cuda-samples

cuda-samples is a skill for Claude Code, Codex from wenyi-li/awesome-agent-kernel-skills. It costs 153 tokens per session (2,688 once invoked), scanned A, original, no licence file.

An index of official NVIDIA CUDA Samples, which are example programs for writing code that runs on NVIDIA graphics processors.

In plain words
What is it for?
Use it to look up GPU techniques such as reductions, scans, matrix multiplication, transposes, histograms, Tensor Cores, CUDA Graphs, and NVIDIA math libraries.
Why use it?
It helps developers find working examples and relevant code patterns without searching through the full sample collection.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to look up GPU techniques such as reductions, scans, matrix multiplication, transposes, histograms, Tensor Cores, CUDA Graphs, and NVIDIA math libraries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wenyi-li/awesome-agent-kernel-skills --skill cuda-samples
Clone the repo
git clone --depth 1 https://github.com/wenyi-li/awesome-agent-kernel-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cuda-samples

README.md
[![agentmods](https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples/github.svg)](https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples)
Your own site
<a href="https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cuda-samples

Your own site · 80×15
<a href="https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/cuda-samples.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,688 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00153 $0.02688
Opus 5 $0.00077 $0.01344
Sonnet 5 $0.00031 $0.00538
Haiku 4.5 $0.00015 $0.00269

Measured 9d ago against content hash 203b3ac5fe6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cuda-samples scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cuda-samples/SKILL.md · 134 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 134 lines · 153 tokens per session scan A 203b3ac5fe6b

Subscribe to this mod's changes

cuda-samples is a skill published in the GitHub repository wenyi-li/awesome-agent-kernel-skills (9 stars, last pushed 3mo ago), with no licence file. It adds 153 tokens to every session and 2,688 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

ruview-quickstart

Onboarding and first-run for RuView (WiFi-DensePose) — Docker demo with simulated data, repo build, and the fastest path to a live sensing dashboard. Use when someone is new to RuView or wants the shortest path to "it works on my machine".

ruvnet/RuView · 62 tokens

onboard

Zero-to-sensing path picker for RuView (WiFi-DensePose) — pick docker-demo, repo-build, or live-esp32 and run the next concrete step.

ruvnet/RuView · 39 tokens

doca-programming-guide

Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI), walking the cfg-create → init → start →…

NVIDIA/skills · 246 tokens

triton-ascend-optimization

A general performance guide for Triton kernels on Ascend processors. It covers block sizes, grid layouts, core selection, memory alignment, automatic tuning, precision, and reduction patterns.

mindspore-ai/akg · 146 tokens

devin-akin-perspective

A vendor-neutral perspective for making enterprise Wi-Fi decisions, with emphasis on radio physics, training, technical standards, and checking vendor claims against real deployments.

swaylq/master-skill · 220 tokens

design-logic-circuit

Design combinational logic circuits from a functional specification through gate-level implementation. Covers AND, OR, NOT, XOR, NAND, NOR gates; NAND/NOR universality conversions; and standard building blocks including multiplexers, decoders, half/full adders, and ripple-carry adders. Use when translating a Boolean…

pjt222/agent-almanac · 87 tokens