jetson-memory-audit SKILL.md skillA

jetson-memory-audit from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/jetson-memory-audit@v0.0.1

Pins v0.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/jetson-memory-audit/SKILL.md
Versions recorded
1
Latest version
v0.0.1, committed Jun 22, 2026
Size
9,114 bytes
Repository stars
3,871
License
Apache-2.0

Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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.

**Root cause:** The Thor RM (resource manager) holds freed sysmem pages in its own pool after a CUDA context exits. On Unified Memory Architecture (UMA) devices like Jetson, `cudaMemGetInfo` reads RM pool state and reports far less free memory than is actually available to a new process.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/jetson-memory-audit@sha256:c751cb62c4a6b4ac

The line at the top of this page pins the label v0.0.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cawa2kaydaabebfd.svg)](https://markdownregistry.com/a/art_cawa2kaydaabebfd)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 22, 2026.

versioncommittedcommitsizeaudit
v0.0.1 latest2026-06-22 87053a0 9,114 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9114 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cawa2kaydaabebfd
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-memory-audit
GET https://markdownregistry.com/api/v1/blob/c751cb62c4a6b4ac4286528dff868d3266184ee7bd91ec6de818d456bb538cdd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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