cpu-cache-and-numa SKILL.md skillA

cpu-cache-and-numa from robsonkades/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add robsonkades/agent-skills/cpu-cache-and-numa@git:20260927.9ecadfd

Pins git:20260927.9ecadfd in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
robsonkades/agent-skills
Path
skills/cpu-cache-and-numa/SKILL.md
Versions recorded
5
Latest version
git:20260927.9ecadfd, committed Sep 27, 2026
First version recorded
Sep 3, 2026
Size
9,514 bytes
Repository stars
3
License
Apache-2.0

Hardware-aware Java: cache-line coherence and locality, false sharing and how it differs from lock contention, object layout measured with JOL, LongAdder versus AtomicLong, data locality in arrays and collections, and NUMA topology. Use when throughput gets **worse** as threads are added, when scaling efficiency collapses, when fields are being added to a class shared between threads, when volatile counters sit next to each other, when @Contended or padding is proposed, when -XX:+UseNUMA is…

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

# CPU Cache and NUMA

## Purpose

Explain hardware-locality failures that blocking-oriented evidence can miss. False sharing
can degrade throughput without monitor contention or a dedicated JFR event, but cache misses,
coherence traffic, CPU saturation and scaling curves still leave evidence. Treat it as a
hypothesis to falsify, not the default explanation for poor scaling.

## Workflow

Start from the requested outcome and reuse existing captures, layout listings and deployment
configuration when they match the workload and build. Preserve the project's Java baseline;
use Java 25 when no target is specified. For a conceptual or flag question, answer the relevant
contract directly. Keep an adequate layout or placement when there is no demonstrated problem.
For a scaling investigation, select the following checks to resolve the remaining hypotheses:

1. **Measure the scaling curve**: throughput, p99, CPU, allocation and synchronization from
   one thread through the production concurrency range. Efficiency is descriptive; there is
   no universal 0.5 entry threshold.
2. **Check the signature.** Throughput that worsens as writers are added is consistent with
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add robsonkades/agent-skills/cpu-cache-and-numa@sha256:b05b5177875e747f

The line at the top of this page pins the label git:20260927.9ecadfd, 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_s7vrsg47ox54trb3.svg)](https://markdownregistry.com/a/art_s7vrsg47ox54trb3)

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

Versions

The registry has recorded 5 versions of this file, between Sep 3, 2026 and Sep 27, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260927.9ecadfd latest2026-09-27 9ecadfd 9,514 BA view · diff
git:20260923.832673e2026-09-23 832673e 9,036 BA view · diff
git:20260911.37b054b2026-09-11 37b054b 8,919 BA view · diff
git:20260906.e6ad4bd2026-09-06 e6ad4bd 7,547 BA view · diff
git:20260903.f1995302026-09-03 f199530 6,547 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 (9514 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

robsonkades/agent-skills · 3 stars · license Apache-2.0 · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s7vrsg47ox54trb3
GET https://markdownregistry.com/api/v1/resolve?ref=robsonkades/agent-skills/cpu-cache-and-numa
GET https://markdownregistry.com/api/v1/blob/b05b5177875e747f744cb405c3442ab22158db08b554a442b92012aa1f438d98

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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