huawei-cloud-cce-chaos-experiment SKILL.md skillA

huawei-cloud-cce-chaos-experiment 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-cce-chaos-experiment@git:20260930.651f298

Pins git:20260930.651f298 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/container/cce/huawei-cloud-cce-chaos-experiment/SKILL.md
Versions recorded
1
Latest version
git:20260930.651f298, committed Sep 30, 2026
Size
15,054 bytes
Repository stars
59
License
MIT

Huawei Cloud CCE AZ power outage chaos experiment — end-to-end fault drill: discover clusters and node AZ distribution, validate cross-AZ capacity, shut down all CCE nodes in one AZ to simulate a power failure, observe Pod eviction and rescheduling to surviving AZs, then start nodes back and verify recovery, and optionally analyze logs for an impact report. Use this skill when the user wants to run or prepare a CCE fault drill / chaos experiment / AZ outage drill. Triggers: CCE, 故障演练, 混沌演练…

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 CCE AZ Power Outage Chaos Experiment

## Overview

End-to-end CCE AZ power outage chaos experiment in three phases:

```
Phase 1: Prepare          Phase 2: Execute           Phase 3: Log Analysis
─────────────             ──────────────             ──────────────────
Discover clusters    →    Pre-check (nodes Ready)  → Load experiment context
Select cluster            Shutdown (BatchStop)       Discover dependencies
Discover node AZs         Monitor (Node/Pod)         Collect logs (LTS + Pod)
Select target AZ          Wait (duration)            Analyze error patterns
Validate compatibility    Rollback (BatchStart)      Generate analysis report
Generate + deploy config  Verify + report
```

**Scenario**: Shut down all CCE nodes in one AZ → Kubernetes marks nodes NotReady → Pods
evicted and rescheduled to other AZs → start nodes back → verify recovery. Tests cluster
HA under AZ-level failure.

## Prerequisites

- **hcloud CLI** — installed and configured with AK/SK (ECS + CCE permissions)
- **kubectl** — installed and configured for CCE cluster access
- **Python 3** — for discovery, validation, execution, and analysis scripts
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cce-chaos-experiment@sha256:0929c67bbb04c8db

The line at the top of this page pins the label git:20260930.651f298, 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_kiryl6jqyqsmvxvh.svg)](https://markdownregistry.com/a/art_kiryl6jqyqsmvxvh)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 30, 2026.

versioncommittedcommitsizeaudit
git:20260930.651f298 latest2026-09-30 651f298 15,054 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 (15054 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_kiryl6jqyqsmvxvh
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-cce-chaos-experiment
GET https://markdownregistry.com/api/v1/blob/0929c67bbb04c8db9e41eb352cbb660d3c66c80d1a0c6018c2c8384f2b9363e7

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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