What is huawei-cloud-dws-io-diag?

A troubleshooting guide for high disk input/output on Huawei Cloud DWS clusters, which are managed data-warehouse databases. It collects monitoring data and uses a decision process to identify whether the overload is caused by the customer or the system.

Use it to investigate DWS I/O overload alarms, abnormal disk activity, or a cluster whose disk usage is constantly near its limit.

It turns an I/O alarm or unusually busy disk into a structured root-cause report based on collected cluster metrics.

huawei-cloud-dws-io-diag — Skill for Claude Code by huaweicloud

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-dws-io-diag

Clone the repo

git clone --depth 1 https://github.com/huaweicloud/huaweicloud-skills

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag/github.svg)](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag)

Your own site

<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-io-diag.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 170 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 10,125 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, 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 103
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.
medium Excessive Agency · line 521
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.

Model	Per session	Once invoked
Fable 5.1	$0.00170	$0.10125
Opus 5	$0.00085	$0.05063
Sonnet 5	$0.00034	$0.02025
Haiku 4.5	$0.00017	$0.01013

Measured 12d ago against content hash 2fd9dd608861, 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-dws-io-diag 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 12d ago.

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/bigdata/dws/huawei-cloud-dws-io-diag/SKILL.md · 527 lines

How it starts

The opening of the file, as written. The whole thing — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Huawei Cloud DWS I/O Overload Diagnosis Skill

Overview

This skill is dedicated to DWS cluster I/O overload root cause diagnosis. When a cluster triggers an I/O usage too high alarm, it automatically collects metric data, analyzes root causes (customer-side / system-side) via a three-stage decision tree, and outputs a standardized diagnosis report.

Architecture: KooCLI (hcloud) → DWS Autopilot API → Cluster monitoring metrics; MCP Server (dws_autopilot) → Fallback channel for the same API

Applicable Scenarios:

DWS cluster I/O usage too high alarm
Disk I/O load anomaly investigation
User-initiated I/O diagnosis request

Typical Use Cases:

"My DWS cluster I/O usage is very high, help diagnose"
"Received an I/O alarm, cluster ID is xxx, help analyze the cause"
"DWS cluster disk util is maxed out, see what's causing it"

Important Rules: All diagnosis conclusions must come from actual tool return results. Fabricating or assuming values is prohibited. Output only contains the diagnosis report; adding remediation suggestions, outputting SQL optimization statements, and using emoji are prohibited.

Background Knowledge: RAID architecture, I/O key metric thresholds, three major I/O scenario indicator features, and important principles are documented in I/O Background Knowledge. Must read before diagnosis.

Prerequisites

1. CLI Requirements

KooCLI (hcloud) >= 3.2.0
Verify installation: hcloud version
If not installed or version too low, see CLI Installation Guide

2. MCP Server Configuration (Fallback)

When KooCLI is unavailable, use MCP Server as an alternative
See MCP Installation Guide

3. Authentication Configuration

Valid Huawei Cloud credentials (AK/SK mode or IAM Token)
Security Rules:
- Never expose AK/SK values in conversations or commands
- Never ask users to input AK/SK directly in conversation
- Only use hcloud configure list to check credential status

Read the full file on GitHub · 527 lines

Files

What ships with it

8 files 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.

12d ago First seen · 527 lines · 170 tokens per session scan A 2fd9dd608861

Subscribe to this mod's changes

huawei-cloud-dws-io-diag is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 170 tokens to every session and 10,125 once invoked, about $0.0009 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 2026-08-30.

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