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Agent Skill · 效率

alibabacloud-aes-sysom-os-diagnosis(阿里巴巴云 aes 系统操作系统诊断)

alibabacloud-aes-sysom-os-diagnosis 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

alibabacloud-aes-sysom-os-diagnosis 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 13,975。

总安装 3,535周安装 143GitHub Stars 公开资料未说明下载 1,110核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:alibabacloud-aes-sysom-os-diagnosis(阿里巴巴云 aes 系统操作系统诊断)
来源仓库:https://github.com/sdk-team/alibabacloud-aes-sysom-os-diagnosis
安装命令:
openclaw skills install alibabacloud-aes-sysom-os-diagnosis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install alibabacloud-aes-sysom-os-diagnosis

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

对阿里云 ECS 实例进行 SysOM 深度操作系统级诊断,以确定性能问题的根本原因(CPU 峰值、内存泄漏、IO 延迟等)

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install alibabacloud-aes-sysom-os-diagnosis;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

alibabacloud-aes-sysom-os-diagnosis 怎么安装?

在终端执行 openclaw skills install alibabacloud-aes-sysom-os-diagnosis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

alibabacloud-aes-sysom-os-diagnosis 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

alibabacloud-aes-sysom-os-diagnosis 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

alibabacloud-aes-sysom-os-diagnosis 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

alibabacloud-aes-sysom-os-diagnosis 用的人多吗?

公开数据是累计安装 3,535 次,近一周安装 143 次,下载 1,110 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

alibabacloud-aes-sysom-os-diagnosis 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
alibabacloud-aes-sysom-os-diagnosis

阿里巴巴云 aes 系统操作系统诊断 · 本页

3,535—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
alibabacloud-aes-sysom-os-diagnosis
description
|

alibabacloud-aes-sysom-os-diagnosis

Skill Name: alibabacloud-aes-sysom-os-diagnosis Goal: Perform SysOM deep OS-level diagnosis on Alibaba Cloud ECS instances, with optional instance enrollment and DingTalk alert configuration.

Credential Security

[CRITICAL] Credential Security Rules: - NEVER print, echo, or display AccessKey ID / AccessKey Secret values in conversation or command output (even partial masking of LTAI_ACCESS_KEY_ID is FORBIDDEN) - NEVER ask the user to input AK/SK directly in the conversation or command line - NEVER use aliyun configure set with literal credential values - ONLY use aliyun configure list to check credential status ``bash aliyun configure list --user-agent AlibabaCloud-Agent-Skills ` Check the output for a valid profile (AK, STS, or OAuth identity). **If no valid profile exists, STOP here.** 1. Obtain credentials from [Alibaba Cloud Console](https://ram.console.aliyun.com/manage/ak) 2. Configure credentials **outside of this session** (via aliyun configure in terminal or environment variables in shell profile) 3. Return and re-run after aliyun configure list --user-agent AlibabaCloud-Agent-Skills` shows a valid profile

RAM Policy

For the full list of RAM permissions required by this skill, see references/ram-policies.md.

[MUST] Permission Failure Handling: When any command or API call fails due to permission errors at any point during execution, follow this process: 1. Read references/ram-policies.md to get the full list of permissions required by this SKILL 2. Use ram-permission-diagnose skill to guide the user through requesting the necessary permissions 3. Pause and wait until the user confirms that the required permissions have been granted

Parameter Confirmation

IMPORTANT: Parameter Confirmation — Before executing any command or API call, ALL user-customizable parameters (e.g., RegionId, instance names, CIDR blocks, passwords, domain names, resource specifications, etc.) MUST be confirmed with the user. Do NOT assume or use default values without explicit user approval.
ParameterRequired/OptionalDescriptionDefault Value
regionRequiredRegion of the ECS instance (e.g., cn-hangzhou)None, must be provided by user
instance_idRequiredECS instance ID (e.g., i-bp1xxxxxxxx)None, must be provided by user
ocd_descriptionOptionalProblem description (English only, e.g., high_cpu)""
start_timeOptionalDiagnosis start timestamp (Unix seconds)0 (real-time)
end_timeOptionalDiagnosis end timestamp (Unix seconds)0
enable_diagnosisOptionalForce real-time diagnosis (highest priority)false
uidOptionalAccount ID owning the instanceNone
skip_support_checkOptionalSkip instance support check (speeds up workflow)false
cluster_idOptionalACK cluster ID (required for cluster enrollment)None

Core Workflow

The workflow has four phases with 14 steps. All aliyun CLI commands MUST include --user-agent AlibabaCloud-Agent-Skills.

