azure-troubleshooting

REVIEW · 55
Registry indexed

Investigate Azure incidents and service degradations with a read-only workflow using Azure CLI, Resource Health, Activity Log, metrics, resource logs, and official Microsoft docs. Use when troubleshooting Azure outages, Resource Health alerts, Azure Firewall or DNS failures, Expr

Verified installs0
Stars25
Version1.0.0
Quality61/100 · Promising
Trust55/100 · Do not auto-install
Audit72/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + Browser agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting

Maintenance

fresh

Pushed today

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

25

61/100 Quality · 63/100 Trust

Coverage tags

CodingGitHub automationresearchagent-skill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
61

Useful candidate, but compare it with alternatives before adopting.

Trust

Do not auto-install
55

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
72

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

25 GitHub stars

Repo activity

25 stars, 4 forks

Maintenance

Pushed today

License

CC BY-NC-SA 4.0

Install

npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill is primarily written in Japanese, which may limit accessibility for non-Japanese-speaking users.
  • License restricts commercial reuse
  • Low GitHub adoption signal
  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License has commercial-use restrictions
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Install decision

Command
npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting
Policy
block
Human review
yes

Trust and risk

Trust
55/100
Audit
72/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill is primarily written in Japanese, which may limit accessibility for non-Japanese-speaking users.
  • High-risk permission hints: Shell or command execution, Secrets or environment access

Agent safety v2

24/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aktsmm-azure-troubleshooting

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use azure-troubleshooting in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20azure-troubleshooting%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aktsmm-azure-troubleshooting/install
Install command: npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use azure-troubleshooting for this task. Review https://www.openagentskill.com/api/skills/aktsmm-azure-troubleshooting/install, then install with: npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

61/100

Research agents

Platforms

Claude Code, Browser agents

Audit report

Needs review · 72/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

61
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 61/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal
  • The skill is primarily written in Japanese, which may limit accessibility for non-Japanese-speaking users.

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

55
OpenAgentSkill Trust Score

GitHub adoption

CHECK

25 GitHub stars

Stars/forks activity

CHECK

25 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

CHECK

CC BY-NC-SA 4.0 - confirm commercial-use terms

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill is primarily written in Japanese, which may limit accessibility for non-Japanese-speaking users.
  • License restricts commercial reuse
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 25 GitHub stars
  • Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
  • License clarity: CC BY-NC-SA 4.0 - confirm commercial-use terms
  • Dependency/runtime risk: command execution surface, network or browser surface
  • Permission surface: shell or command execution, filesystem or document access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

61
GitHub stars
25
Freshness
Today
Install ready
Yes
License
CC BY-NC-SA 4.0
Review before install: Low GitHub adoption signal · The skill is primarily written in Japanese, which may limit accessibility for non-Japanese-speaking users.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: azure-troubleshooting description: "Investigate Azure incidents and service degradations with a read-only workflow using Azure CLI, Resource Health, Activity Log, metrics, resource logs, and official Microsoft docs. Use when troubleshooting Azure outages, Resource Health alerts, Azure Firewall or DNS failures, ExpressRoute or BGP instability, VM availability problems, AKS incidents, App Service failures, database connectivity issues, Entra ID sign-in problems, load balancer issues, platform-vs-workload cutover, or drafting a troubleshooting report. Triggers on 'Azure トラブルシューティング', '障害調査', '切り分け', 'Resource Health', '復旧確認', 'Azure Firewall', 'DNS', 'ExpressRoute', 'VPN Gateway', 'BGP', 'AKS', 'App Service', 'SQL', 'PostgreSQL', 'Cosmos DB', 'Entra ID', 'incident', 'degraded', 'unavailable'." argument-hint: "subscription ID, resource ID(s), symptom, occurrence time, and current user impact" user-invocable: true license: CC BY-NC-SA 4.0 metadata: author: yamapan (https://github.com/aktsmm) ---

