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-sum-largegit 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-sum-large)<a href="https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-reduction-sum-large"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-sum-large/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-sum-large"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-reduction-sum-large.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 | $0.00092 | $0.00554 |
| Opus 5 | $0.00046 | $0.00277 |
| Sonnet 5 | $0.00018 | $0.00111 |
| Haiku 4.5 | $0.00009 | $0.00055 |
Grade A, and why
triton-ascend-case-reduction-sum-large 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.
What it actually says
大规模 Sum 归约优化
任务特征
- 数据尺寸：(65536, 2048)，非reduce轴非常大，reduce轴中等
优化：reduce轴大切分 + 计算重组
# 简单
total_sum = 0.0
for n_offset in range(0, N, BLOCK_SIZE):
row_sum += tl.sum(block_vals)
# 正确：优化
acc = tl.zeros([BLOCK_SIZE_M, BLOCK_SIZE_N], dtype=tl.float32)
for n_start in range(0, N, BLOCK_SIZE_N):
acc += block_vals
row_sum = tl.sum(acc, axis=1)
Autotune 配置
# 1. reduce轴切分较小，UB占满 -> 700.42 us
triton.Config({'BLOCK_SIZE_M': 64, 'BLOCK_SIZE_N': 256})
# 2. reduce轴切分增至512 -> 695.08 us
triton.Config({'BLOCK_SIZE_M': 32, 'BLOCK_SIZE_N': 512})
# 3. reduce轴切分增至1024 -> 685.65 us 最优
triton.Config({'BLOCK_SIZE_M': 16, 'BLOCK_SIZE_N': 1024})
# 4. reduce轴切分增至2048 -> 686.89 us
triton.Config({'BLOCK_SIZE_M': 8, 'BLOCK_SIZE_N': 2048})
# 5. reduce轴切分较大，UB未占满 -> 743.83 us
triton.Config({'BLOCK_SIZE_M': 4, 'BLOCK_SIZE_N': 2048})
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。配置3和4性能最优，共同特征：reduce轴切分值较大且占满UB。
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 · 53 lines · 92 tokens per session scan A a60d19090d99
triton-ascend-case-reduction-sum-large is a skill published in the GitHub repository mindspore-ai/akg (259 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 554 once invoked, about $0.0005 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.
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