Phase 1: Environment Setup (Steps 0–3)

Step 0 — Enable AI-Mode and Update Plugins

Before executing any CLI commands, enable AI-Mode, set User-Agent, and update plugins:

aliyun configure ai-mode enable
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-aes-sysom-os-diagnosis"
aliyun plugin update
⚠️ The above three commands must be executed before all CLI operations, and only need to be run once.

Step 1 — CLI Version Check

aliyun version --user-agent AlibabaCloud-Agent-Skills

Verify version >= 3.3.1. If not met, refer to references/cli-installation-guide.md for installation.

Step 2 — Enable Auto Plugin Installation

aliyun configure set --auto-plugin-install true --user-agent AlibabaCloud-Agent-Skills

Step 3 — Credential Verification

aliyun configure list --user-agent AlibabaCloud-Agent-Skills

If no valid credentials exist, STOP and guide the user to configure credentials outside the session.


Phase 2: Diagnosis Execution (Steps 4–9)

For detailed workflow, see references/diagnose-workflow.md.

Step 4 — Ambiguous Problem Clarification (Inversion Gate)

Must confirm region and instance_id. If not provided by the user, ask explicitly. Also extract optional ocd_description (must be translated to English), time range, etc.

⚠️ Time Inference Rule: When the user's description contains any temporal reference (e.g., "this morning", "yesterday afternoon", "around 3pm", "last night"), you MUST proactively ask for the specific time range and recommend historical diagnosis mode. Do NOT silently default to real-time diagnosis when the problem clearly occurred in the past.

Step 5 — Cloud Assistant Online Check

aliyun ecs describe-cloud-assistant-status --biz-region-id <region> --instance-id <instance_id> --user-agent AlibabaCloud-Agent-Skills

Check if CloudAssistantStatus is true in the response. If offline, terminate the pipeline.

Step 6 — SysOM Role Initialization

aliyun sysom initial-sysom --check-only false --source aes-skills --user-agent AlibabaCloud-Agent-Skills

Step 7 — Instance Support Check

aliyun sysom check-instance-support --instances <instance_id> --biz-region <region> --user-agent AlibabaCloud-Agent-Skills

Step 8 — Invoke Diagnosis and Poll Results

Diagnosis Mode Decision Rules
if enable_diagnosis == true:
    mode = real-time diagnosis    # enable_diagnosis has highest priority
elif start_time != 0:
    mode = historical diagnosis   # time range specified, retrospective analysis
else:
    mode = real-time diagnosis    # default
  • Real-time: start_time=0, end_time=0
  • Historical: start_time=<unix_ts>, end_time=<unix_ts>
  • Forced real-time: when enable_diagnosis=true, force start_time to 0 even if provided
Build params JSON

Use snake_case keys (consistent with SDK). Required base fields (ALL must be included):

{
  "instance": "<instance_id>",
  "region": "<region>",
  "start_time": 0,
  "end_time": 0,
  "type": "ocd",
  "ai_roadmap": true,
  "enable_sysom_link": false
}
⚠️ Anti-confusion Warning: "type": "ocd" is a REQUIRED field inside the params JSON — do NOT omit it! --service-name ocd (CLI argument) and "type": "ocd" (params JSON field) are two different levels of parameters, both are mandatory: - --service-name ocd → tells CLI which diagnosis service endpoint to call - "type": "ocd" → tells the diagnosis engine which diagnosis type to execute internally Do NOT omit "type": "ocd" from params just because --service-name already specifies ocd!

Conditional fields (add only when non-empty):

  • ocd_description: problem description in English (e.g., high_cpu)
  • uid: account ID owning the instance (integer)
Invoke Diagnosis
aliyun sysom invoke-diagnosis \
  --service-name ocd \
  --channel ecs \
  --params '{"instance":"<instance_id>","region":"<region>","start_time":<start_time>,"end_time":<end_time>,"type":"ocd","ai_roadmap":true,"enable_sysom_link":false,"ocd_description":"<ocd_description>"}' \
  --user-agent AlibabaCloud-Agent-Skills

Extract task_id from the response. If Sysom.TaskInProgress error is returned, extract the existing task_id from the error message and proceed to polling.

Poll Results (interval: 10s, max: 60 attempts)
aliyun sysom get-diagnosis-result --task-id <task_id> --user-agent AlibabaCloud-Agent-Skills

Step 9 — Result Parsing and Output

Parse the returned JSON and present summary.overall_status, summary.root_cause, summary.suggestions, issues[], and other key information to the user.


Phase 3: Enrollment Recommendation (Steps 10–12)

For detailed workflow, see references/manage-and-alert-workflow.md.

Step 10 — Enrollment Recommendation and Intent Collection (Inversion Double Gate)

This step contains two strictly separated gates that MUST be executed in order — merging, skipping, or simplifying is FORBIDDEN.

