Real Skill packageSource verifiedClawHub registry

huawei-cloud-dws-cpu-diag

DWS cluster CPU high root cause diagnosis skill, based on KooCLI v3.2.0+ and DWS Autopilot MCP Server. Automatically collects CPU metrics, analyzes root causes (customer-side / system-side), and outputs a standardized diagnosis report. Applicable to DWS cluster CPU usage too high, CPU alarms, CPU load anomaly scenarios. Trigger words: "CPU高", "CPU告警", "CPU诊断", "CPU使用率过高", "CPU满", "high CPU", "CPU alarm", "CPU diagnosis"

Identity and source

Publisher attributionhuaweicloudskillregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 58% rule confidence
Package forminstruction bundle6 recorded files
Canonical sourceClawHub registryclawhub:huaweicloudskill:huawei-cloud-dws-cpu-diag
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/23/2026.claude/skills/huawei-cloud-dws-cpu-diag

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses with warnings
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/23/2026.agents/skills/huawei-cloud-dws-cpu-diag
1 structural issue
  • warning: Codex portability follows Agent Skills, where allowed-tools is a space-separated string. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses with warnings
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/23/2026skills/huawei-cloud-dws-cpu-diag
1 structural issue
  • warning: OpenClaw portability follows Agent Skills, where allowed-tools is a space-separated string. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @huaweicloudskill/huawei-cloud-dws-cpu-diag
clawhub inspect @huaweicloudskill/huawei-cloud-dws-cpu-diag --version 1.0.1

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
full text content
Files
6 / 6 inspected as text
Checked
9/23/2026, 1:28:05 PM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
4 dependency and API indicators
  • api: clawhub.ai
  • api: github.com
  • api: obs-community-tool.obs.cn-north-1.myhuaweicloud.com
  • api: support.huaweicloud.com
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/21/2026, 6:54:18 AM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:732560532557cd66e2675939f48fdc7d92b5353bad7badbf7e9acb59535c5ce3
Show up to 6 recorded paths
  • references/cli-installation-guide.md
  • references/dws-mcp-installation-guide.md
  • references/iam-policies.md
  • references/metric-reference.md
  • skill-card.md
  • SKILL.md

Source changelog

- Updated skill description and documentation with detailed diagnosis process for DWS cluster CPU high usage/alarm scenarios, including standardized tool usage and fallback logic. - Added clear input/output schema specifications, listing all required and optional parameters and response fields. - Defined trigger keywords and relevant resource types to enhance skill activation accuracy. - Outlined command format, parameter mapping, and robust tool selection/fallback strategy between KooCLI and MCP Server. - Established strict pagination rules for all data queries to ensure efficiency and prevent token overflow.