Multi-Cloud Resource Lister for Openclaw

A unified CLI skill that discovers and lists resources across AWS, Azure, GCP, and Aliyun in one fast, exportable view.

kingaiwork
v1.0.0
Jul 9, 2026
0
262
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install multi-cloud-resource-lister

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install multi-cloud-resource-lister using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Multi-Cloud Resource Lister?

Multi-Cloud Resource Lister is an Openclaw Skills workflow for inventorying cloud infrastructure across AWS, Azure, GCP, and Aliyun without switching consoles. It normalizes resource discovery into one command-driven output so teams can audit, compare, and report on multi-cloud assets quickly.

It is built for migration audits, cost reviews, and compliance snapshots, with smart region parallel scanning, automatic credential chain detection and fallback, and exports to JSON, CSV, or a readable table. For operators who need repeatable multi-cloud operations, Openclaw Skills makes resource discovery faster, more consistent, and easier to automate.

Multi-Cloud Resource Lister Use Cases

  • Cloud migration audits that need a complete VM or instance inventory before moving workloads.
  • Monthly cost optimization reviews to identify orphaned disks, idle IPs, and unused infrastructure.
  • Compliance snapshots for gathering network security groups and other control-plane assets across clouds.
  • Cross-cloud comparison when teams need a single report instead of separate AWS, Azure, GCP, and Aliyun exports.
  • Repeatable ops workflows in Openclaw Skills where filtered resource inventories must be generated on demand.
  • Pro-level dependency analysis for understanding relationships between resources in complex multi-cloud environments.

How Multi-Cloud Resource Lister Works

  1. Accepts your scope via CLI flags such as providers, regions, resource types, and output format.
  2. Detects available cloud credentials using the standard credential chain and falls back automatically when possible.
  3. Scans each selected provider, using smart region parallelism to speed up discovery across large footprints.
  4. Normalizes the discovered assets into a unified result set so different clouds can be compared in one view.
  5. Applies optional filters and, in Pro, saved profiles or cross-cloud dependency mapping for deeper analysis.
  6. Exports the final inventory as JSON, CSV, or a human-readable table for reports, scripts, or audits.

Multi-Cloud Resource Lister Setup

  1. Ensure the required runtime tools are available: bash and curl.
  2. Provide credentials through each cloud's standard authentication path so the Openclaw Skills workflow can auto-detect them.
  3. Authenticate the providers you plan to scan using their native CLI tools, environment variables, or credential files.
  4. Run the lister with provider and resource-type filters.
bash --version
curl --version
multi-cloud-resource-lister --providers aws gcp --resource-type ec2,compute
  1. Add an export format when you need machine-readable output or reporting.
multi-cloud-resource-lister --providers aws azure gcp aliyun --output json > inventory.json
multi-cloud-resource-lister --providers azure gcp --output csv > inventory.csv
  1. For repeatable audits, keep the same provider and resource filters in your scripts or saved Pro profiles.

  2. If your environment already ships with the Openclaw skill, no separate package installation is required from the SKILL metadata.

Multi-Cloud Resource Lister Data Schema & Taxonomy

Layer Purpose Notes
Query scope Input filters Providers, resource type filters, regions, and output format
Provider namespace Cloud source identifier aws, azure, gcp, aliyun
Resource record Normalized inventory item Provider, native resource type, region, name, ID, status, and provider-native metadata when available
Output formats Delivery layer Table, JSON, CSV
Pro metadata Advanced enrichment Saved filter profiles, dependency mapping, and batch-oriented workflows

Taxonomy

  • provider: the cloud vendor being scanned.
  • resource_type: the provider-native type token used for filtering, such as compute or ec2.
  • region: the geographical scope used for parallel scanning.
  • resource_identity: stable identifiers such as name and ID.
  • relationship: dependency links between resources, available in Pro.
  • profile: saved filters for repeatable Openclaw Skills audits, available in Pro.

Multi-Cloud Resource Lister Advanced Features

  • Smart region parallel scanning to reduce inventory time across large estates.
  • Automatic credential chain detection and fallback to minimize manual setup.
  • Unified CLI output that keeps multi-cloud results comparable across providers.
  • JSON, CSV, and table export for scripting, BI tools, or human review.
  • Pro cross-cloud dependency mapping for tracing related resources in complex architectures.
  • Pro saved filter profiles for repeatable audits and consistent operational playbooks.
  • Batch workflows and priority support for teams managing many cloud accounts.

SKILL.md


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