huawei-cloud-ces-aom-capacity-assessment SKILL.md skillA

huawei-cloud-ces-aom-capacity-assessment from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ces-aom-capacity-assessment@git:20260928.a8dec4b

Pins git:20260928.a8dec4b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
huaweicloud/huaweicloud-skills
Path
skills/monitoring/ces/huawei-cloud-ces-aom-capacity-assessment/SKILL.md
Versions recorded
1
Latest version
git:20260928.a8dec4b, committed Sep 28, 2026
Size
18,467 bytes
Repository stars
59
License
MIT

Huawei Cloud capacity assessment. Assesses capacity for instances across 21 services (NAT/RDS/ECS/ELB/EIP/CSS/DDS/DWS/DCS/DMS/TaurusDB/GeminiDB/DC/ER/EVS/EFS Turbo/APIG/DRS/VPCEP/Bandwidth/CCE) by comparing peak/valley fluctuations of monitoring data between entry instances and target instances, calculating pressure coefficients to predict festival traffic ceilings, and giving scale-out recommendations. Data collection uses hcloud (KooCLI) CES commands…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Huawei Cloud Capacity Assessment

Assesses instances in the Excel capacity template: collects monitoring data (hcloud CES; CCE and other cloud-native metrics via hcloud AOM),
computes peak/valley multiples, pressure coefficients, and expected festival ceilings, decides whether business peaks (festival events)
need scale-out, and writes results back to Excel.

## Core division of labor (must follow)

- **The script does all computation, data collection, and Excel read/write**; the model only orchestrates the flow, selects modes, and reports results.
- The model **must not** manually compute peak/valley or pressure coefficients, and **must not** make logic decisions beyond writing Excel cells.
- The model **must not** investigate root causes of collection failures (§9.3); report failure details to the user as-is.

## Script locations and dependencies

```bash
<SKILL_DIR>/scripts/capacity_cli.py        # Unified CLI entry point
<SKILL_DIR>/scripts/requirements.txt       # Dependency: openpyxl
<SKILL_DIR>/references/metrics.json         # 238-metric registry (Chinese name → CES/AOM metric_name + namespace + dimensions + ceiling + unit)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ces-aom-capacity-assessment@sha256:54b84a26592731b3

The line at the top of this page pins the label git:20260928.a8dec4b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bowx67quvynagryz.svg)](https://markdownregistry.com/a/art_bowx67quvynagryz)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 28, 2026.

versioncommittedcommitsizeaudit
git:20260928.a8dec4b latest2026-09-28 a8dec4b 18,467 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18467 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_bowx67quvynagryz
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-ces-aom-capacity-assessment
GET https://markdownregistry.com/api/v1/blob/54b84a26592731b3d0f330fbae3d7bf080057c7fa1f953ff69e684ccadab835b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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