Huawei Cloud Resource Query

⚠️ Execution Method (Must Read): This skill executes queries via local Python scripts. Using hcloud, openstack, or other CLI tools or direct API calls is prohibited.

• Query scripts are located under the skill directory

  scripts/<service_category>/

  (e.g.,

  scripts/as/list_scaling_groups.py

  )
• All scripts and environment check scripts are inside the skill package. You must use

  skill action=exec

  to execute them; do not run them directly in a shell
• For specific script paths and parameters, see

  references/<service>/guide.md

• Do not attempt hcloud, openstack, curl IAM, or other CLI/API methods. This skill does not depend on these tools
• All paths are relative to the skill directory, which is the directory where this SKILL.md resides

Overview

1. Query available cloud resource specifications in a given region
2. Query available images for a certain operating system
3. Query cloud disk types and existing cloud disk information
4. Query existing resources and their key attributes
5. Query resources not created through Terraform or other IaC tools
6. Prepare real parameters for automation configuration, resource verification, or environment inventory
7. Obtain reusable information such as resource IDs, names, specifications, images, networks, and disks

1. Creating resources
2. Modifying resources
3. Deleting resources
4. Guessing or fabricating information that has not been queried

Capability Scope

1. Query resource lists
2. Query individual resource details
3. Query available specifications, images, disk types, and other selection information
4. Query key identifiers and dependency relationships of existing resources

Usage Principles

1. This skill only performs queries; it does not perform any write operations
2. Prioritize using explicitly specified region, project, AZ, resource name, resource ID, etc. provided by the user
3. Query results must be based on actual API responses; do not infer based on experience
4. Returned results should prioritize retaining key fields for subsequent reuse
5. When the result set is large, narrow the scope first using conditions such as region, name, id, status, tag, etc.
6. If there is no corresponding script or guide for the current resource type, clearly state that it is not supported; do not return unreliable results
7. If the user has not provided necessary scope information and there are no default values in the environment, confirm the missing information before executing the query
8. Execute directly according to guide.md; do not view script contents in the scripts directory
9. Cache output when it is large
10. You must execute

    -h

    before each script execution to view usage
11. Do not guess script names; execute according to the script names in guide.md. If a script name is not in guide.md, it means it is not supported

Prerequisites

• Linux / macOS:

  skill action=exec: bash skill://scripts/check_env.sh

• Windows:

  skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/check_env.ps1

Windows Note: Do not use

&&

to chain commands (PowerShell 5.x does not support it). Use semicolons if you need to change directories first.

Execution Flow

Step 1: Environment Preparation

• Linux / macOS:

  skill action=exec: bash skill://scripts/check_env.sh

• Windows:

  skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/check_env.ps1

Step 2: Identify and Execute Query Scripts

1. Based on the user's query intent, read

   references/<service>/guide.md

   to determine the script path and parameters to execute
2. First execute

   -h

   to view script usage:
   • Linux / macOS:

     skill action=exec: skill://.venv/bin/python3 skill://scripts/<service>/<script>.py -h

   • Windows:

     skill action=exec: skill://.venv/Scripts/python3.exe skill://scripts/<service>/<script>.py -h

3. Assemble parameters based on user requirements and execute the script:
   • Linux / macOS:

     skill action=exec: skill://.venv/bin/python3 skill://scripts/<service>/<script>.py <parameters>

   • Windows:

     skill action=exec: skill://.venv/Scripts/python3.exe skill://scripts/<service>/<script>.py <parameters>

4. Format the results and return them to the user

• All scripts and environment check scripts are inside the skill package. You must use

  skill action=exec

  to execute them; do not run them directly in a shell
• The venv is automatically created by the check_env script. On Linux/macOS, Python is located at

  .venv/bin/python3

  ; on Windows, at

  .venv/Scripts/python3.exe

• Do not use

  python3

  directly to execute scripts
• Do not read script source code in the scripts directory; just follow the instructions in guide.md
• Cache results when output is large
• The

  --project_id

  parameter is optional; when not provided, it is automatically obtained via the IAM API based on region

Directory Structure

1. scripts/<resource_category>/ contains Python query scripts for the corresponding resources. You do not need to read script contents; just execute scripts according to the usage instructions in guide.md
2. references/<resource_category>/guide.md contains usage guides for the corresponding resources
3. Each script is responsible for only one clear, single query action
4. Each resource category maintains at least one guide.md to describe script capabilities, parameters, and usage

Parameter Confirmation

references/<service>/guide.md

Output Format

• total

  : Total number of matched resources

• items

  : Resource list, where each resource contains key fields such as id, name, status, etc.
• Specific fields vary by resource type; see individual guide.md files for details

Verification Method

1. Run the environment check script to confirm dependencies and credentials are available
2. Use the

   -h

   parameter to view script usage and confirm correct parameters
3. Execute queries on known resources and compare with console data to verify result accuracy
4. Check whether the returned

   total

   count is reasonable

Best Practices

1. Narrow the query scope first (specify region, availability zone, etc.) to avoid returning too much data
2. Use

   --help

   to view the complete list of supported parameters for a script
3. Cache large query results locally to avoid repeated requests
4. When querying multiple resources, follow dependency order (e.g., query VPC first, then subnets)
5. When script execution fails, check environment variables and network connectivity first

Reference Documentation

• Huawei Cloud Python SDK Official Documentation
• Huawei Cloud API Explorer
• Query script usage guides for each service:

  references/<service>/guide.md

Notes

1. This skill only provides read-only query capabilities; it does not perform any write operations
2. Do not output the values of environment variables such as HW_ACCESS_KEY, HW_SECRET_KEY, etc.
3. All scripts must be executed via

   skill action=exec

   ; do not run them directly in a shell
4. Do not guess script names; strictly execute according to the names in guide.md
5. You must run the environment check script before querying
6. When using temporary AK/SK, you must set HW_SECURITY_TOKEN