ascend-docker

ascend-docker is a skill for Claude Code, Codex from ascend-ai-coding/awesome-ascend-skills. It costs 76 tokens per session (1,555 once invoked), scanned A, original, no licence file.

A Docker setup guide for Huawei Ascend NPU development. Docker runs software in isolated containers, while an NPU is a processor designed for neural-network workloads.

In plain words
What is it for?
It is for creating isolated NPU workspaces, running CANN applications in Docker, and choosing privileged or basic container setups.
Why use it?
It helps configure device access and shared files correctly when running Ascend development tools inside containers.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Part of the ascend-base plugin — 7 skills shipped together

Good fit It is for creating isolated NPU workspaces, running CANN applications in Docker, and choosing privileged or basic container setups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker
Install

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.

Any agent
npx skills add ascend-ai-coding/awesome-ascend-skills --skill ascend-docker
Clone the repo
git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills

Made for: Claude Code, Codex.

Or install ascend-base, the plugin that ships this one along with the rest of its 7 skills.

Its marketplace also offers this one on its own, as the plugin ascend-docker/plugin install ascend-docker after adding the marketplace above.

Wrote 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.

agentmods badge for ascend-docker

README.md
[![agentmods](https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker/github.svg)](https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker)
Your own site
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker/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.

agentmods 80×15 button for ascend-docker

Your own site · 80×15
<a href="https://agentmods.dev/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker"><img src="https://agentmods.dev/badge/skills/ascend-ai-coding/awesome-ascend-skills/ascend-docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,555 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01555
Opus 5 $0.00038 $0.00777
Sonnet 5 $0.00015 $0.00311
Haiku 4.5 $0.00008 $0.00155

Measured 4d ago against content hash 885e51174323, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ascend-docker 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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run-ascend-container.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/base/ascend-docker/SKILL.md · 185 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 4d ago First seen · 185 lines · 76 tokens per session scan A 885e51174323

Subscribe to this mod's changes

ascend-docker is a skill published in the GitHub repository ascend-ai-coding/awesome-ascend-skills (167 stars, last pushed today), with no licence file. It adds 76 tokens to every session and 1,555 once invoked, about $0.0004 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 2026-09-05.

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