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.
npx skills add wenyi-li/awesome-agent-kernel-skills --skill tilelang-cuda-apigit clone --depth 1 https://github.com/wenyi-li/awesome-agent-kernel-skillsWrote 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.
[](https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/tilelang-cuda-api)<a href="https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/tilelang-cuda-api"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/tilelang-cuda-api/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.
<a href="https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/tilelang-cuda-api"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/tilelang-cuda-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.03002 |
| Opus 5 | $0.00022 | $0.01501 |
| Sonnet 5 | $0.00009 | $0.00600 |
| Haiku 4.5 | $0.00004 | $0.00300 |
Grade A, and why
tilelang-cuda-api 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 6d 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.
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.
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.
- 6d ago First seen · 348 lines · 43 tokens per session scan A c9d57bf0babe
tilelang-cuda-api 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 43 tokens to every session and 3,002 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
tilelang-cuda-basics
A beginner-to-advanced guide to TileLang CUDA, covering its Python-like syntax, GPU kernels, thread blocks, and memory types. A kernel is a function compiled to run many operations in parallel on a GPU.
pypto-basics
A set of rules for implementing PyPTO kernels from PyTorch code. It starts by writing down the original operation's exact mathematical meaning before choosing an implementation or optimization.
triton-cuda-api
A reference for Triton CUDA's core programming functions and their parameters. It explains how to identify program blocks, load and store memory, reduce values, perform dot products, and use atomic updates.
triton-cuda-basics
A beginner guide to writing Triton kernels for CUDA GPUs. It explains how GPU programs split data into blocks and use memory and threads to run work in parallel.
cuda-c-api
A reference manual for CUDA C, the C and C++ interface used to write programs for NVIDIA GPUs. It covers function markers, memory declarations, and kernel launch syntax.
cuda-c-basics
A beginner’s guide to CUDA C, the C/C++ programming model for running work in parallel on NVIDIA GPUs. It covers kernels, threads, blocks, grids, and the GPU’s memory types.