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-elemwise-zerosgit 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-elemwise-zeros)<a href="https://agentmods.dev/skills/mindspore-ai/akg/triton-ascend-case-elemwise-zeros"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-elemwise-zeros/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-elemwise-zeros"><img src="https://agentmods.dev/badge/skills/mindspore-ai/akg/triton-ascend-case-elemwise-zeros.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 | $0.00067 | $0.00431 |
| Opus 5 | $0.00034 | $0.00216 |
| Sonnet 5 | $0.00013 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
triton-ascend-case-elemwise-zeros 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 11d 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
Zeros 创建张量优化案例
任务特征
- 操作类型：Elemwise类型，包含torch的arange、full、zeros、zeros_like等创建张量的操作
- 数据尺寸：(2, 256, 16)，数据shape较小
- 数据类型：float32
- 任务特点：可以按照轴的顺序（可flatten为一根轴），外层并行，内层向量化
优化：小shape少核处理
# 内核代码
block_start = pid * BLOCK_SIZE
offsets = block_start + tl.arange(0, BLOCK_SIZE)
mask = offsets < n_elements
zeros = tl.zeros((BLOCK_SIZE,), dtype=tl.float32)
tl.store(output_ptr + offsets, zeros, mask=mask)
优化内容
- 通过设置BLOCK_SIZE的大小，来调整并行，提高性能
- Shape较小时，核数尽量减小，可以避免多核启动和调度开销
总结
- 在Ascend平台上，shape较小的时候，核数尽量减小，可以避免多核启动和调度开销，实现性能优化
- 对于单纯的Elementwise操作，将多根轴的元素展开为一根轴，然后在这根轴上进行切分
- 将block分配给每个线程块，若UB存不下，可考虑多次切分
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.
- 11d ago First seen · 39 lines · 67 tokens per session scan A fddc8cc71cda
triton-ascend-case-elemwise-zeros is a skill published in the GitHub repository mindspore-ai/akg (259 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 431 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
cardputer-buddy
Iterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add an app", "push to…
doca-argp
Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart → docaargpdestroy in order; picking a parameter type from the full public enum (DOCAARGPTYPESTRING, INT, BOOLEAN, DEVICE, DEVICEREP…
holoscan-install-wheel
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
zener-language
Read or edit Zener HDL, package APIs, and tool-managed dependencies.
embedded-stm32
Best practices for embedded C/C++ development on STM32 microcontrollers using the HAL, covering peripherals, DMA, interrupts, memory constraints, and hardware-focused testing. Use when writing STM32 HAL code, configuring peripherals generated by STM32CubeMX, working with interrupts or DMA, debugging with SWD/JTAG…
001-commands-inventory
Use when you need to generate a checklist document with embedded commands inventory, following the embedded template exactly and producing INVENTORY-COMMANDS-JAVA.md in the project root. This should trigger for requests such as Create embedded commands inventory checklist; Generate INVENTORY-COMMANDS-JAVA.md; Use…