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.
npx skills add huaweicloud/huaweicloud-skills --skill huawei-cloud-dws-dymem-diaggit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote 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.
[](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-dymem-diag)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-dymem-diag"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-dymem-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.
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-dymem-diag"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-dws-dymem-diag.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 106 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 404 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.
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 | $0.00147 | $0.06686 |
| Opus 5 | $0.00073 | $0.03343 |
| Sonnet 5 | $0.00029 | $0.01337 |
| Haiku 4.5 | $0.00015 | $0.00669 |
Grade A, and why
huawei-cloud-dws-dymem-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.
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud DWS Memory High Diagnosis Skill
Overview
This skill is dedicated to DWS cluster memory high root cause diagnosis. When a cluster triggers a memory usage too high alarm, it automatically collects metric data, analyzes root causes (customer-side / system-side), 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 memory usage too high alarm
- Memory insufficient / OOM investigation
- User-initiated memory diagnosis request
Typical Use Cases:
- "My DWS cluster memory usage is very high, help diagnose"
- "Received a memory alarm, cluster ID is xxx, help analyze the cause"
- "DWS cluster has OOM, 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: Memory usage formulas, CN/DN instance distinction, memory_pool analysis, memory thresholds, and important principles are documented in Memory 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 listto check credential status
What ships with it
6 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.
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 · 409 lines · 147 tokens per session scan A 71fdaec0648c
huawei-cloud-dws-dymem-diag is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 6,686 once invoked, about $0.0007 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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