A powerful integration for engineering teams to manage service ownership and operational excellence through the OpsLevel platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opslevel
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 opslevel 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 OpsLevel Skill?
The OpsLevel skill provides a robust bridge between your AI agent and the OpsLevel service maturity platform. By leveraging this Openclaw Skills integration, developers and SRE teams can programmatically define, measure, and improve service health and operational standards without manual dashboard navigation.
This skill utilizes the Membrane framework to facilitate secure communication, ensuring that all interactions with OpsLevel data—including services, teams, and maturity reports—are handled with enterprise-grade security. It empowers Openclaw Skills to act as a virtual teammate that can query infrastructure health or update service metadata on the fly.
OpsLevel Skill Use Cases
- Automating the generation of Service Maturity Reports to track engineering progress.
- Querying service metadata and ownership information during incident response.
- Managing team structures and user permissions within the OpsLevel ecosystem.
- Filtering and auditing service health checks to ensure operational excellence.
- Integrating service discovery into automated DevOps workflows.
How OpsLevel Skill Works
- The AI agent authenticates with the Membrane CLI to establish a secure session for Openclaw Skills.
- A connection is established to the OpsLevel domain, managing OAuth or API key handshakes server-side.
- The agent searches for specific OpsLevel actions using natural language intent to find the most efficient API interaction.
- Actions are executed with JSON parameters to retrieve or modify data such as services, checks, or teams.
- For specialized needs, the agent can use proxy requests to hit specific OpsLevel API endpoints while Membrane handles the header injection and credential refresh.
OpsLevel Skill Setup
First, install the Membrane CLI to enable Openclaw Skills capabilities:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Finally, ensure the OpsLevel connection is active:
membrane connection ensure "https://www.opslevel.com/" --json
OpsLevel Skill Data Schema & Taxonomy
The skill organizes data around the core OpsLevel entities. Below is the primary metadata taxonomy used by Openclaw Skills:
| Entity | Description |
|---|---|
| Service | The primary unit of software; includes maturity levels and ownership. |
| Check | Automated requirements that services must meet to reach maturity levels. |
| Team | Groups of users responsible for specific services. |
| Filter | Logical groupings used to categorize services for reporting. |
| User | Individual contributors and stakeholders within the platform. |
OpsLevel Skill Advanced Features
- Natural Language Intent Search: Find the exact OpsLevel action needed without browsing documentation using
membrane action list --intent. - Transparent Credential Refresh: Openclaw Skills never lose access; Membrane handles token rotation automatically in the background.
- Direct API Proxying: Use
membrane requestto access any OpsLevel endpoint with automatic base URL and auth injection. - Long-polling Wait Support: Utilize the
--waitflag to synchronize complex connection states and setup workflows.
SKILL.md
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