A Python-powered skill for Ethereum node operators to monitor validator health and BeaconScore performance with low-anxiety daily checks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install beaconchain
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 beaconchain 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 Beaconchain Validator Monitor?
The Beaconchain skill is designed for Ethereum validator operators who seek a streamlined, low-noise monitoring solution. Instead of overwhelming users with constant data points, it focuses on a concise, once-a-day health check via the beaconcha.in V2 API. By prioritizing the BeaconScore as the primary metric for triage, this tool allows operators to maintain high performance without the fatigue of over-monitoring.
By leveraging this integration within Openclaw Skills, developers and stakers can automate the retrieval of performance aggregates. The skill is built to be intentionally terse when validators are healthy, only surfacing detailed reports when missed duties, penalties, or performance drops are detected, making it an ideal choice for sustainable validator management.
Beaconchain Validator Monitor Use Cases
- Automating daily Ethereum validator health status reports.
- Monitoring BeaconScore performance metrics across various time windows.
- Reducing operational anxiety for solo stakers and node operators via silent success states.
- Identifying missed duties or penalties over 24-hour or 7-day windows.
- Integrating validator health checks into custom automation workflows.
How Beaconchain Validator Monitor Works
- The skill authenticates with the beaconcha.in API using the provided API key and Dashboard ID environment variables.
- It executes a Python script that calls the V2 performance-aggregate endpoint to fetch recent validator activity.
- The tool parses the returned data, specifically reading the total BeaconScore and performance signals.
- Based on a configurable threshold (defaulting to 24h window), it determines the health status.
- The system returns an exit code: 0 for healthy operations, 2 for performance warnings, or 1 for system/authentication errors.
Beaconchain Validator Monitor Setup
To start using this skill within Openclaw Skills, follow these installation steps:
- Ensure
python3is installed in your environment. - Set your credentials as environment variables:
export BEACONCHAIN_API_KEY="your_api_key_here"
export BEACONCHAIN_DASHBOARD_ID="your_dashboard_id_here"
- Run a basic health check:
python3 skills/beaconchain/scripts/check_dashboard.py
Beaconchain Validator Monitor Data Schema & Taxonomy
The skill interacts with the beaconcha.in V2 API and organizes data based on validator performance metrics.
| Attribute | Description | Values |
|---|---|---|
| Metric Source | performance-aggregate | data.beaconscore.total |
| Time Windows | Supported lookback periods | 24h, 7d, 30d, 90d, all_time |
| Status Codes | Logic-based exit states | 0 (Good), 2 (Warning), 1 (Error) |
| Security | Network isolation | Egress restricted to beaconcha.in |
Beaconchain Validator Monitor Advanced Features
- Custom threshold configuration using the
--warn-thresholdflag to trigger alerts based on specific BeaconScore levels. - Support for multiple time-window analysis beyond the standard 24-hour check.
- JSON output mode enabled via
--jsonfor easy parsing by other agents or automated systems. - Security-first design using only the Python standard library with no local filesystem writes or subprocess spawning.
SKILL.md
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