kernel-benchmarker

kernel-benchmarker is a skill for Claude Code, Codex from ForceInjection/cuda-code-skill. It costs 0 tokens per session (929 once invoked), scanned A, original, from a forked repository, no licence file.

A tool for compiling, checking, and measuring a CUDA kernel against a Python reference program. A benchmark compares how quickly programs complete, while validation checks whether they produce the expected results.

In plain words
What is it for?
Use it to compile .cu kernels with nvcc, validate them against ref.py, detect the GPU architecture, infer arguments from the solve function, and benchmark the kernel and reference.
Why use it?
It combines build, correctness, and speed checks in one workflow. It can detect incorrect output before reporting performance results.

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 compile .cu kernels with nvcc, validate them against ref.py, detect the GPU architecture, infer arguments from the solve function, and benchmark the kernel and reference.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/forceinjection/cuda-code-skill/kernel-benchmarker
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 ForceInjection/cuda-code-skill --skill kernel-benchmarker
Clone the repo
git clone --depth 1 https://github.com/ForceInjection/cuda-code-skill

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 kernel-benchmarker

README.md
[![agentmods](https://agentmods.dev/badge/skills/forceinjection/cuda-code-skill/kernel-benchmarker/github.svg)](https://agentmods.dev/skills/forceinjection/cuda-code-skill/kernel-benchmarker)
Your own site
<a href="https://agentmods.dev/skills/forceinjection/cuda-code-skill/kernel-benchmarker"><img src="https://agentmods.dev/badge/skills/forceinjection/cuda-code-skill/kernel-benchmarker/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 kernel-benchmarker

Your own site · 80×15
<a href="https://agentmods.dev/skills/forceinjection/cuda-code-skill/kernel-benchmarker"><img src="https://agentmods.dev/badge/skills/forceinjection/cuda-code-skill/kernel-benchmarker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 929 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 fork From a forked repository.
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 $0.00000 $0.00929
Opus 5.5 $0.00000 $0.00372
Sonnet 5.5 $0.00000 $0.00186
Haiku 4.5 $0.00000 $0.00093

Measured 1mo ago against content hash 7c73f13041c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kernel-benchmarker 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 2 executable files (scripts/benchmark.py, scripts/ncu_profile.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.

skills/kernel-benchmarker/SKILL.md · 88 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

2 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 First seen · 88 lines · 0 tokens per session scan A 7c73f13041c0

Subscribe to this mod's changes

kernel-benchmarker is a skill published in the GitHub repository ForceInjection/cuda-code-skill (26 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 929 tokens. A static security scan graded it A with 0 findings. It comes from a forked repository.

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