hardware SKILL.md skillA

hardware from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amd-agi/hyperloom/hardware@git:20261105.0d95dc2

Pins git:20261105.0d95dc2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amd-agi/hyperloom
Path
src/hyperloom_arbor/.claude/skills/hardware/SKILL.md
Versions recorded
1
Latest version
git:20261105.0d95dc2, committed Nov 5, 2026
Size
7,242 bytes
Repository stars
262
License
a license file GitHub does not identify

AMD Instinct hardware facts for kernel authoring, rooflines and communication — MI350X/MI355X (gfx950, CDNA4) and MI300X/MI325X (gfx942, CDNA3) — with the spec peaks, how to measure what a node achieves, the memory hierarchy, LDS banks, MFMA and block-scaled matrix instructions, the gfx950 ISA additions, XGMI/collective bandwidth, and where each fact comes from. Use when writing or tuning a kernel, pricing a direction against its floor, writing a kernel plan, reading a roofline, or deciding…

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

# Hardware: AMD Instinct for kernel authors

The facts a campaign needs when it prices a direction, writes a kernel plan or reads a roofline.
`reference/` holds the detail. It is KernelForge's hardware knowledge base
(`local_knowledge/hardware/`, AMD, MIT licence: `reference/LICENSE-KernelForge`), imported unchanged
on 2026-10-20.

KernelForge's separate gfx950 summary (`knowledge_base/shared/gpu_arch_gfx950.md`) was not imported:
it says "304 CUs", "32 banks" and "similar to MI300X's 5.3 TB/s", all wrong for gfx950.

## The quick facts

| | MI350X / MI355X (gfx950, CDNA4) | MI300X (gfx942, CDNA3) | MI325X (gfx942) |
| --- | --- | --- | --- |
| CUs | **256** (8 XCDs × 32) | 304 (8 × 38) | 304 |
| Wavefront, SIMDs/CU | wave64, 4 | wave64, 4 | wave64, 4 |
| VGPR / AGPR | 512 × 4 B per SIMD / ≤256 | same | same |
| LDS | **160 KiB/CU, 64 banks, 256 B/clk** | 64 KiB, 32 banks, 128 B/clk | as MI300X |
| Direct global→LDS | up to 128 b/lane (`global_load_lds_dwordx4`) | 32 b/lane | as MI300X |
| L2 | 4 MB per XCD (not device-wide), 16-way | 4 MiB per XCD | as MI300X |
| Infinity Cache | 256 MiB, device-shared | 256 MiB | 256 MiB |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amd-agi/hyperloom/hardware@sha256:342dc14a19b7a594

The line at the top of this page pins the label git:20261105.0d95dc2, 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_6iwrfbm5tctisqgl.svg)](https://markdownregistry.com/a/art_6iwrfbm5tctisqgl)

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

Versions

The registry has recorded 1 version of this file, committed on Nov 5, 2026.

versioncommittedcommitsizeaudit
git:20261105.0d95dc2 latest2026-11-05 0d95dc2 7,242 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 (7242 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

amd-agi/hyperloom · 262 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6iwrfbm5tctisqgl
GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/hardware
GET https://markdownregistry.com/api/v1/blob/342dc14a19b7a594130535e079bd4701fa0db6799731f56618ec2928142be516

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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Every file in amd-agi/hyperloom

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