kernels SKILL.md skillB

kernels 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/kernels@git:20261105.0d95dc2

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

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
amd-agi/hyperloom
Path
src/hyperloom_arbor/.claude/skills/kernels/SKILL.md
Versions recorded
1
Latest version
git:20261105.0d95dc2, committed Nov 5, 2026
Size
30,981 bytes
Repository stars
262
License
a license file GitHub does not identify

Before writing, porting or tuning a GPU kernel for LLM serving on AMD Instinct (MI350X/MI355X gfx950, MI300X gfx942) — AITER's tuned tables and tuner first; then which language for which kernel (Triton, FlyDSL, CK, HIP/assembly) and why; what the container image actually ships (probe-image.sh); and proving correctness with a negative control and speed graph-captured at the served shapes (kbench.py), with KernelForge's FlyDSL, Triton, CK, HIP and AITER references. Use when a kernel plan must…

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

# Kernels: whether to write one, in which language, and how to prove it

A campaign that rewrites a kernel has to answer three questions before its first line of code: does
the image already have a faster kernel for this op, which language fits the kernel, and does the
image ship that language. Then it has to prove the kernel correct and fast at the shapes the server
runs. The dossier's kernel plan (`.claude/skills/dossier/kernel-plan.md`) says what a rewrite must
show at each stage; this skill says how.

| File | What it is |
| --- | --- |
| `probe-image.sh` | prints the container's ROCm, hipcc, torch, Triton, FlyDSL, AITER (with its asm, FlyDSL, Triton and CK kernels and tuned tables) and CK versions, and whether each imports (§3) |
| `kbench.py` | a reference op against a candidate at given shapes: correctness with negative controls, then graph-captured timing, as JSON (§5) |
| `reference/` | a curated copy of KernelForge (AMD-AGI, MIT licence: `reference/LICENSE-KernelForge`), taken from KernelForge's commit `cd9c585`; what was copied and skipped is in `reference/README.md`, its known-wrong numbers in `reference/STALE.md` |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amd-agi/hyperloom/kernels@sha256:df37074135229ea5

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_zriyzjri6z6pubwj.svg)](https://markdownregistry.com/a/art_zriyzjri6z6pubwj)

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Versions

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

versioncommittedcommitsizeaudit
git:20261105.0d95dc2 latest2026-11-05 0d95dc2 30,981 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No recursive delete of root, home or parent (matched: rm -rf ~/)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (30981 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 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

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

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_zriyzjri6z6pubwj
GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/kernels
GET https://markdownregistry.com/api/v1/blob/df37074135229ea57c7e84cff724ff1d4304c1c9c88ca81500b81e9328f2d97a

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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