# Azure Troubleshooting

Azure の障害調査、切り分け、初動確認、復旧確認を read-only で進め、事実ベースのレポートへ落とすための workspace skill。

## When to Use

- Azure リソースの障害、性能劣化、到達性異常を調査したいとき - Azure Resource Health の Active / Updated / Resolved イベントを解釈したいとき - Load Balancer、VM、NIC、NSG、Activity Log を軸に原因を切り分けたいとき - AKS、App Service、Azure SQL、PostgreSQL、Cosmos DB、Entra ID の障害切り分けをしたいとき - Azure プラットフォーム障害か、顧客側の構成 / OS / アプリ障害かを切り分けたいとき - 調査結果を `Troubleshooting/` 向けレポートとして保存したいとき

## When NOT to Use

- 通常の製品 Q&A や比較検討だけを行うとき - 変更作業や復旧操作を実行するとき - 設計提案やベストプラクティス整理が主目的のとき

## Inputs

最低限、以下のうち 1 つ以上を受け取る。

- サブスクリプション ID - リソース ID またはリソース名 + Resource Group - 発生時刻 - 影響症状 - 監視アラート本文

不足している場合は、調査に必要なキー情報だけ追加確認する。

## Core Rules

- まず live 状態を read-only で確認し、推測より観測結果を優先する - Azure CLI / Activity Log / Resource Health の事実と、そこからの解釈を分けて書く - Activity Log は control-plane の履歴確認に有効だが、network runtime event の証明には過信しない - 現在も障害中か、過去に発生して既に復旧したのかを最初に切り分ける - Microsoft / Azure の意味づけは公式 Docs で裏付ける - 障害調査レポートは `Troubleshooting/` を正本にし、`Answer/` と重複保存しない - Load Balancer 系では Resource Health が復旧済みでも `VipAvailability` と `DipAvailability` を確認する - `DipAvailability` の `BackendPort` と `BackendIPAddress` は別次元集計として扱い、直接の 1 台 1 ポート値として書かない - VPN Gateway や BGP flap 疑いでは、Activity Log だけで `瞬断なし` と断定せず、RouteDiagnosticLog / TunnelDiagnosticLog / BGP 系メトリクスの有無も確認する - 報告書では「報告書としては」のようなメタ表現を避け、判断文そのものへ落とす - 破壊的操作、構成変更、再起動、フェールオーバーはこの skill の範囲外

## Workflow

1. Scope Fix: affected resource, time window, resource ID, and current user impact. 2. Live Fact Collection: auth/subscription, current resource state, Activity Log, Resource Health, and dependent resources. 3. Platform vs Workload Split: decide active Azure platform impact, recovered Azure event, or customer-side continuing issue. 4. Service Branch: use [references/service-branches.md](references/service-branches.md) for shared network/DNS, Azure Firewall, ExpressRoute, AKS, App Service, Database, Entra ID, Load Balancer, VPN/BGP. 5. Official Grounding: verify Resource Health, diagnostic limits, and service-specific claims with Microsoft Learn URLs. 6. Report Synthesis: primary conclusion, facts, current state, interpretation, next checks, and SR identifiers if needed. 7. Save: troubleshooting records go to `Troubleshooting/`; ordinary Q&A answers go to `Answer/`.

## Decision Points

- Auth blocked: report MFA/Conditional Access status and prefer normal browser login when device code is blocked. - Resource Graph gaps: child resources may be missing; construct child IDs and query `az resource show --ids` directly. - Recovered Resource Health: do not call it ongoing once `Resolved` and current `Available` are confirmed. - Run Command RBAC: do not imply guest execution is possible without `Microsoft.Compute/virtualMachines/runCommand/action` or equivalent role evidence. - Incomplete scope: resolve resource ID / subscription / resource group first; do not broaden blindly. - No official doc: state that the official docs do not explicitly say it, and separate observation from hypothesis.