10A — Prominent Enrollment Recommendation (First Gate)

⚠️ Mandatory Rule: After presenting diagnosis results, you MUST immediately output the following recommendation content verbatim. Do NOT abbreviate, omit, or rephrase in your own words.

Replace <instance_id> with the actual instance ID, then output the following content word-for-word:

<verbatim_output>

## 🔔 Recommendation: Enroll Instance for 24/7 Automated Diagnosis The diagnosis just performed was a one-time manual operation. If you want SysOM to continuously protect this instance, we recommend instance enrollment. ### After enrollment, you will get: - 🔍 Automated Diagnosis: When the instance experiences performance issues like CPU spikes, memory leaks, or IO latency, SysOM will automatically trigger deep diagnosis without manual intervention - 📲 DingTalk Alerts: Diagnosis reports will be automatically pushed to DingTalk group bots, notifying the ops team immediately - 🛡️ Continuous Monitoring: 24/7 uninterrupted protection, shifting from "investigate after problems occur" to "automatically told the root cause when problems occur" Would you like to enroll instance <instance_id>?

</verbatim_output>

After outputting the above, STOP. Wait for user reply. Do NOT ask about enrollment method in 10A.

  • User declines → end the pipeline
  • User agrees → proceed to Step 10B

10B — Ask Enrollment Method (Second Gate)

Only after the user explicitly agrees in 10A, output the following (replace <instance_id> and <region> with actual values):

<verbatim_output>

### Please choose an enrollment method A. Enroll current instance only Only enroll the instance just diagnosed: <instance_id> (<region>) B. Enroll ACK cluster If this instance belongs to an ACK cluster, you can enroll all nodes in the cluster with one click. Newly added nodes will be automatically enrolled — no manual action needed. 👉 Please provide the ACK Cluster ID (e.g., c9d7f3fc3d42********c1100ffb19d) C. Enroll multiple specified instances Batch enroll multiple instances. 👉 Please provide the instance list in the format InstanceID:Region, separated by spaces Example: i-xxx:cn-beijing i-yyy:cn-hangzhou Please choose A / B / C, or tell me your requirements directly.

</verbatim_output>

After outputting the above, STOP. Wait for user reply.

Step 11 — Execute Enrollment

Fixed parameter values for --agent-id, --agent-version, --config-id in enrollment commands are listed in the "Fixed Parameters" table in references/related-commands.md.
# Instance mode
aliyun sysom install-agent \
  --instances instance=<instance_id> region=<region> \
  --install-type InstallAndUpgrade \
  --agent-id <agent-id> \
  --agent-version <agent-version> \
  --user-agent AlibabaCloud-Agent-Skills

# Cluster mode
aliyun sysom install-agent-for-cluster \
  --cluster-id <cluster_id> \
  --agent-id <agent-id> \
  --agent-version <agent-version> \
  --config-id <config-id> \
  --user-agent AlibabaCloud-Agent-Skills

Step 12 — Enrollment Status Confirmation

# Instance mode — poll instance status (interval: 10s, max: 60 attempts)
aliyun sysom list-instance-status --instance <instance_id> --biz-region <region> --user-agent AlibabaCloud-Agent-Skills

# Cluster mode — get full cluster list, then match target cluster by cluster_id
aliyun sysom list-clusters --user-agent AlibabaCloud-Agent-Skills
# From the returned cluster list, match the target cluster by cluster_id field and check its cluster_status
⚠️ Enrollment success criteria: status Running means enrollment is complete — stop polling immediately and proceed to the next step.

Phase 4: Alert Configuration (Steps 13–15)

For detailed workflow, see references/manage-and-alert-workflow.md.

Step 13 — Collect DingTalk Webhook and Create Alert Destination (Inversion Gate + SDK Call)

After successful enrollment, you MUST immediately collect the DingTalk bot Webhook URL from the user to create an alert destination. This feature is NOT supported by CLI — use SDK scripts under scripts/.

Ask the user:

<verbatim_output>

📲 Please provide the DingTalk group bot Webhook URL for receiving alert notifications. Format: https://oapi.dingtalk.com/robot/send?access_token=xxx 💡 How to get it: DingTalk Group Settings → Bot Management → Add Bot → Custom Bot → Optional keyword: alert → Copy Webhook URL

</verbatim_output>

After the user provides the Webhook, initialize the SDK environment and create the alert destination:

# Initialize SDK environment (first time only, can skip afterwards)
bash scripts/setup-sdk.sh

# Create alert destination (stdout outputs destination_id)
.sysom-sdk-venv/bin/python scripts/create-alert-destination.py '<user-provided-webhook-url>'
⚠️ You MUST use .sysom-sdk-venv/bin/python to execute scripts — using system python3 is FORBIDDEN (signature algorithm depends on specific SDK version).

