Beaconchain

Use this skill to reduce validator-check anxiety: do one concise daily health check, then only surface issues.

Quick Start

1. Set credentials as env vars:
• BEACONCHAIN_API_KEY
• BEACONCHAIN_DASHBOARD_ID
2. Run:

python3 skills/beaconchain/scripts/check_dashboard.py --json

1. Interpret exit code:
• 0 = good
• 2 = bad (needs attention)
• 1 = error (auth/rate-limit/endpoint failure)

Monitoring Workflow

1. Run scripts/check_dashboard.py once per day.
2. If status=good, respond with a short reassurance and avoid extra detail.
3. If status=bad, report:
• BeaconScore (if available)
• Which signal tripped (missed/penalty fallback)
• Next action: inspect dashboard details and validator logs.
4. If status=error, report key checks:
• API key validity
• dashboard ID
• plan/rate-limit permissions.

Command Patterns

Basic check

python3 skills/beaconchain/scripts/check_dashboard.py

JSON output (for cron/parsing)

python3 skills/beaconchain/scripts/check_dashboard.py --json

Custom threshold

python3 skills/beaconchain/scripts/check_dashboard.py --warn-threshold 75

Notes

• Script uses POST /api/v2/ethereum/validators/performance-aggregate with dashboard selector and reads data.beaconscore.total directly.
• Default window is 24h; supported windows: 24h, 7d, 30d, 90d, all_time.
• Keep responses intentionally terse when healthy to support low-anxiety operations.

Security & Transparency

• Runtime: python3 only, using Python standard library (argparse, json, urllib, datetime).
• Credentials: reads BEACONCHAIN_API_KEY and BEACONCHAIN_DASHBOARD_ID (or equivalent CLI flags).
• Network egress: only https://beaconcha.in/api/v2/ethereum/validators/performance-aggregate.
• Local filesystem: no writes, no shell execution, no subprocess spawning.

References

• API overview: references/api-notes.md