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Aliyun Dlf Manage

该 Skill 面向阿里云 Data Lake Formation,提供凭据优先级、API 发现、资源清单、配置变更与状态查询的工作流,并附带 API 元数据发现脚本和输出验证步骤。实际业务 API 调用需结合 SDK 或 OpenAPI Explorer 完成。

cinience
cinience
热度 33.97
最近更新 2026-05-11 17:39:16
分类:自动化依赖:代码执行 / 读写文件 / 第三方 API应用场景:API 集成 / 工作流 / DevOps

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add aliyun-dlf-manage
Metadata
name
aliyun-dlf-manage
description
Use when managing Alibaba Cloud Data Lake Formation (DataLake) via OpenAPI/SDK, including the user asks for DataLake catalog resource operations, configuration updates, status queries, or troubleshooting DataLake API workflows.
version
1.0.0

Category: service

Data Lake Formation

Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Data Lake Formation.

Workflow

  1. Confirm region, resource identifiers, and desired action.
  2. Discover API list and required parameters (see references).
  3. Call API with SDK or OpenAPI Explorer.
  4. Verify results with describe/list APIs.

AccessKey priority (must follow)

  1. Environment variables: ALICLOUD_ACCESS_KEY_ID / ALICLOUD_ACCESS_KEY_SECRET / ALICLOUD_REGION_ID Region policy: ALICLOUD_REGION_ID is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user.
  2. Shared config file: ~/.alibabacloud/credentials

API discovery

  • Product code: DataLake
  • Default API version: 2020-07-10
  • Use OpenAPI metadata endpoints to list APIs and get schemas (see references).

High-frequency operation patterns

  1. Inventory/list: prefer List* / Describe* APIs to get current resources.
  2. Change/configure: prefer Create* / Update* / Modify* / Set* APIs for mutations.
  3. Status/troubleshoot: prefer Get* / Query* / Describe*Status APIs for diagnosis.

Minimal executable quickstart

Use metadata-first discovery before calling business APIs:

python scripts/list_openapi_meta_apis.py

Optional overrides:

python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version>

The script writes API inventory artifacts under the skill output directory.

Output policy

If you need to save responses or generated artifacts, write them under: output/aliyun-dlf-manage/

Validation

mkdir -p output/aliyun-dlf-manage
for f in skills/data-lake/aliyun-dlf-manage/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-dlf-manage/validate.txt

Pass criteria: command exits 0 and output/aliyun-dlf-manage/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-dlf-manage/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.
  • Prefer environment variables: ALICLOUD_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY_SECRET, optional ALICLOUD_REGION_ID.
  • If region is unclear, ask the user before running mutating operations.

References

  • Sources: references/sources.md