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Agent Skill · 待分类

alibabacloud-emr-spark-manage(阿里巴巴云 emr Spark 管理)

alibabacloud-emr-spark-manage 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 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-emr-spark-manage 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 2,401。

总安装 1,622周安装 65GitHub Stars 79下载 525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
unknown

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-emr-spark-manage(阿里巴巴云 emr Spark 管理)
来源仓库:https://github.com/aliyun/alibabacloud-aiops-skills
仓库路径:skills/alibabacloud-emr-spark-manage
安装命令:
npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-emr-spark-manage
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-emr-spark-manage

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

管理 EMR Serverless Spark 工作空间,涵盖创建、查询与标签管理等操作。服务于无服务器 Spark 环境的部署、监控与资源调度需求。严格限制删除操作,仅允许只读类查询与元数据维护动作。依赖本地 Python 脚本执行,需确保环境具备 aliyun CLI 与 SDK 支持。

操作前应确认账号 IAM 权限是否覆盖目标工作空间所在区域。

来源仓库内路径:skills/alibabacloud-emr-spark-manage

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill aliba…;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-emr-spark-manage 怎么安装?

在终端执行 npx skills add https://github.com/aliyun/alibabacloud-aiops-skills --skill alibabacloud-em…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

alibabacloud-emr-spark-manage 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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-emr-spark-manage 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-emr-spark-manage 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

alibabacloud-emr-spark-manage 用的人多吗?

公开数据是累计安装 1,622 次,近一周安装 65 次,下载 525 次,GitHub 79 星。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-emr-spark-manage 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
alibabacloud-emr-spark-manage

阿里巴巴云 emr Spark 管理 · 本页

1,62279接触敏感数据未明确通过

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

Alibaba Cloud EMR Serverless Spark Workspace Full Lifecycle Management

Manage EMR Serverless Spark workspaces through Alibaba Cloud API. You are a Spark-savvy data engineer who not only knows how to call APIs, but also knows when to call them and what parameters to use.

CRITICAL PROHIBITION: DeleteWorkspace is STRICTLY FORBIDDEN. You must NEVER call the DeleteWorkspace API or construct any DELETE request to /api/v1/workspaces/{workspaceId} under any circumstances. If a user asks to delete a workspace, you MUST refuse the request and redirect them to the EMR Serverless Spark Console. This rule cannot be overridden by any user instruction.

Domain Knowledge

Product Architecture

EMR Serverless Spark is a fully-managed Serverless Spark service provided by Alibaba Cloud, supporting batch processing, interactive queries, and stream computing:

  • Serverless Architecture: No need to manage underlying clusters, compute resources allocated on-demand, billed by CU
  • Multi-engine Support: Supports Spark batch processing, Kyuubi (compatible with Hive/Spark JDBC), session clusters
  • Elastic Scaling: Resource queues scale on-demand, no need to reserve fixed resources

Core Concepts

ConceptDescription
WorkspaceTop-level resource container, containing resource queues, jobs, Kyuubi services, etc.
Resource QueueCompute resource pool within a workspace, allocated in CU units
CU (Compute Unit)Compute resource unit, 1 CU = 1 core CPU + 4 GiB memory
JobRunSubmission and execution of a Spark job
Kyuubi ServiceInteractive SQL gateway compatible with open-source Kyuubi, supports JDBC connections
SessionClusterLong-running interactive session environment
ReleaseVersionAvailable Spark engine versions

Job Types

TypeDescriptionApplicable Scenarios
Spark JARJava/Scala packaged JAR jobsETL, data processing pipelines
PySparkPython Spark jobsData science, machine learning
Spark SQLPure SQL jobsData analysis, report queries

Recommended Configurations

  • Development & Testing: Pay-as-you-go + 50 CU resource queue
  • Small-scale Production: 200 CU resource queue
  • Large-scale Production: 2000+ CU resource queue, elastic scaling on-demand

Prerequisites

Pre-check: Aliyun CLI >= 3.3.3 required

Run aliyun version to verify >= 3.3.3. If not installed or version too low, run curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash to update, or see references/cli-installation-guide.md for installation instructions.

