A powerful integration for AI agents to monitor, analyze, and optimize cloud infrastructure spending through the M3ter platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install m3ter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install m3ter 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 M3ter Skill for AI Agents?
The M3ter skill for Openclaw Skills enables AI agents to seamlessly interact with cloud cost management data. By leveraging the Membrane framework, this skill automates the complex plumbing of authentication and credential refreshing, allowing developers to focus on high-value logic like cost analysis and workflow automation.
Built for engineering teams, this skill provides a robust interface to M3ter's core features including meters, events, alerts, and reporting. It ensures that your AI coding agent can programmatically access real-time cloud spending metrics to provide actionable insights or trigger cost-saving protocols.
M3ter Skill for AI Agents Use Cases
- Automating cloud cost reporting and dashboard updates.
- Triggering alerts based on specific cloud infrastructure spending thresholds.
- Monitoring usage meters and events to identify spending anomalies.
- Integrating cloud cost data into internal DevOps and FinOps workflows.
- Managing user roles and notification channels for cost management teams.
How M3ter Skill for AI Agents Works
- The AI agent initializes the environment by installing and logging into the Membrane CLI.
- A secure connection to the M3ter domain is established using Openclaw Skills protocols.
- The agent polls the connection status to ensure a READY state, handling any required user authentication via OAuth or API keys.
- Available actions are discovered using natural language intent searches to find the most efficient pre-built integration steps.
- The agent executes specific M3ter actions or sends proxy requests to the API with automated header injection and credential management.
M3ter Skill for AI Agents Setup
First, install the Membrane CLI to enable Openclaw Skills integration:
npm install -g @membranehq/cli@latest
Authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Connect to the M3ter platform:
membrane connection ensure "https://www.m3ter.com/" --json
M3ter Skill for AI Agents Data Schema & Taxonomy
The M3ter skill organizes data around the following core entities, accessible via the Openclaw Skills framework:
| Entity | Description |
|---|---|
| Account / Subscription | High-level organizational and billing data. |
| Meter | Usage tracking definitions and real-time metrics. |
| Event | Specific occurrences or triggers within the cost environment. |
| Alert | Configuration for cost-related notifications. |
| Dashboard / Report | Visual and tabular representations of infrastructure spend. |
| User / Role | Identity and access management within the M3ter tenant. |
M3ter Skill for AI Agents Advanced Features
- Smart Discovery: Use natural language intent to find specific M3ter actions without manual documentation lookup.
- Transparent Proxy: Send raw requests to the M3ter API while Membrane handles automatic authentication and credential refreshes.
- Multi-Agent Support: Adjust tooling adjustments based on the agent type (e.g., Claude, Openclaw, Windsurf).
- Long-Polling: Use the --wait flag for asynchronous connection building and automated state management.
SKILL.md
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