A specialized tool for fetching and analyzing Sentry error reports and stack traces directly within AI agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sentry-issues
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 sentry-issues 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 Sentry Issue Tracker?
The Sentry Issue Tracker is a robust integration designed to bridge the gap between real-time error monitoring and automated resolution. This addition to the Openclaw Skills library allows AI agents to interface directly with the Sentry API to retrieve detailed crash reports, monitor error frequency, and investigate exceptions without leaving the development environment.
By providing deep visibility into application stability, this skill enables developers to prioritize fixes based on user impact and severity. Whether you are triaging a production outage or reviewing daily error logs, this utility within Openclaw Skills ensures your agent has the context needed to diagnose issues accurately.
Sentry Issue Tracker Use Cases
- Investigating specific exception details including full stack traces for debugging.
- Monitoring new error trends that have emerged in the last 24 hours.
- Identifying high-impact bugs by sorting issues by the number of affected users.
- Filtering for unresolved critical errors within specific projects to streamline triage.
- Integrating error context into broader automated workflows using Openclaw Skills.
How Sentry Issue Tracker Works
- Authenticate with the Sentry API using a scoped auth token with project and event read permissions.
- Execute the python script provided in the Openclaw Skills package with organization and project identifiers.
- Apply specialized query filters such as status, level, or timeframe to narrow down the issue list.
- Retrieve comprehensive JSON data including error titles, source locations, and event counts.
- Deep-dive into specific issue IDs to extract stack traces and metadata for root cause analysis.
Sentry Issue Tracker Setup
To use this within your Openclaw Skills environment, ensure you have a Sentry API token with project:read and event:read scopes.
Set the required environment variable:
export SENTRY_AUTH_TOKEN="your-token-here"
Run the script to list unresolved issues:
python3 scripts/sentry_issues.py --org <org-slug> --project <project-slug>
Sentry Issue Tracker Data Schema & Taxonomy
The skill returns structured JSON output. Key data fields included in the Openclaw Skills response are:
| Field | Description |
|---|---|
| id | Unique Sentry issue identifier |
| title | The error message or exception title |
| culprit | The source code location where the error occurred |
| count | Total number of events for this issue |
| userCount | Total number of unique users affected |
| level | Severity level (e.g., error, warning, info) |
| status | Current state (unresolved, resolved, or ignored) |
When the details flag is enabled, the schema expands to include full stack traces and environment metadata.
Sentry Issue Tracker Advanced Features
- Support for complex filtering using Sentry query syntax (e.g., is:unresolved level:error).
- Customizable sorting logic by date, frequency, priority, or user reach.
- Detailed event context retrieval including browser, OS, and tag metadata.
- Integration-ready JSON output designed for multi-agent Openclaw Skills pipelines.
SKILL.md
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