A comprehensive observability skill that integrates Sentry into OpenClaw for error tracking, structured logging, and AI-driven root cause analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sentry-observability
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install sentry-observability using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Sentry skill brings professional-grade observability to your environment, allowing developers to monitor OpenClaw instance health through detailed telemetry. By integrating Sentry, you gain deep visibility into runtime errors, structured logs, and performance traces, ensuring that your AI agents operate reliably. This integration bridges the gap between raw execution and actionable insights, making it a cornerstone for managing production-grade Openclaw Skills.
Beyond simple error reporting, this skill leverages the Sentry CLI for deep investigation. It allows users to query issues, view stack traces, and even utilize AI-powered root cause analysis to streamline the debugging process. Whether you are running a single local agent or a distributed fleet, having this level of observability is critical for maintaining uptime and optimizing performance across all your Openclaw Skills.
To begin, install the Sentry CLI globally and authenticate your account to allow Openclaw Skills to communicate with the Sentry API:
npm install -g sentry
sentry auth login
Next, create your project and add the generated DSN to your openclaw.json configuration file:
{
"plugins": {
"entries": {
"sentry": {
"enabled": true,
"config": {
"dsn": "https://[email protected]/0",
"enableLogs": true
}
}
}
}
}
Finally, restart your gateway to start capturing telemetry.
The Sentry skill organizes observability data into projects, issues, and events for clear taxonomy. Data is structured as follows:
| Component | Description |
|---|---|
| Issues | Automatically grouped errors with unique short-IDs for quick reference. |
| Events | Individual instances of errors containing full stack traces and context. |
| Logs | Structured JSON logs including level, message, and timestamp. |
| Traces | Performance metadata depicting the lifecycle of agent executions. |
| Config | Plugin settings stored within the primary OpenClaw configuration file. |
Loading
A secure, append-only integration for capturing thoughts, todos, and links directly into your Reflect knowledge graph.

An autonomous DeFi analyst that scans the Sui mainnet for arbitrage, yield, and liquidity opportunities in real-time.

An automated DeFi management tool for earning sustainable USDC yield through the Moonwell Flagship vault on the Base network.

An autonomous project execution skill that processes structured plans to code, test, and commit changes without human intervention.

A credit line service enabling AI agents to access x402-enabled APIs and services without requiring upfront cryptocurrency.

thrd provides isolated, dedicated email inboxes for AI agents to manage communication safely without accessing personal accounts.








































