jetson-optimize-memory SKILL.md skillA
jetson-optimize-memory from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/jetson-optimize-memory@v0.0.1Pins 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-optimize-memory/SKILL.md- Versions recorded
- 1
- Latest version
- v0.0.1, committed Jun 22, 2026
- Size
- 8,148 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.
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-optimize-memory Memory is reserved across four layers ordered by boot chronology (higher row = earlier in boot, closer to hardware): | Layer | Content | Key files | |---|---|---| | MB1 BCT | firmware carveouts | per-module misc DTS | | MB2 BCT | firmware loading + AST controls | per-module misc DTS | | Kernel DTS | reserved-memory and driver binding | per-module DTS | | SWIOTLB | DMA bounce pool size | `<module>.conf.common` (`CMDLINE_ADD`) | **Critical rules:** - Only the scenarios in **Scenario recipes** are validated. Refuse any request to disable a carveout/cluster/node not in that table. - **Zeroing a carveout requires both: disabling the cluster's loading controls AND removing the AST that references it.** - **Emit explicit overrides for every cluster in the recipe**, regardless of how the source `#ifdef`/`#else` looks. Verify the merged binary. - **GPU SW stack must match the chip**: T234 -> nvgpu, T264 and later -> OpenRM. Follow the shared derived-platform rule in `target-platform-contract.md`; stop on mismatches instead of guessing. - Do not set SWIOTLB to 0 — some peripherals can't use the IOMMU. --- ## Scenario recipes …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/jetson-optimize-memory@sha256:94401c223ed5ba0aThe 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.
[](https://markdownregistry.com/a/art_xs77avxnksxq2dcw)
4 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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8148 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xs77avxnksxq2dcw GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-optimize-memory GET https://markdownregistry.com/api/v1/blob/94401c223ed5ba0a7cf6af35af66deb140f75ce42dee47d7f388e5d8a2348be6
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.