huawei-cloud-sac-yolo

huawei-cloud-sac-yolo is a skill for Claude Code, Codex from huaweicloud/huaweicloud-skills. It costs 64 tokens per session (2,304 once invoked), scanned A, original, MIT.

A Terraform-based deployment for a GPU training environment on Huawei Cloud for YOLO, a computer-vision model commonly used to detect objects in images and video.

In plain words
What is it for?
It helps provision GPU virtual machines, networking, storage, backups, Docker, and a YOLO training container.
Why use it?
It sets up the cloud infrastructure and software needed for GPU-based YOLO training instead of requiring every resource and installation step to be assembled manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit It helps provision GPU virtual machines, networking, storage, backups, Docker, and a YOLO training container.

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Install with agentmods
npx agentmods add skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo
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 huaweicloud/huaweicloud-skills --skill huawei-cloud-sac-yolo
Clone the repo
git clone --depth 1 https://github.com/huaweicloud/huaweicloud-skills

Made for: Claude Code, Codex.

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 huawei-cloud-sac-yolo

README.md
[![agentmods](https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo/github.svg)](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo)
Your own site
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo/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 huawei-cloud-sac-yolo

Your own site · 80×15
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-sac-yolo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,304 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 34
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original 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 $0.00064 $0.02304
Opus 5 $0.00032 $0.01152
Sonnet 5 $0.00013 $0.00461
Haiku 4.5 $0.00006 $0.00230

Measured 9d ago against content hash 5bfbae76cf5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

huawei-cloud-sac-yolo scanned grade A with 1 finding 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 9d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/download_tf_template_file.py, scripts/extract_sac_deploy_info.py, scripts/list_tf_variables.py, …), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`curl -s http://<EIP>:8001` returns 200
skills/solution/sac/huawei-cloud-sac-yolo/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Huawei Cloud YOLO Training Platform

Overview

Deploy the "Quickly Build YOLO Visual Model Training Platform" solution end-to-end on Huawei Cloud. The platform provides GPU-accelerated ECS for YOLO model training, with full infrastructure provisioning via Terraform.

Architecture: ECS (GPU, P2s/Pi2) and VPC and Subnet and Security Group (ICMP/SSH/HTTP) and EIP (300 Mbit/s) and EVS (100 GB system + 500 GB data) and CBR (backup vault + policy). Cloud-init installs Docker and launches the YOLO container on GPU.

Tool chain: Playwright CLI (solution info extraction) + Python 3.8+ (helper scripts) + Terraform 1.15.4+ (declarative deployment). No KooCLI — all resource operations through Terraform.

Prerequisites

  • Python 3.8+, Playwright CLI, Terraform 1.15.4+ — see CLI Installation Guide
  • Huawei Cloud AK/SK via environment variables (HW_ACCESS_KEY, HW_SECRET_KEY); if not set, prompt user to manually edit terraform.auto.tfvars.json to fill in AK/SK
  • IAM user with sufficient permissions or rf_admin_trust agency — see IAM Policies

Security

  • 🚫 Never expose AK/SK in conversation or output
  • 🚫 Never ask user to type AK/SK in chat
  • ✅ Prefer IAM users over primary account
  • ✅ Modification ops (apply, destroy) require explicit user confirmation

Core Commands

Placeholder values (see Parameters for per-OS resolution):

Placeholder Linux / macOS Windows
<python> python3 python
<script_dir> ./scripts ./scripts
<temp_dir> /tmp $env:TEMP
# 1. Extract solution info
<python> <script_dir>/extract_sac_deploy_info.py \
  --url "https://www.huaweicloud.com/solution/implementations/quickly-build-a-yolo-training-platform.html" \
  --out <temp_dir>/sac_selected.json

# 2. Download and normalize template
<python> <script_dir>/download_tf_template_file.py \
  --url "https://documentation-samples.obs.cn-north-4.myhuaweicloud.com/solution-as-code-publicbucket/solution-as-code-moudle/quickly-build-a-yolo-training-platform/quickly-build-a-yolo-training-platform.tf" \
  --out-dir <temp_dir>/yolo-workdir

<python> <script_dir>/normalize_tf_providers.py <temp_dir>/yolo-workdir \
  --region "cn-north-4"

# 3. List variables for review
<python> <script_dir>/list_tf_variables.py <temp_dir>/yolo-workdir

# 4. Deploy
terraform init
terraform plan
# ⛔ STOP — Review the plan output above. Do NOT auto-apply.
# Confirm with the user (AskUserQuestion or equivalent) before proceeding.
# Only after explicit user confirmation:
terraform apply

# 5. Add YOLO UI security group rule
# Prompt user to manually add an ingress rule for TCP port 8001
# via Huawei Cloud console (VPC > Security Groups > Add Rule).
# Use restricted CIDR — do NOT open to all addresses.
# Wait for user confirmation before continuing.

# 6. Verify
terraform state list
terraform output -json

# 7. Cleanup
terraform destroy

Read the full file on GitHub · 228 lines

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. 9d ago First seen · 228 lines · 64 tokens per session scan A 5bfbae76cf5a

Subscribe to this mod's changes

huawei-cloud-sac-yolo is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 2,304 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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