triton-ascend-case-reduction-amax-small

triton-ascend-case-reduction-amax-small is a skill for Claude Code, Codex from mindspore-ai/akg. It costs 75 tokens per session (291 once invoked), scanned A, original, Apache-2.0.

A Triton optimization guide for finding the maximum value in a very small array on Ascend hardware. It compares processing the whole input with one core against using several cores.

In plain words
What is it for?
Use it for very small `amax` reductions, such as a 16 by 16 input, when tuning Triton kernels for Ascend hardware.
Why use it?
For tiny inputs, coordinating several cores can take longer than doing the work on one core. This guide helps avoid that unnecessary parallelization cost.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for very small amax reductions, such as a 16 by 16 input, when tuning Triton kernels for Ascend hardware.

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Install with agentmods
npx agentmods add skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small
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 mindspore-ai/akg --skill triton-ascend-case-reduction-amax-small
Clone the repo
git clone --depth 1 https://github.com/mindspore-ai/akg

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 triton-ascend-case-reduction-amax-small

README.md
[![agentmods](https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small/github.svg)](https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small)
Your own site
<a href="https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small/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 triton-ascend-case-reduction-amax-small

Your own site · 80×15
<a href="https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-amax-small.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 291 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00075 $0.00291
Opus 5.5 $0.00030 $0.00116
Sonnet 5.5 $0.00015 $0.00058
Haiku 4.5 $0.00007 $0.00029

Measured 2mo ago against content hash e7f857edb0ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

triton-ascend-case-reduction-amax-small 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 2mo 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.

akg_agents/python/akg_agents/op/resources/skills/triton-ascend/cases/triton-ascend-case-reduction-amax-small/SKILL.md · 30 lines

What it actually says

极小规模 Amax 归约优化

任务特征

  • 数据尺寸:(16, 16),非常小
  • 策略:单核处理优于多核并行

优化:单核/少核处理

# 1. 单核处理 -> 性能:2.16 us 最优
triton.Config({'BLOCK_SIZE_M': 16, 'BLOCK_SIZE_N': 16})

# 2. 多核并行 -> 性能:3.51 us
triton.Config({'BLOCK_SIZE_M': 1, 'BLOCK_SIZE_N': 16})

总结

对于小规模计算任务,单核(少核)处理性能更优,并行化带来的开销超过了收益。

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. 2mo ago First seen · 30 lines · 75 tokens per session scan A e7f857edb0ff

Subscribe to this mod's changes

triton-ascend-case-reduction-amax-small is a skill published in the GitHub repository mindspore-ai/akg (266 stars, last pushed 2d ago), licensed Apache-2.0. It adds 75 tokens to every session and 291 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 2026-09-03.

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