alibabacloud-ecs-windows-os-troubleshooting

alibabacloud-ecs-windows-os-troubleshooting is a skill for Claude Code, Codex from aliyun/alibabacloud-ecs-troubleshoot-skills. It costs 215 tokens per session (5,033 once invoked), scanned A, original, Apache-2.0.

A troubleshooting guide for Windows virtual machines running on Alibaba Cloud ECS, a cloud service that provides rented computers. It checks problems from inside a running machine or from an attached system disk when the machine cannot start.

In plain words
What is it for?
It helps diagnose and repair boot failures, blue screens, black screens, boot loops, and other Windows health problems on Alibaba Cloud ECS instances.
Why use it?
It gives a structured way to investigate Windows failures without confusing cloud account problems with issues inside the operating system.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps diagnose and repair boot failures, blue screens, black screens, boot loops, and other Windows health problems on Alibaba Cloud ECS instances.

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Install with agentmods
npx agentmods add skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting
Install

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.

Any agent
npx skills add aliyun/alibabacloud-ecs-troubleshoot-skills --skill alibabacloud-ecs-windows-os-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/aliyun/alibabacloud-ecs-troubleshoot-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for alibabacloud-ecs-windows-os-troubleshooting

README.md
[![agentmods](https://agentmods.dev/badge/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting/github.svg)](https://agentmods.dev/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting)
Your own site
<a href="https://agentmods.dev/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting/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.

agentmods 80×15 button for alibabacloud-ecs-windows-os-troubleshooting

Your own site · 80×15
<a href="https://agentmods.dev/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-ecs-troubleshoot-skills/alibabacloud-ecs-windows-os-troubleshooting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 215 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,033 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high Anti-Refusal · line 158
    Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.
    Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00215 $0.05033
Opus 5 $0.00108 $0.02516
Sonnet 5 $0.00043 $0.01007
Haiku 4.5 $0.00021 $0.00503

Measured 12d ago against content hash 816270030ea7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alibabacloud-ecs-windows-os-troubleshooting 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.

skills/alibabacloud-ecs-windows-os-troubleshooting/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ECS Windows Troubleshooting

This skill performs anomaly troubleshooting and diagnosis for Alibaba Cloud ECS Windows instances (online 7 problem domain groups and offline problem domain routing are defined in WORKFLOW-GUIDE.md and WORKFLOW-GUIDE.md respectively). It supports two diagnostic modes:

  • Online Diagnosis: The current Windows system is running. Troubleshoot layer by layer inside the GuestOS using PowerShell commands.
  • Offline Diagnosis: The faulty system disk has been mounted as a data disk on the current instance. Perform root cause analysis and fix on the mounted offline system disk.

This file only defines functional description and top-level flow. The specific troubleshooting logic, criteria, and fix scripts are all defined in the corresponding files under references/. When executing, you MUST load the corresponding file and strictly follow its content—relying on memory will miss root causes or produce incorrect fixes.

Out of Scope

  • Non-Alibaba Cloud ECS, non-Windows GuestOS, other clouds or physical machines
  • Pure management/billing/API-side issues with no GuestOS involvement
  • When no channel (online or offline) is available to perform troubleshooting inside the target instance

Principles and Requirements

  1. Collection result reuse: Prioritize reusing command collection results already executed within the session. Except when truly necessary (e.g., time window change, need for latest state, previous execution failed), it is prohibited to repeatedly execute the same collection command with the same parameters.
  2. Classify before investigate: First converge the user's description into a problem domain (pattern determination is described in "Phase 2" below; classification and sequence determination is executed in the "Path Planning" step after entering the corresponding mode's WORKFLOW-GUIDE), then execute according to the unified troubleshooting sequence for that domain. You must not skip classification and proceed with free-form troubleshooting.
  3. Self-service troubleshooting priority: Any information that can be obtained through PowerShell commands in the target environment MUST be collected directly; users must not be asked to execute manually. Only when the command execution channel cannot cover should you ask the user, and the query MUST include a complete copyable collection command.
  4. Collection rules loaded by mode: Collection channel rules and tool invocation rules are mode-specific details. After entering the corresponding mode, load the relevant rule files according to the "Collection Channel Rules" and "Collection Fallback Chain" sections of its WORKFLOW-GUIDE.
  5. Mode routing must not be skipped: Before entering any troubleshooting action, you MUST first complete "Diagnostic Mode Determination" (online/offline). The two modes operate on different objects (online operates on the current running system, offline operates on the mounted offline system disk), and the loaded rule files and fix methods are also different. Mixing rules will produce invalid or even dangerous operations.
  6. Fix requires confirmation: Any fix operation MUST present the complete plan and risk notes, and wait for the user's explicit confirmation before execution. Automatic execution of fix commands is prohibited. After presenting the plan, END the current turn — execution may start only after the user's explicit confirmation reply in a later turn; presenting the plan and executing the fix in the same turn is prohibited.
  7. Hide internal markers from users: When presenting progress to users, it is prohibited to expose internal file names/paths, Step numbers, Direct/Critical labels, Skill design concepts (problem domain, fixed prerequisite chain, dynamic planning, etc.) and tool invocation class implementation descriptions. Communication rules are in the "User Presentation Rules" section of each mode's WORKFLOW-GUIDE. When requesting user cooperation for operations, only present "what to do" (purpose, operation content, precautions), and do not explain internal decision sources such as "based on a certain file's Step determination, execution is needed"—users only care about what to do, not internal troubleshooting details.
  8. Collection missing tolerance: When some collection information cannot be obtained due to command execution failure or environment incompatibility, prioritize using the available information already collected to attempt to provide a diagnostic conclusion. Only when existing information is insufficient to support a conclusion should you disclose the supplementary collection items and corresponding commands to the user, and continue analysis after the user provides them.
  9. Speculative diagnosis disclosure: Unless a root cause is directly confirmed by explicit collection evidence (e.g., registry value mismatch, missing file, driver disabled, corrupted BCD entry), the diagnostic conclusion and fix plan are speculative — based on inference from available data rather than definitive proof. You MUST clearly label speculative conclusions as such and advise the user to verify by testing the fix in a non-production environment first. When presenting the conclusion, distinguish between "confirmed by evidence" (cite the specific data) and "speculative — recommended for testing". This transparency helps users make informed decisions about risk and avoids overconfidence in uncertain diagnoses. This principle is enforced through the Evidence Review step in each mode's WORKFLOW-GUIDE (online / offline), where judgments lacking direct evidence are downgraded to hypotheses pending verification with specific collection commands provided.
  10. Windows-only target: Every procedure in this skill (online and offline, collection and fix) is PowerShell-based Windows diagnosis. Before ANY troubleshooting action, the target MUST be verified as Windows — this gate applies to all scenarios, regardless of diagnostic mode (online/offline) or execution channel (direct/remote). A non-Windows target is out of scope: state the verified facts and the reason, then exit the diagnostic flow. See the "Windows-Only Gate" section below for the per-channel verification method.

Read the full file on GitHub · 182 lines

Files

What ships with it

60 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.

Changes

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.

  1. 12d ago First seen · 182 lines · 215 tokens per session scan A 816270030ea7

Subscribe to this mod's changes

alibabacloud-ecs-windows-os-troubleshooting is a skill published in the GitHub repository aliyun/alibabacloud-ecs-troubleshoot-skills (147 stars, last pushed 23d ago), licensed Apache-2.0. It adds 215 tokens to every session and 5,033 once invoked, about $0.0011 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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