Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
昇腾 NPU 单算子性能基准测试 Skill；当前版本只做现有环境检查、CANN 版本识别、用户确认后执行 benchmark，不负责修复或安装环境。
Install Npu Op Benchmark
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmark --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/ops/npu-op-benchmark .claude/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.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/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .claude/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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 install https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmarkType 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.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/ops/npu-op-benchmark .agents/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .agents/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/ops/npu-op-benchmark .cursor/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .cursor/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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 https://github.com/ascend-ai-coding/awesome-ascend-skills.git --path skills/ops/npu-op-benchmark--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/ops/npu-op-benchmark .gemini/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.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/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .gemini/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmarkInstalls 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).
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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/ops/npu-op-benchmark .github/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.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/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .github/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills npu-op-benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/ops/npu-op-benchmark .opencode/skills/npu-op-benchmark && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "npu-op-benchmark" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ops/npu-op-benchmark into .opencode/skills/npu-op-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "npu-op-benchmark", 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
npu-op-benchmark- GitHub stars
- 174
- Token cost
- ~617 tokens
- SKILL.md length
- 149 words
- Files
- 11 (incl. scripts, references, assets)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
昇腾 NPU 单算子性能基准测试 Skill；当前版本只做现有环境检查、CANN 版本识别、用户确认后执行 benchmark，不负责修复或安装环境。
- Works in 12 steps: 首次向使用者收集信息时，用自然语言说明需要这些内容，不要直接丢固定模板。推荐表述为… → 如果使用者没有提供服务器 IP、账号、密码，直接中断，不猜测环境。 → CANN 检查优先使用使用者提供的 CANN 目录；未提供或填写 无 时，再按… → …
- DevOps & Cloud work in your project
- SKILL.md covers 执行策略, 返回结果 and 入口
- Runs Python and Shell scripts from its folder; calls conda and docker
What it does
Npu Op Benchmark is an agent skill from ascend-ai-coding/awesome-ascend-skills. 昇腾 NPU 单算子性能基准测试 Skill；当前版本只做现有环境检查、CANN 版本识别、用户确认后执行 benchmark，不负责修复或安装环境。
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `assets/config_template.yaml`, `references/cann.md` and `references/conda.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
- DevOps & Cloud work in your project
Example prompts
- “/npu-op-benchmark”
Requirements
- Python 3
- A Bash shell
- Docker
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- 首次向使用者收集信息时，用自然语言说明需要这些内容，不要直接丢固定模板。推荐表述为：我需要服务器信息（IP、账号、密码）；版本要求（CANN 和 torch，没有可以不用写）；测试环境（conda 环境名、docker 容器名、CANN 目录，没有可以不写）；以及 demo…
- 如果使用者没有提供服务器 IP、账号、密码，直接中断，不猜测环境。
- CANN 检查优先使用使用者提供的 CANN 目录；未提供或填写 无 时，再按 cann 检索常见路径并判断当前版本布局
- 如果使用者填写了 conda 环境名，优先按 conda 走 conda 方案。
- 如果使用者填写了 docker 容器名，优先按 docker 检查该容器。
- 如果 conda 环境名 和 docker 容器名 都是 无，则先查 conda 候选环境；用户不接受 conda 时再查容器候选环境。
- 无论 conda 还是容器，都必须先把环境名、torch/torch_npu 版本、CANN 版本返回给使用者确认，再执行 benchmark。
- demo 方案 只接受两种值：我生成 或 我提供。如果使用者选择 我提供，优先使用使用者提供的 demo 或算子补充信息。
- 当前仓库里的 assets/config_template.yaml、scripts/bench_repeat_interleave.py 和 scripts/bench_op.py 中 repeat_interleave 相关内容只是示例，不代表这个 Skill 只支持测试…
- 如果使用者未提供额外用例，agent 可以根据目标算子的性能测试原则自行设计 demo；设计完成后先返回给使用者。
- 真正执行 benchmark 时，优先复用目标环境原本已有的 torch 和 torch_npu，不要重复安装。
- 如果当前环境缺少目标 CANN、torch_npu 不可用、或算子执行报环境错误，立即停止，不修环境；直接要求使用者提供新的可用环境。
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 4 files in scripts/ (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
condadocker
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, 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
Npu Op Benchmark loads about 617 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 149 words of instructions outside code blocks.
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 149 words (~617 tokens).
- name
- npu-op-benchmark
- keywords
- Ascend, NPU, torch_npu, CANN, benchmark, operator, repeat_interleave, transpose, docker, ssh
Files
SKILL.md and 10 other files (scripts, references, assets) in skills/ops/npu-op-benchmark of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- assets/config_template.yaml
- references/cann.md
- references/conda.md
- references/docker.md
- references/troubleshooting.md
- references/usage.md
- scripts/bench_op.py
- scripts/bench_repeat_interleave.py
- scripts/cann_detect.sh
- scripts/find_docker_cann.sh
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
Npu Op Benchmark 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Npu Op Benchmark this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~617 | Automated safety check: Pass | None | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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Works with
Categories
Questions about Npu Op Benchmark
What does Npu Op Benchmark do?
昇腾 NPU 单算子性能基准测试 Skill；当前版本只做现有环境检查、CANN 版本识别、用户确认后执行 benchmark，不负责修复或安装环境。. Npu Op Benchmark is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use Npu Op Benchmark?
Npu Op Benchmark fits situations like: devOps & Cloud work in your project.
How do I install Npu Op Benchmark in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a claude-code`. Or copy the skill folder (skills/ops/npu-op-benchmark in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/npu-op-benchmark in your project. Claude Code loads it when a task matches its description.
How do I install Npu Op Benchmark in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill npu-op-benchmark -a codex`. Or copy the skill folder (skills/ops/npu-op-benchmark in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/npu-op-benchmark in your project. Codex loads it when a task matches its description.
Can I use Npu Op Benchmark 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 npu-op-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/npu-op-benchmark, .gemini/skills/npu-op-benchmark, .github/skills/npu-op-benchmark and .opencode/skills/npu-op-benchmark in your project.
What does Npu Op Benchmark need to run?
Going by SKILL.md and its folder, Npu Op Benchmark needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (conda and docker). Our summary lists: Python 3; A Bash shell; Docker.
Does Npu Op Benchmark access the network?
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Npu Op Benchmark 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 Npu Op Benchmark use?
No licence was found for Npu Op Benchmark or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Npu Op Benchmark use?
About 617 tokens (SKILL.md is roughly 2.5k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Npu Op Benchmark?
Skills that share tags, products or a category with Npu Op Benchmark: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Npu Op Benchmark?
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.