alibabacloud-flink-workspace-opsUse when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.
Install via ClawdBot CLI:
clawdbot install sdk-team/alibabacloud-flink-workspace-opsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://aliyuncli.alicdn.com/install.sh | bashCalls external URL not in known-safe list
https://dummy.oss-cn-beijing.aliyuncs.com/test.jarAI Analysis
The skill references an external install script URL (aliyuncli.alicdn.com) and a dummy OSS test jar, but these appear to be standard Alibaba Cloud resources, not unauthorized data exfiltration endpoints. There are no hidden instructions overriding user intent, credential harvesting patterns, or obfuscation techniques; the skill's purpose is consistent with Flink Console operations using the stated Python script.
Audited May 10, 2026 · audit v1.0
Generated May 13, 2026
Developers create and validate SQL drafts in Flink Console workspaces to prototype real-time data processing logic before deploying to production. This includes iterative validation and debugging of SQL syntax and logic.
DevOps engineers orchestrate the deployment lifecycle of Flink jobs from validated SQL drafts to running deployments, integrating with CI/CD workflows. This enables rapid iteration and reliability in streaming applications.
Operations teams diagnose checkpoint failures and job anomalies using Flink Console's diagnostic tools, ensuring high availability and data accuracy in real-time streaming pipelines.
Platform administrators manage multiple Flink workspaces, including namespace, session cluster, member, and variable assignment, to support team isolation and collaborative development.
Offer fully managed Flink console workspaces as a premium service with automated deployment, monitoring, and diagnostics, charging per job or throughput.
Provide tools and services for real-time data analytics on cloud, bundling Flink workspace ops with consulting and support for streaming use cases like fraud detection or personalization.
Sell automation scripts and integration services for CI/CD of Flink jobs, reducing manual errors and time-to-deployment for enterprise customers.
💬 Integration Tip
Integrate with existing CI/CD pipelines by calling the Python script for draft validation and deployment, and use structured output for job status.
Scored May 13, 2026
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