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tiny-cutlass: Skill for Claude Code

.agents/skills/RTXKernelWiki/SKILL.md

RTXKernelWiki is a skill for Claude Code from yy6768/tiny-cutlass. It costs 93 tokens per session (1,966 once invoked), scanned A, original, no licence file.

A research helper for NVIDIA GPU code that finds documentation, source code, change discussions, bug reports, and technical articles about CUDA, CUTLASS, CuTe, and Triton kernels. It covers selected Ampere, Ada, and Blackwell RTX GPUs, not every NVIDIA GPU.

In plain words
What is it for?
Use it to research kernel implementations and memory or performance issues on the supported GPU architectures.
Why use it?
It helps developers investigate why GPU operations such as matrix multiplication, attention, convolution, or quantization behave a certain way without searching many sources manually.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is yy6768/tiny-cutlass's own configuration. It tells Claude Code how to work on tiny-cutlass itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything tiny-cutlass configures →

not rated 5repo changed 1mo ago A scan 93 tokens no licence
View source ↗ yy6768/tiny-cutlass
Reuse

Borrowing it

Nothing to install: this file belongs to yy6768/tiny-cutlass. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/yy6768/tiny-cutlass/master/.agents/skills/RTXKernelWiki/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/yy6768/tiny-cutlass

Made for: Claude Code.

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 RTXKernelWiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/yy6768/tiny-cutlass/rtxkernelwiki/github.svg)](https://agentmods.dev/skills/yy6768/tiny-cutlass/rtxkernelwiki)
Your own site
<a href="https://agentmods.dev/skills/yy6768/tiny-cutlass/rtxkernelwiki"><img src="https://agentmods.dev/badge/skills/yy6768/tiny-cutlass/rtxkernelwiki/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 RTXKernelWiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/yy6768/tiny-cutlass/rtxkernelwiki"><img src="https://agentmods.dev/badge/skills/yy6768/tiny-cutlass/rtxkernelwiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,966 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 $0.00093 $0.01966
Opus 5.5 $0.00037 $0.00786
Sonnet 5.5 $0.00019 $0.00393
Haiku 4.5 $0.00009 $0.00197

Measured 1mo ago against content hash 73b3052dfe2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

RTXKernelWiki 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 1mo 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.

.agents/skills/RTXKernelWiki/SKILL.md · 118 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

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago Changed · +41 lines · -4 tokens per session 73b3052dfe2d
  2. 1mo ago First seen · 77 lines · 97 tokens per session scan A f59440ad84d0

Subscribe to this mod's changes

RTXKernelWiki is a skill published in the GitHub repository yy6768/tiny-cutlass (5 stars, last pushed 1mo ago), with no licence file. It adds 93 tokens to every session and 1,966 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-28.

ResearchScientific
Related

RTXKernelWiki compared with skills from other repositories

RTXKernelWiki next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
RTXKernelWikiyy6768/tiny-cutlassSkill51mo agononeA93Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code