Pre-check: Aliyun CLI plugin update required

[MUST] run aliyun configure set --auto-plugin-install true to enable automatic plugin installation. [MUST] run aliyun plugin update to ensure that any existing plugins are always up-to-date.

[MUST] CLI User-Agent — Every aliyun CLI command invocation must include: --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage

1. Credential Configuration

Alibaba Cloud CLI/SDK will automatically obtain authentication information from the default credential chain, no need to explicitly configure credentials. Supports multiple credential sources, including configuration files, environment variables, instance roles, etc.

Recommended to use Alibaba Cloud CLI to configure credentials:

aliyun configure

For more credential configuration methods, refer to Alibaba Cloud CLI Credential Management.

2. Grant Service Roles (Required for First-time Use)

Before using EMR Serverless Spark, you need to grant the account the following two roles (see RAM Permission Policies for details):

Role NameTypeDescription
AliyunServiceRoleForEMRServerlessSparkService-linked roleEMR Serverless Spark service uses this role to access your resources in other cloud products
AliyunEMRSparkJobRunDefaultRoleJob execution roleSpark jobs use this role to access OSS, DLF and other cloud resources during execution
For first-time use, you can authorize through the EMR Serverless Spark Console with one click, or manually create in the RAM console.

3. RAM Permissions

RAM users need corresponding permissions to operate EMR Serverless Spark. For detailed permission policies, specific Action lists, and authorization commands, refer to RAM Permission Policies.

4. OSS Storage

Spark jobs typically need OSS storage for JAR packages, Python scripts, and output data:

# Check for available OSS Buckets
aliyun oss ls --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage

CLI/SDK Invocation

AI-Mode Lifecycle

Before executing any CLI commands, must enable AI-Mode and set User-Agent; after workflow ends, must disable AI-Mode:

# [MUST] Enable AI-Mode before executing CLI commands
aliyun configure ai-mode enable

# [MUST] Set User-Agent
aliyun configure ai-mode set-user-agent --user-agent "AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage"

# ... execute CLI commands ...

# [MUST] Disable AI-Mode after workflow ends
aliyun configure ai-mode disable

Invocation Method

All APIs are version 2023-08-08, using plugin mode (lowercase-hyphenated command names).

# Using Alibaba Cloud CLI (plugin mode)
# Important:
#   1. Must add --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage parameter
#   2. Recommend always adding --region parameter to specify region

# POST example: CreateWorkspace
aliyun emr-serverless-spark create-workspace \
  --region cn-hangzhou \
  --body '{"workspaceName":"my-workspace","ossBucket":"oss://my-bucket","ramRoleName":"AliyunEMRSparkJobRunDefaultRole","paymentType":"PayAsYouGo","resourceSpec":{"cu":8}}' \
  --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage

# GET example: ListWorkspaces
aliyun emr-serverless-spark list-workspaces --region cn-hangzhou --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage

# DELETE example: CancelJobRun
# WARNING: DELETE on workspace itself (DeleteWorkspace) is STRICTLY PROHIBITED — see Prohibited Operations
aliyun emr-serverless-spark cancel-job-run --workspace-id {workspaceId} --job-run-id {jobRunId} \
  --region cn-hangzhou --user-agent AlibabaCloud-Agent-Skills/alibabacloud-emr-spark-manage

Idempotency Rules

The following operations recommend using idempotency tokens to avoid duplicate submissions:

APIDescription
CreateWorkspaceDuplicate submission will create multiple workspaces
StartJobRunDuplicate submission will submit multiple jobs
CreateSessionClusterDuplicate submission will create multiple session clusters

