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 mindspore-ai/akg --skill triton-ascend-case-reduction-amin-mediumgit clone --depth 1 https://github.com/mindspore-ai/akgWrote 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/mindspore-ai/akg/triton-ascend-case-reduction-amin-medium)<a href="https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-reduction-amin-medium"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-amin-medium/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/mindspore-ai/akg/triton-ascend-case-reduction-amin-medium"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-amin-medium.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.00541 |
| Opus 5.5 | $0.00036 | $0.00216 |
| Sonnet 5.5 | $0.00018 | $0.00108 |
| Haiku 4.5 | $0.00009 | $0.00054 |
Grade A, and why
triton-ascend-case-reduction-amin-medium 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.
What it actually says
大规模 2D Amin 归约优化
任务特征
- 数据尺寸：(2048, 262144)，非reduce轴中等，reduce轴很大
优化：reduce轴大切分
# 错误：简单：循环内多次归约
row_min = float('inf')
for n_start in range(0, N, BLOCK_SIZE_N):
curr_min = tl.min(data_block, 1)
row_min = tl.minimum(curr_min, row_min)
# 正确：优化：维护矩阵结构
curr_min = tl.full((BLOCK_SIZE_M, BLOCK_SIZE_N), float('inf'), dtype=tl.float32)
for n_start in range(0, N, BLOCK_SIZE_N):
curr_min = tl.minimum(data_block, curr_min)
row_min = tl.min(curr_min, 1)
Autotune 配置
# 1. reduce轴切分较大, UB用满 -> 2864.90 us
triton.Config({'BLOCK_SIZE_M': 8, 'BLOCK_SIZE_N': 2048})
# 2-4. reduce轴切分逐渐增大，M切分相应减小 -> 性能逐渐提升
triton.Config({'BLOCK_SIZE_M': 4, 'BLOCK_SIZE_N': 4096}) # 2840.48 us
triton.Config({'BLOCK_SIZE_M': 2, 'BLOCK_SIZE_N': 8192}) # 2801.20 us
triton.Config({'BLOCK_SIZE_M': 1, 'BLOCK_SIZE_N': 16384}) # 2779.78 us 最优
总结
在优先占满UB前提下，为reduce轴分配较大切分尺寸，减少循环次数，但需权衡单次迭代计算负载。
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.
- 2mo ago First seen · 47 lines · 91 tokens per session scan A 7a30ccf9c3a6
triton-ascend-case-reduction-amin-medium is a skill published in the GitHub repository mindspore-ai/akg (266 stars, last pushed 2d ago), licensed Apache-2.0. It adds 91 tokens to every session and 541 once invoked, about $0.0004 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.
triton-ascend-case-reduction-amin-medium compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| triton-ascend-case-reduction-amin-mediummindspore-ai/akg | Skill | 266 | 2d ago | Apache-2.0 | A | 91 | Claude Code, Codex |
| triton-ascend-case-reduction-weighted-swigluwenyi-li/awesome-agent-kernel-skills | Skill | 10 | 5mo ago | none | A | 97 | Claude Code, Codex |
| triton-ascend-case-elemwise-zeroswenyi-li/awesome-agent-kernel-skills | Skill | 10 | 5mo ago | none | A | 67 | Claude Code, Codex |
| spark-environment-setupwshobson/agents | Skill | 42k | 2d ago | MIT | A | 76 | Claude Code |
| spark-memory-thermal-opswshobson/agents | Skill | 42k | 2d ago | MIT | A | 59 | Claude Code |
| spark-training-gotchaswshobson/agents | Skill | 42k | 2d ago | MIT | A | 63 | Claude Code |
| inference-serving-llama-cppdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 80 | Claude Code, Codex |