Agent skill

Torch Npu Comm Test

by ascend-ai-coding in ascend-ai-coding/awesome-ascend-skills

通过 PyTorch torch.distributed 接口测试昇腾 NPU 通信算子性能。支持指定任意 tensor shape、dtype，使用 torchrun 启动，贴近真实训练场景的通信算子测试与性能分析。Use for testing collective communication operators (AllReduce, AllGather, ReduceScatter…

No licenceAuto-check passedAI & LLM Engineering

Install Torch Npu Comm Test

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a claude-code

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

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test --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/training/torch-npu-comm-test .claude/skills/torch-npu-comm-test && 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/

Paste into Claude Code

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .claude/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/training/torch-npu-comm-test .agents/skills/torch-npu-comm-test && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .agents/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/training/torch-npu-comm-test .cursor/skills/torch-npu-comm-test && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .cursor/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ascend-ai-coding/awesome-ascend-skills.git --path skills/training/torch-npu-comm-test

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/training/torch-npu-comm-test .gemini/skills/torch-npu-comm-test && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .gemini/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/training/torch-npu-comm-test .github/skills/torch-npu-comm-test && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .github/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill torch-npu-comm-test -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ascend-ai-coding/awesome-ascend-skills torch-npu-comm-test --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/training/torch-npu-comm-test .opencode/skills/torch-npu-comm-test && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "torch-npu-comm-test" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/torch-npu-comm-test into .opencode/skills/torch-npu-comm-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "torch-npu-comm-test", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: torch-npu-comm-test
GitHub stars: 174
Token cost: ~2.2k tokens
SKILL.md length: 485 words
Files: 5 (incl. scripts, references)
Skills in repo: 70
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Works in 8 steps: Prerequisites → Supported Operations → Usage → …
Testing collective communication operators (AllReduce
SKILL.md covers Overview, Quick Reference, 1. Prerequisites and 2. Supported Operations, plus 7 more sections
Runs Shell and Python scripts from its folder; calls python3

What it does

Torch Npu Comm Test is an agent skill from ascend-ai-coding/awesome-ascend-skills. 通过 PyTorch torch.distributed 接口测试昇腾 NPU 通信算子性能。支持指定任意 tensor shape、dtype，使用 torchrun 启动，贴近真实训练场景的通信算子测试与性能分析。Use for testing collective communication operators (AllReduce, AllGather, ReduceScatter, etc.) with specific tensor shapes via torch.distributed on Ascend NPU.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/common-issues.md`, `references/supported-ops.md` and `scripts/batch-bench.sh`).

It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch. 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

Testing collective communication operators (AllReduce
Etc.) with specific tensor shapes via torch.distributed on Ascend NPU

Example prompts

“/torch-npu-comm-test”

Requirements

Python 3
A Bash shell

Workflow steps

8 steps, taken from the step headings in SKILL.md.

Prerequisites
Supported Operations
Usage
Parameters
Understanding Results
Real-World Shape Examples
Common Issues
Scripts

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 2 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- pytorch.org
- hiascend.com
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

Torch Npu Comm Test loads about 2.2k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 485 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~72
When it runs · the whole SKILL.md, loaded when a task matches: ~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.3k

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 485 words (~2,192 tokens).

“通过 PyTorch torch.distributed 接口，使用 HCCL 后端在昇腾 NPU 上测试通信算子的功能与性能。”

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

name: torch-npu-comm-test
keywords: torch.distributed, 通信算子, collective communication, allreduce, allgather, reduce_scatter, torchrun, HCCL, 性能测试, shape

Outline of SKILL.md

Torch Communication Operator Test
Overview
何时使用本 Skill（vs hccl-test）
核心优势
Quick Reference
1. Prerequisites
1.1 软件依赖
1.2 环境配置
1.3 多机额外要求
2. Supported Operations
3. Usage
3.1 单机测试
3.2 多机测试
3.3 子组测试
3.4 批量测试
4. Parameters
4.1 comm-bench.py 参数
4.2 数据类型映射
5. Understanding Results
5.1 输出格式
5.2 字段说明
5.3 带宽计算公式
6. Real-World Shape Examples
7. Common Issues
8. Scripts
8.1 comm-bench.py
8.2 batch-bench.sh
Official References

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in skills/training/torch-npu-comm-test of ascend-ai-coding/awesome-ascend-skills.

SKILL.md
references/common-issues.md
references/supported-ops.md
scripts/batch-bench.sh
scripts/comm-bench.py

Open the folder on GitHubat commit 62a4ecb

Compare with similar skills

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Works with

PyTorch

Questions about Torch Npu Comm Test

What does Torch Npu Comm Test do?

When should I use Torch Npu Comm Test?

Torch Npu Comm Test fits situations like: testing collective communication operators (AllReduce; etc.) with specific tensor shapes via torch.distributed on Ascend NPU.

How do I install Torch Npu Comm Test in Claude Code?

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

How do I install Torch Npu Comm Test in Codex?

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

Can I use Torch Npu Comm Test 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 torch-npu-comm-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/torch-npu-comm-test, .gemini/skills/torch-npu-comm-test, .github/skills/torch-npu-comm-test and .opencode/skills/torch-npu-comm-test in your project.

What does Torch Npu Comm Test need to run?

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

Does Torch Npu Comm Test access the network?

SKILL.md names 2 domains. As links in the text: pytorch.org and hiascend.com. This is read from the text; nothing was executed.

Is Torch Npu Comm Test 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 Torch Npu Comm Test use?

No licence was found for Torch Npu Comm Test or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Torch Npu Comm Test use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Torch Npu Comm Test?

Skills that share tags, products or a category with Torch Npu Comm Test: Add Uint Support (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars) and Interview Cheatsheet (wanshuiyin/ARIS-in-AI-Offer, 580 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Torch Npu Comm Test?

ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 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.

Install Torch Npu Comm Test

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from ascend-ai-coding/awesome-ascend-skills

Related

Questions about Torch Npu Comm Test