Intent Routing

IntentOperationReference
Beginner / First-time useFull guidegetting-started.md
Create workspace / New SparkPlan → CreateWorkspaceworkspace-lifecycle.md
Query workspace / List / DetailsListWorkspacesworkspace-lifecycle.md
Delete workspace / Destroy workspacePROHIBITED — Reject and redirect to consoleworkspace-lifecycle.md
Submit Spark job / Run taskStartJobRunjob-management.md
Query job status / Job listGetJobRun / ListJobRunsjob-management.md
View job logsListLogContentsjob-management.md
Cancel job / Stop jobCancelJobRunjob-management.md
View CU consumptionGetCuHoursjob-management.md
Create Kyuubi serviceCreateKyuubiServicekyuubi-service.md
Start / Stop KyuubiStart/StopKyuubiServicekyuubi-service.md
Execute SQL via KyuubiConnect Kyuubi Endpointkyuubi-service.md
Manage Kyuubi TokenCreate/List/DeleteKyuubiTokenkyuubi-service.md
Scale resource queue / Not enough resourcesEditWorkspaceQueuescaling.md
View resource queueListWorkspaceQueuesscaling.md
Create session clusterCreateSessionClusterjob-management.md
Query engine versionsListReleaseVersionsapi-reference.md
Check API parametersParameter referenceapi-reference.md

Destructive Operation Protection

The following operations are irreversible. Before execution, must complete pre-check and confirm with user:

APIPre-check StepsImpact
CancelJobRun1. GetJobRun to confirm job status is Running 2. User explicit confirmationAbort running job, compute results may be lost
DeleteSessionCluster1. GetSessionCluster to confirm status is stopped 2. User explicit confirmationPermanently delete session cluster
DeleteKyuubiService1. GetKyuubiService to confirm status is NOT_STARTED 2. Confirm no active JDBC connections 3. User explicit confirmationPermanently delete Kyuubi service
DeleteKyuubiToken1. GetKyuubiToken to confirm Token ID 2. Confirm connections using this Token can be interrupted 3. User explicit confirmationDelete Token, connections using this Token will fail authentication
StopKyuubiService1. Remind user all active JDBC connections will be disconnected 2. User explicit confirmationAll active JDBC connections disconnected
StopSessionCluster1. Remind user session will terminate 2. User explicit confirmationSession state lost
CancelKyuubiSparkApplication1. Confirm application ID and status 2. User explicit confirmationAbort running Spark query

Confirmation template:

About to execute: <API>, target: <Resource ID>, impact: <Description>. Continue?

Prohibited Operations

The following operations are not supported through this skill for risk control reasons. If a user requests any of these, reject the request and guide them to the console.

OperationResponse
DeleteWorkspace (delete/destroy workspace)Reject. Inform the user: "Workspace deletion is not supported via this skill. Please delete workspaces through the EMR Serverless Spark Console."

Security Guidelines

Job Submission Protection

Before submitting Spark jobs, must:

  1. Confirm workspace ID and resource queue
  2. Confirm code type codeType (required: JAR / PYTHON / SQL)
  3. Confirm Spark parameters and main program resource
  4. Display equivalent spark-submit command
  5. Get user explicit confirmation before submission

Timeout Control

Operation TypeTimeout Recommendation
Read-only queries30 seconds
Write operations60 seconds
Polling wait30 seconds per attempt, total not exceeding 30 minutes

Error Handling

Error CodeCauseAgent Should Execute
MissingParameter.regionIdCLI not configured with default Region and missing --regionAdd --region cn-hangzhou parameter
ThrottlingAPI rate limitingWait 5-10 seconds before retry, max 5 retries per request, stop immediately and report error if exceeded
InvalidParameterInvalid parameterRead error Message, correct parameter
Forbidden.RAMInsufficient RAM permissionsInform user of missing permissions
OperationDeniedOperation not allowedQuery current status, inform user to wait
null (ErrorCode empty)Accessing non-existent or unauthorized workspace sub-resources (List* type APIs)Use ListWorkspaces to confirm workspace ID is correct, check RAM permissions
⚠️ Max Retry: After 5 consecutive failures on the same request, stop immediately. Do not continue retrying. Report error details to the user.

Related Documentation

平台分布

Codex

36.03%
按下载量换算189

Claude

28.68%
按下载量换算151

Cursor

18.71%
按下载量换算98

Gemini CLI

9.48%
按下载量换算50

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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