On success, stdout outputs destination_id (a pure number). Record this value for use in Step 15.

Step 14 — Alert Item Selection (Inversion Gate)

aliyun sysom list-alert-items --user-agent AlibabaCloud-Agent-Skills

Display the alert items list (categorized by NODE/POD), supporting quick selection (all, node-all, pod-all) and numbered selection.

Step 15 — Create Alert Strategy (SDK Call)

After the user selects alert items, create the alert strategy directly with destinations set to the destination ID from Step 13.

⚠️ CLI does NOT support the destinations parameter — you MUST use the SDK script to create alert strategies.
.sysom-sdk-venv/bin/python scripts/create-alert-strategy.py \
  --name "aliyun-aes-skills-create-<YYYYMMDDHHmm>" \
  --items "<alert_item_1>,<alert_item_2>" \
  --clusters "<clusters_value>" \
  --destinations "<destination_id>"
  • Instance mode → --clusters value is default
  • Cluster mode → --clusters value is <cluster_name> (note: name, NOT ID)
  • --destinations → destination ID from Step 13 (multiple IDs comma-separated, e.g., 1,2)
  • --items → alert item names comma-separated
⚠️ You MUST use .sysom-sdk-venv/bin/python to execute scripts — using system python3 is FORBIDDEN.

Success Verification

For verification methods of each phase, see references/verification-method.md.


Cleanup

The diagnosis operations in this skill are read-only and do not modify instance state — no cleanup is needed.

To uninstall an enrolled Agent, use aliyun sysom uninstall-agent (see references/related-commands.md for parameters).

After all CLI operations are complete, you MUST disable AI-Mode:

aliyun configure ai-mode disable

Command Tables

For the full CLI command list, see references/related-commands.md.


Best Practices

  1. Check Cloud Assistant status before diagnosis: SysOM diagnosis depends on Cloud Assistant being online — always confirm in Step 5
  2. Use real-time diagnosis mode: Unless the user explicitly specifies a time range, default to real-time diagnosis
  3. Use English keywords for ocd_description: API only supports [a-zA-Z0-9_.~-] characters
  4. Use double gate for enrollment recommendation: Recommend first, then ask method — avoid information overload
  5. Cluster enrollment batch limit: When exceeding 50 instances, the first batch installs only 50; the rest are installed automatically
  6. clusters parameter for alert strategy: Use default for instance mode, use cluster name (not ID) for cluster mode
  7. Alert destinations via SDK: Alert destination APIs are not supported by CLI — must use Python SDK (alibabacloud_sysom20231230)
  8. destinations parameter for alert strategy: After creating an alert destination, include destinations (destination ID list) in create-alert-strategy — alerts will be pushed to DingTalk via SysOM
  9. Credential security: Never print or echo AK/SK values in conversation
  10. All CLI commands must include --user-agent AlibabaCloud-Agent-Skills
  11. Remediation suggestions may involve high-risk operations: Follow the Human-in-the-loop protocol and wait for user confirmation

Unsupported Scenarios

  • Non-Linux instances (Windows instances are not supported)
  • Instances with incompatible kernel versions (checked via check-instance-support)
  • Pure configuration issues (e.g., security group rules, VPC routing — no OS-level diagnosis needed)

Error Handling

Error ScenarioCLI ResponseAgent Action
Instance not supported by SysOMcheck-instance-support returns unsupportedInform user that kernel-level diagnosis is not supported, fall back to standard diagnosis
Role authorization failureinitial-sysom returns errorPrompt user to check SysOM service activation status
Diagnosis invocation failureinvoke-diagnosis returns errorCheck credential and permission configuration
Diagnosis timeoutget-diagnosis-result polling timeoutSuggest user retry later
Insufficient permissionsAPI returns ForbiddenRead references/ram-policies.md and guide user to request permissions
SDK not installedModuleNotFoundError: No module named 'alibabacloud_sysom20231230'Prompt user to run pip install alibabacloud_sysom20231230
Alert destination creation failureSDK returns errorCheck Webhook URL format and credential permissions

Reference Links

ReferenceDescription
references/cli-installation-guide.mdAliyun CLI installation and configuration guide
references/ram-policies.mdRAM permission policy list
references/related-commands.mdFull CLI command list
references/verification-method.mdSuccess verification methods for each phase
references/diagnose-workflow.mdDetailed diagnosis workflow (Steps 4–9)
references/manage-and-alert-workflow.mdDetailed enrollment and alert workflow (Steps 10–15)
references/acceptance-criteria.mdTest acceptance criteria

平台分布

OpenClaw

90.64%
按下载量换算1,006

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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