Real Skill packageSource verifiedClawHub registry

huawei-cloud-dws-dymem-diag

DWS cluster memory high root cause diagnosis skill, based on KooCLI v3.2.0+ and DWS Autopilot MCP Server. Automatically collects memory metrics, analyzes root causes (customer-side / system-side), and outputs a standardized diagnosis report. Applicable to DWS cluster memory usage too high, memory alarms, OOM scenarios. Trigger words: "内存高", "内存告警", "内存诊断", "内存使用率过高", "内存不足", "OOM", "内存溢出", "动态内存使用率超阈值", "high memory", "memory alarm", "memory diagnosis"

Identity and source

Publisher attributionhuaweicloud-skills-teamregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 64% rule confidence
Package forminstruction bundle8 recorded files
Canonical sourceClawHub registryclawhub:huaweiclouddev:huawei-cloud-dws-dymem-diag
Open canonical source ↗

Platform declarations

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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 · 8/24/2026.claude/skills/huawei-cloud-dws-dymem-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 · 8/24/2026.agents/skills/huawei-cloud-dws-dymem-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 · 8/24/2026skills/huawei-cloud-dws-dymem-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 @huaweiclouddev/huawei-cloud-dws-dymem-diag
clawhub inspect @huaweiclouddev/huawei-cloud-dws-dymem-diag --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
8 / 8 inspected as text
Checked
8/24/2026, 1:20:36 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
8/24/2026, 7:13:55 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 hashsha256:3ffd04b1ee6d8d541f7732eaa023890fca7b009555eab72910c4f423a8886f5e
Show up to 8 recorded paths
  • references/cli-installation-guide.md
  • references/dws-mcp-installation-guide.md
  • references/iam-policies.md
  • references/memory-background.md
  • references/metric-reference.md
  • references/output-format.md
  • skill-card.md
  • SKILL.md

Source changelog

Huawei Cloud DWS Memory High Diagnosis Skill v1.0.0 - Initial release supporting DWS cluster memory high/insufficient/OOM alarm diagnosis. - Automatically collects cluster memory metrics and analyzes root causes (customer/system-side). - Generates standardized diagnosis reports in HTML format. - Supports fallback to MCP Server if KooCLI (hcloud) is unavailable. - Provides clear rules for tool selection, error handling, and termination. - Designed for use in alarm-driven or user-initiated memory diagnosis scenarios.