alicloud-data-lake-dlf-test

Validate DataLake metadata discovery and read-only API calls.

396|34|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-data-lake-dlf-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alicloud-data-lake-dlf-test
Source: https://github.com/cinience/alicloud-skills/tree/main/tests/data-lake/alicloud-data-lake-dlf-test
Command: npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-data-lake-dlf-test

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a minimal smoke test for the DataLake skill, validating metadata discovery and a single read-only API call to ensure basic functionality.

Core Features & Use Cases

  • Metadata Discovery Validation: Ensures that the skill can correctly identify and retrieve metadata.
  • Read-Only API Test: Executes a basic, non-modifying API call to confirm connectivity and permissions.
  • Use Case: A developer can use this skill to quickly verify that their DataLake environment is accessible and configured correctly before performing more complex operations.

Quick Start

Run the list_openapi_meta_apis.py script and select a read-only API for a minimal request.

Frequently Asked Questions about alicloud-data-lake-dlf-test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test data lake metadata discovery and API connectivity?

You can test data lake metadata discovery by running a minimal smoke test script that validates metadata retrieval and executes a single read-only API call to confirm connectivity.

What is a smoke test for data lake API configuration?

A data lake API smoke test is a minimal validation check that ensures successful metadata retrieval and verifies that read-only APIs return either a success status or an explicit permission error.

Can I perform a read-only API test without modifying my data lake environment?

Yes, you can perform a read-only API test that executes a basic, non-modifying API call to confirm data lake connectivity and permissions without altering your environment.

Does the data lake smoke test check for API permission errors?

Yes, the data lake smoke test checks for API permission errors by ensuring that read-only APIs return either a success response or an explicit permission error during the metadata validation process.

Why should I run a minimal API test before complex data lake operations?

Running a minimal API test before complex data lake operations allows you to quickly verify that your environment is accessible and configured correctly, preventing unexpected metadata discovery failures.

What are the limitations of using a basic smoke test for data lake validation?

The limitation of a basic data lake smoke test is that it only performs a minimal read-only API call and metadata discovery, meaning it does not validate complex operations or write APIs.