jetson-memory-audit skillA
jetson-memory-audit is agent-read markdown (skill) from nvidia/skills: Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
How to install
mdr add nvidia/skills/jetson-memory-audit@v0.0.1mdr add nvidia/skills/jetson-memory-audit@sha256:c751cb62c4a6b4acPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_cawa2kaydaabebfd)
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Versions
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 (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
nvidia/skills · 3,326 stars · license Apache-2.0 · pushed 2026-09-17 · 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
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.