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 triton-ascend-attentiongit 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/triton-ascend-attention)<a href="https://agentmods.dev/skills/wenyi-li/awesome-agent-kernel-skills/triton-ascend-attention"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/triton-ascend-attention/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/triton-ascend-attention"><img src="https://agentmods.dev/badge/skills/wenyi-li/awesome-agent-kernel-skills/triton-ascend-attention.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 | $0.00122 | $0.00873 |
| Opus 5 | $0.00061 | $0.00436 |
| Sonnet 5 | $0.00024 | $0.00175 |
| Haiku 4.5 | $0.00012 | $0.00087 |
Grade A, and why
triton-ascend-attention 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.
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.
- 9d ago First seen · 88 lines · 122 tokens per session scan A 90b28a41c892
triton-ascend-attention 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 122 tokens to every session and 873 once invoked, about $0.0006 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
sketch-design
A small language and method for sketching how a computing operation should work before writing its implementation. It describes tensors, memory actions, loops, and optimization hints in a compact form.
triton-ascend-reduce
An optimization guide for reduction operations, which combine many values into fewer values, such as sum, mean, maximum, softmax, or normalization.
triton-ascend-matmul
An optimization guide for matrix multiplication, the operation that combines rows and columns of numbers to produce a new matrix. It explains tiling, matrix-compute cores, memory limits, alignment, and core selection on Ascend devices.
hint-mode
A guide for describing tunable parameters in a standard hint format. It turns value lists, numeric ranges, fixed values, and powers of two into configuration entries for later automatic tuning.
triton-ascend-attention
An optimization guide for Transformer attention, which turns query, key, and value tensors into context-aware outputs. It explains blocked computation, causal masking, and online softmax for Flash Attention.
triton-ascend-elementwise-reduce-fused
A guide for writing Triton kernels that combine per-element calculations with a reduction, such as adding or averaging values into a smaller result. Triton is a language for writing GPU kernels.