huawei-cloud-alarm-reduce-noise SKILL.md skillA

huawei-cloud-alarm-reduce-noise 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-alarm-reduce-noise@git:20261029.4ffb7a1

Pins git:20261029.4ffb7a1 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-alarm-reduce-noise/SKILL.md
Versions recorded
1
Latest version
git:20261029.4ffb7a1, committed Oct 29, 2026
Size
14,091 bytes
Repository stars
59
License
MIT

Huawei Cloud CES+AOM alarm noise reduction analysis skill. Analyzes CES (Cloud Eye Service) and AOM (Application Operations Management) alarm data, identifies high-frequency alarms, and generates noise reduction recommendations and optimization plans. Analysis covers four dimensions: alarm governance, alarm convergence, alarm correlation, and long-unresolved alarms. Supports core resource filtering and outputs an HTML optimization report. Use this skill when the user mentions 告警降噪, 告警优化, 告警治理…

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 Alarm Reduce Noise

## Overview

This skill analyzes Huawei Cloud CES (Cloud Eye Service) and AOM (Application Operations Management) alarm data, generates noise reduction recommendations across four dimensions, and outputs an HTML report:

1. **Alarm Governance** - Route grouping, deduplication analysis, suppression rules, silence rules (aligned with AOM noise reduction chain's 4 stages)
2. **Alarm Convergence** - Alarm storm identification, route grouping suggestions, alarm temporal correlation analysis
3. **Alarm Correlation** - Root cause analysis, derived alarm identification, suppression rule suggestions
4. **Long-Unresolved Alarms** - Tiered by 7/14/30/90 days, identifies long-unresolved alarms

Regions and core resources are automatically loaded from the key resource marker table (assets/关键资源标记表.xlsx). Only core resource alarms are analyzed.

Authentication: Huawei Cloud AK/SK via environment variables (HW_ACCESS_KEY / HW_SECRET_KEY), using hcloud CLI to call CES and AOM APIs.

Multi-region format: region list is auto-read from the key resource marker table. The HTML report provides a region switcher at the top. Only core resource alarms are analyzed.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-alarm-reduce-noise@sha256:fc8d769d647cd1b1

The line at the top of this page pins the label git:20261029.4ffb7a1, 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_ccvpytvrraxjffbt.svg)](https://markdownregistry.com/a/art_ccvpytvrraxjffbt)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 29, 2026.

versioncommittedcommitsizeaudit
git:20261029.4ffb7a1 latest2026-10-29 4ffb7a1 14,091 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 (14091 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_ccvpytvrraxjffbt
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-alarm-reduce-noise
GET https://markdownregistry.com/api/v1/blob/fc8d769d647cd1b13051527f78639f073540ae01a4bcfc05fb61904bb511aad3

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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