shown as free by `free -h` or `tegrastats` may not recover — even though the process is gone. `nvidia-smi` may also show misleadingly low free GPU memory.