A powerful integration for real-time application performance monitoring and automated data management via the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install inspector-integration
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 inspector-integration 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 Inspector?
The Inspector skill enables AI agents to interface directly with Inspector, a premier application performance monitoring (APM) tool designed for real-time error detection and bottleneck identification. By leveraging the Membrane ecosystem, this skill simplifies complex authentication and credential management, allowing developers and DevOps teams to focus on operational logic rather than security plumbing.
Built to enhance the capabilities of Openclaw Skills, this integration provides a bridge to professional-grade monitoring. It allows for the execution of predefined actions or raw API proxy requests, ensuring that your AI coding agent has full visibility into application health and the power to automate responses to performance issues.
Inspector Use Cases
- Automatically detecting and retrieving application error logs during a debugging session.
- Monitoring real-time performance bottlenecks to suggest infrastructure optimizations.
- Automating the management of findings, templates, and user records within the Inspector dashboard.
- Orchestrating multi-step workflows that trigger based on specific application performance triggers.
How Inspector Works
- Authentication is established using the Membrane CLI, which securely handles OAuth flows and token refreshing.
- The skill identifies the correct Inspector connector and establishes a unique connection ID for the workspace.
- The AI agent searches for specific functional actions (e.g., listing findings or updating cases) based on user intent.
- Actions are executed via the Membrane runtime, passing necessary JSON parameters to the Inspector API.
- For custom requirements, the agent uses the Membrane proxy to send direct HTTP requests with managed authentication headers.
Inspector Setup
First, install the Membrane CLI globally to enable the Openclaw Skills environment to communicate with the provider:
npm install -g @membranehq/cli
Log in to your tenant to authorize the environment:
membrane login --tenant
Search for and connect the Inspector element:
# Search for the connector ID
membrane search inspector --elementType=connector --json
# Create the connection
membrane connect --connectorId=CONNECTOR_ID --json
Inspector Data Schema & Taxonomy
The skill interacts with several core data objects within the Inspector ecosystem. Data is typically exchanged in JSON format.
| Object | Description |
|---|---|
| Case | Top-level container for related application issues. |
| Finding | Specific instances of errors or performance anomalies. |
| Template | Predefined structures for reporting and notifications. |
| User | Identity data for team members managing the APM environment. |
| Integration | Metadata regarding third-party service connections. |
Inspector Advanced Features
- Intent-based discovery: Use natural language intents to find the most efficient pre-built actions, reducing token consumption.
- Secure API Proxying: Send raw GET, POST, or PATCH requests to any Inspector endpoint while Membrane handles signature and header injection.
- Automated Credential Lifecycle: Zero-touch token management ensures that long-running automated workflows never fail due to expired sessions.
- Headless Support: Full compatibility with remote or CI/CD environments through CLI-based authentication completion.
SKILL.md
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