Is sensitive data like Evernote tokens protected in logs?

Yes, the skill includes a custom structured logger with built-in regex redaction patterns that automatically identify and mask Evernote tokens and bearer strings before they are written.

Does it provide health check endpoints?

Yes, it includes Express.js routes for liveness and readiness probes, including status checks for the underlying database, cache, and memory usage.

What monitoring tools does this skill support?

It is designed with standard tools in mind, specifically Prometheus for metrics, Jaeger for tracing via OpenTelemetry, and Winston for structured logging.

How does this skill handle Evernote rate limits?

The skill includes a metrics collector that specifically tracks Evernote error code 19 (Rate Limit), recording the wait time and incrementing a dedicated rate limit counter for alerting.

Evernote Observability & Monitoring

Name: Evernote Observability & Monitoring
Author: jeremylongshore

byjeremylongshore

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1,243

Analytics & Monitoring

Implements comprehensive monitoring, structured logging, and distributed tracing for Evernote API integrations to ensure service reliability.

About

The Evernote Observability skill provides a production-grade framework for monitoring Evernote-integrated applications. It automates the setup of detailed Prometheus metrics for tracking API calls, rate limits, and quota usage, while providing structured logging with automatic redaction of sensitive authentication tokens. By incorporating OpenTelemetry for distributed tracing and pre-configured health check endpoints, this skill allows developers to gain deep visibility into their integration's performance and respond proactively to errors or latency issues.

Key Features

OpenTelemetry instrumentation for distributed request tracing
Ready-to-use Express.js health, readiness, and metrics endpoints
Structured logging with automatic redaction of Evernote tokens
Prometheus-based metrics for API performance and rate limit tracking
Pre-configured Prometheus alerting rules for high error rates and latency
1,243 GitHub stars

Use Cases

Implementing standardized health checks for Evernote-connected microservices
Monitoring production Evernote integrations for API rate limit threshold hits
Debugging latency issues and performance bottlenecks in note-syncing services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills evernote-observability

For use in Claude.ai and ChatGPT

Download Skill

GitHub