tiny-cutlass: Skill for Claude Code

.agents/skills/ncu-report-rtx/SKILL.md

ncu-report-skill is a skill for Claude Code, Codex from yy6768/tiny-cutlass. It costs 86 tokens per session (1,167 once invoked), scanned A, original, no licence file.

A CUDA kernel profiling and diagnosis helper for selected NVIDIA Ampere, Ada, and Blackwell RTX GPUs. Profiling measures where a program spends time and what limits its speed, using Nsight Compute reports.

In plain words
What is it for?
Use it to collect or analyze Nsight Compute reports, investigate source-level stalls, and plan CUDA kernel optimizations on supported systems.
Why use it?
It helps turn GPU performance problems and profiling reports into evidence-based explanations and optimization plans.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is yy6768/tiny-cutlass's own configuration. It tells Claude Code and Codex 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 →

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/ncu-report-rtx/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/yy6768/tiny-cutlass

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 ncu-report-skill

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yy6768/tiny-cutlass/ncu-report-rtx"><img src="https://agentmods.dev/badge/skills/yy6768/tiny-cutlass/ncu-report-rtx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,167 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 $0.00086 $0.01167
Opus 5.5 $0.00034 $0.00467
Sonnet 5.5 $0.00017 $0.00233
Haiku 4.5 $0.00009 $0.00117

Measured 1mo ago against content hash 7d6f9d9c0223, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ncu-report-skill 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.

The scan reads SKILL.md. This mod also ships 5 executable files (helpers/analyze_reports.py, helpers/extract_stall_hotspots.py, helpers/list_flashinfer_workloads.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/ncu-report-rtx/SKILL.md · 86 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. 1mo ago First seen · 86 lines · 86 tokens per session scan A 7d6f9d9c0223

Subscribe to this mod's changes

ncu-report-skill is a skill published in the GitHub repository yy6768/tiny-cutlass (5 stars, last pushed 1mo ago), with no licence file. It adds 86 tokens to every session and 1,167 once invoked, about $0.0003 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.

Related

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ncu-report-skill next to 6 skills from other repositories
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linear-solversbeita6969/ScienceClawSkill1.0kyesterdayMITA55Claude Code