当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…

No licenceAuto-check passedDevOps & Cloud

Install Ascend Dmi

skills CLI
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-dmi -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ascend-ai-coding/awesome-ascend-skills ascend-dmi --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/base/ascend-dmi .claude/skills/ascend-dmi && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ascend-dmi
GitHub stars
174
Token cost
~1.7k tokens
SKILL.md length
457 words
Files
17 (incl. scripts, references, assets)
Skills in repo
69
Repo updated
First seen
Licence
None found

At a glance

当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…

  • Works in 3 steps: 告知用户影响:"该测试会独占 NPU,正在运行的训练/推理任务将被中断" → 获取用户确认后执行 → 添加 -q 参数跳过命令行交互提示
  • The user wants to measure
  • SKILL.md covers 快速决策:根据操作类型选择路径, 第 1 步:远程还是本地?, 第 2 步:环境检查 and 第 3 步:确认测试参数, plus 4 more sections
  • Runs Shell scripts from its folder; calls python3 and ssh

What it does

Ascend Dmi is an agent skill from ascend-ai-coding/awesome-ascend-skills. 当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提 ascend-dmi 也应触发): - "帮我测一下这台服务器的算力和带宽" - "看看 192.168.1.50 上 NPU 的温度和利用率" - "跑个 fp16 算力测试,看看 TFLOPS 多少" - "d2d 带宽有没有达标" - "3 号卡好像有问题,帮我诊断一下" - "NPU 卡住了,复位一下" - "对 8 张卡做个压力测试" - "跑个功耗测试,edp 模式" Use this skill whenever the user wants to measure, diagnose, or manage Ascend NPU hardware directly — including checking server…

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts, reference files and assets (for example `assets/report-template.md`, `references/command-cheatsheet.md` and `references/constraints.md`).

It sits in DevOps & Cloud. It works with Docker. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.

When your agent uses it

  • The user wants to measure
  • Manage Ascend NPU hardware directly — including checking server NPU performance (算力/带宽/功耗)
  • Diagnosing hardware faults
  • Resetting NPU cards

Example prompts

  • “帮我测一下这台服务器的算力和带宽”
  • “看看 192.168.1.50 上 NPU 的温度和利用率”
  • “跑个 fp16 算力测试,看看 TFLOPS 多少”
  • “/ascend-dmi”

Requirements

  • Python 3
  • A Bash shell
  • Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 告知用户影响:"该测试会独占 NPU,正在运行的训练/推理任务将被中断"
  2. 获取用户确认后执行
  3. 添加 -q 参数跳过命令行交互提示

What it can do on your machine

Read from SKILL.md and the folder at commit 62a4ecb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Shell, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • ssh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ascend Dmi loads about 1.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 203 tokens; SKILL.md has 457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~203
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 457 words (~1,708 tokens).

“Ascend DMI(Ascend Device Management Interface)是华为昇腾 NPU 设备的管理和诊断工具。”

— opening of SKILL.md by ascend-ai-coding
name
ascend-dmi

Read the full SKILL.md on GitHub

Files

SKILL.md and 16 other files (scripts, references, assets) in skills/base/ascend-dmi of ascend-ai-coding/awesome-ascend-skills.

  • SKILL.md
  • assets/report-template.md
  • references/command-cheatsheet.md
  • references/constraints.md
  • references/environment-setup.md
  • references/execution-guide.md
  • references/output-interpretation.md
  • references/parameters/bandwidth.md
  • references/parameters/common.md
  • references/parameters/diagnosis.md
  • references/parameters/flops.md
  • references/parameters/power.md
  • references/risk-assessment.md
  • scripts/templates/bandwidth-test.sh
  • scripts/templates/diagnose-test.sh
  • scripts/templates/health-check.sh
  • … and 1 more

Open the folder on GitHubat commit 62a4ecb

Compare with similar skills

Ascend Dmi next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ascend Dmi compared with similar skills
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Ascend Dmi this skillascend-ai-coding/awesome-ascend-skills174—~1.7kAutomated safety check: PassNone
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Borg Live Debugkaranhudia/borg-ui1.7k—~1.4kAutomated safety check: NotesAGPL-3.0
Reviewwerf/werf4.7k—~2kAutomated safety check: PassApache-2.0
Kurtosis Ethereumethpandaops/ethereum-package481—~1.6kAutomated safety check: NotesMIT
Megalinter Checknvuillam/npm-groovy-lint2481 repos~3.9kAutomated safety check: NotesMIT

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Works with

Questions about Ascend Dmi

What does Ascend Dmi do?

当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…. Ascend Dmi is an agent skill from ascend-ai-coding/awesome-ascend-skills.

When should I use Ascend Dmi?

Ascend Dmi fits situations like: the user wants to measure; manage Ascend NPU hardware directly — including checking server NPU performance (算力/带宽/功耗); diagnosing hardware faults; resetting NPU cards.

How do I install Ascend Dmi in Claude Code?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-dmi -a claude-code`. Or copy the skill folder (skills/base/ascend-dmi in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ascend-dmi in your project. Claude Code loads it when a task matches its description.

How do I install Ascend Dmi in Codex?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-dmi -a codex`. Or copy the skill folder (skills/base/ascend-dmi in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ascend-dmi in your project. Codex loads it when a task matches its description.

Can I use Ascend Dmi in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-dmi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ascend-dmi, .gemini/skills/ascend-dmi, .github/skills/ascend-dmi and .opencode/skills/ascend-dmi in your project.

What does Ascend Dmi need to run?

Going by SKILL.md and its folder, Ascend Dmi needs a shell for the scripts in its folder and the command-line tools its instructions call (python3 and ssh). Our summary lists: Python 3; A Bash shell; Docker.

Does Ascend Dmi access the network?

SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Ascend Dmi safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ascend Dmi use?

No licence was found for Ascend Dmi or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Ascend Dmi use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.

What are the alternatives to Ascend Dmi?

Skills that share tags, products or a category with Ascend Dmi: Aspire (microsoft/aspire.dev, 196 stars), Borg Live Debug (karanhudia/borg-ui, 1.7k stars), Review (werf/werf, 4.7k stars) and Kurtosis Ethereum (ethpandaops/ethereum-package, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ascend Dmi?

ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 7, 2026.

Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.