logging-error-tracking-expert

logging-error-tracking-expert is a skill for Claude Code, Codex from roedyrustam/vibes-plug. It costs 81 tokens per session (2,811 once invoked), scanned A, original, MIT.

A guide to recording application events, finding errors, and monitoring software in production. It covers structured logs, error reports, request tracking across services, alerts, and removing personal data from logs.

In plain words
What is it for?
Use it to set up logging and error tracking for Node.js, React, or Next.js applications, connect log services, correlate requests, configure alerts, and mask personal information.
Why use it?
It makes production failures easier to trace while helping keep logs useful and compliant with privacy requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to set up logging and error tracking for Node.js, React, or Next.js applications, connect log services, correlate requests, configure alerts, and mask personal information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roedyrustam/vibes-plug/logging-error-tracking-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add roedyrustam/vibes-plug --skill logging-error-tracking-expert
Clone the repo
git clone --depth 1 https://github.com/roedyrustam/vibes-plug

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for logging-error-tracking-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/logging-error-tracking-expert.svg)](https://agentmods.dev/skills/roedyrustam/vibes-plug/logging-error-tracking-expert)
Your own site
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/logging-error-tracking-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/logging-error-tracking-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,811 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 198
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.02811
Opus 5 $0.00041 $0.01406
Sonnet 5 $0.00016 $0.00562
Haiku 4.5 $0.00008 $0.00281

Measured 4d ago against content hash e43cec523671, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

logging-error-tracking-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/logging-error-tracking-expert/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Logging & Error Tracking Expert (2026 Edition)

English | Bahasa Indonesia


English

Orchestration & Integration

Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.

Description

Production-grade guide for implementing structured logging, error tracking, and application monitoring. Covers Pino (high-performance JSON logging), Sentry SDK integration (React, Node.js, Next.js), source map upload for production errors, request ID correlation across microservices, log aggregation (Axiom, Datadog, Logflare), alert rules, GDPR-compliant log redaction (PII masking), and OpenTelemetry integration.

Trigger Conditions

Activate this skill when:

  • Setting up structured logging for Node.js/Bun backend services.
  • Integrating Sentry for error tracking in React/Next.js apps.
  • Implementing request ID correlation across microservices.
  • Setting up log aggregation and search (Axiom, Datadog, Grafana Loki).
  • Configuring alerting rules for production errors.
  • Implementing GDPR-compliant log management (PII redaction).
  • Setting up source map uploads for production debugging.

Logging Library Selection Guide

Library Best For Performance Output Format
Pino High-throughput Node.js services ⭐⭐⭐⭐⭐ (fastest) JSON (structured)
Winston Enterprise, multiple transports ⭐⭐⭐ Configurable
Bunyan Legacy projects ⭐⭐⭐⭐ JSON
console.log Never in production Unstructured

Recommendation: Use Pino for all production services (10x faster than Winston, native JSON).


1. Structured Logging with Pino

// lib/logger.ts
import pino from 'pino';

export const logger = pino({
  level: process.env.LOG_LEVEL ?? 'info',
  // Redact sensitive fields (GDPR/PII)
  redact: {
    paths: ['req.headers.authorization', 'req.headers.cookie', '*.password', '*.token', '*.ssn', '*.creditCard'],
    censor: '[REDACTED]',
  },
  // Standardized format
  formatters: {
    level: (label) => ({ level: label }),
    bindings: (bindings) => ({
      service: process.env.SERVICE_NAME ?? 'app',
      environment: process.env.NODE_ENV,
      version: process.env.APP_VERSION,
      pid: bindings.pid,
      hostname: bindings.hostname,
    }),
  },
  timestamp: pino.stdTimeFunctions.isoTime,
});

// Child logger for specific domain
export const dbLogger = logger.child({ module: 'database' });
export const authLogger = logger.child({ module: 'auth' });
export const paymentLogger = logger.child({ module: 'payment' });

Read the full file on GitHub · 345 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 345 lines · 81 tokens per session scan A e43cec523671

Subscribe to this mod's changes

logging-error-tracking-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 2,811 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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