## Done Criteria

- [ ] 対象リソースと発生時刻が明確 - [ ] current state を live で確認済み - [ ] Activity Log または同等の履歴を確認済み - [ ] network runtime が論点なら、Activity Log だけで足りるか / resource logs や metrics が必要かを判定済み - [ ] Azure 側継続影響か、復旧済みか、顧客側継続影響かを切り分け済み - [ ] 公式 Docs の URL を最低 1 件以上付与 - [ ] 事実と解釈を分けて記述 - [ ] レポートを `Troubleshooting/` へ保存、または保存先判定理由を明示

## Output Shape

レポートは `回答`、`いただいた質問`、`事実確認結果`、`解釈`、`次に確認すべきこと` を基本にする。詳細テンプレートは [references/report-template.md](references/report-template.md) を使う。

## Support Response Translation

サポートや他ベンダーからの技術回答をそのまま顧客へ渡すと、被疑箇所が並列に並んだだけの文書になり、顧客はどこから着手するか判断できない。次の形へ読み替えてから渡す。

- 項目ごとに「どのホストで、誰が実施するか」を先に確定する。回答本文に書かれていないことが多く、ここが欠けると認識違いのまま作業が始まる。 - 回答内で「可能性は低い」と評価済みの項目は明示的に降格する。並列表記のままだと全件調査に見え、顧客の作業量が実態より膨らむ。 - 「いま実施できること」と「再現時に採取するもの」を分ける。断続事象では、再現時採取の準備を先に終わらせないと証跡そのものが取れない。 - 元回答のセクションと作業項目の対応表を付け、顧客が原文と並べて読めるようにする。 - 多段の依存関係(CNAME チェーン、経路、依存サービス)は文章ではなく図で示し、どの段で落ちているかを 1 目で分かるようにする。 - 元回答に無い推測を混ぜない。こちらの解釈は解釈として区別して書く。

## Example Prompts

- `/azure-troubleshooting subscription ID と resource ID を渡すので、Azure 側継続障害か切り分けて` - `/azure-troubleshooting Resource Health の PlatformInitiated アラートが来た。current state と Activity Log を見て報告書を作って` - `/azure-troubleshooting Load Balancer と配下 VM の障害調査をして、Troubleshooting に保存して` - `/azure-troubleshooting AKS の API server は生きていそうだが Pod が不安定。Azure 側かワークロード側か切り分けて` - `/azure-troubleshooting App Service が 5xx を返している。platform 障害か app 側か切り分けて` - `/azure-troubleshooting Azure SQL / PostgreSQL の接続障害を調べて、platform とネットワークを切り分けて` - `/azure-troubleshooting Entra ID のサインイン障害を tenant-wide か app-specific か切り分けて`

## References

- [references/service-branches.md](references/service-branches.md) - [references/report-template.md](references/report-template.md)

Technical details

Version
1.0.0
License
CC BY-NC-SA 4.0
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

61
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

72
Needs review
Security
72/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for azure-troubleshooting, ready for a manual X post.

Curator note
azure-troubleshooting: Investigate Azure incidents and service degradations with a read-only workflow using Azure CL...

25 stars

https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting?ref=x
Open X draft
Optional reply with install command
Listing + install path for azure-troubleshooting:
https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting?ref=x

Install: npx skills add aktsmm/Agent-Skills --skill azure-troubleshooting

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
aktsmm
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to aktsmm but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aktsmm-azure-troubleshooting?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aktsmm-azure-troubleshooting?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aktsmm-azure-troubleshooting?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aktsmm-azure-troubleshooting?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aktsmm-azure-troubleshooting)

Author

A

aktsmm

@aktsmm

Health signals

GitHub stars
25
Quality score
33/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
2
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

55
  • GitHub adoption25 GitHub starsCHECK
  • Stars/forks activity25 stars, 4 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityCC BY-NC-SA 4.0 - confirm commercial-use termsCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceCHECK