Agent skill

Error Monitoring

by thedaviddias in thedaviddias/Front-End-Checklist

A skill your agent uses when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

MITAuto-check passedDevOps & Cloud

Install Error Monitoring

skills CLI
$ npx skills add thedaviddias/Front-End-Checklist --skill error-monitoring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thedaviddias/Front-End-Checklist error-monitoring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thedaviddias/Front-End-Checklist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/error-monitoring .claude/skills/error-monitoring && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
error-monitoring
GitHub stars
74k
Token cost
~556 tokens
SKILL.md length
238 words
Files
2 (incl. references)
Skills in repo
390
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

  • Setting up a new projects production observability stack
  • SKILL.md covers Quick Reference, Check, Fix and Explain, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Reviewing incident response readiness

What it does

Error Monitoring is an agent skill from thedaviddias/Front-End-Checklist. Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/rule.md`).

It sits in DevOps & Cloud, covering Incident response and Observability. The repository describes itself as: 🗂 The essential checklist for modern web development, for humans and AI agents. The licence is MIT.

When your agent uses it

  • Setting up a new projects production observability stack
  • Reviewing incident response readiness
  • Investigating why errors are going undetected

Example prompts

  • “/error-monitoring”

What it can do on your machine

Read from SKILL.md and the folder at commit e8d14d0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • frontendchecklist.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Error Monitoring loads about 556 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 238 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~556
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from thedaviddias/Front-End-Checklist at commit e8d14d0, republished under its MIT licence (© thedaviddias). 238 words, ~556 tokens.

Download SKILL.mdSave it as .claude/skills/error-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
error-monitoring
description
Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.
metadata.category
testing
metadata.priority
high
metadata.difficulty
intermediate
metadata.estimatedTime
30
metadata.source
frontendchecklist.io
metadata.url
https://frontendchecklist.io/rules/testing/error-monitoring

Integrate real-time error monitoring in production

Production errors are invisible without monitoring. Users rarely file detailed bug reports — they simply leave. Error monitoring gives you actionable stack traces, breadcrumbs, and user context within seconds of an issue occurring, cutting mean time to detect (MTTD) from days to minutes and dramatically reducing the cost of incidents.

Quick Reference

  • Install an error monitoring SDK (Sentry, Datadog, Bugsnag, etc.) early in the app entry point
  • Capture unhandled exceptions, unhandled promise rejections, and React error boundaries
  • Attach user context, release version, and environment to every event
  • Configure alert thresholds and on-call routing so critical errors page the right team
  • Capture failed network requests and production RUM signals such as Core Web Vitals

Check

Check whether an error monitoring service is configured and capturing unhandled errors, promise rejections, React/framework-level errors, failed network requests, and production Core Web Vitals signals.

Fix

Integrate an error monitoring SDK, configure environment and release tagging, capture failed network requests and RUM metrics, and set up alerts for critical error thresholds and regressions.

Explain

Explain how error monitoring services work, what signals they capture, and how error grouping reduces alert noise.

Code Review

Review the monitoring initialisation code. Flag missing user context, absent release tagging, overly broad event filters, missing network instrumentation, and any patterns that would swallow errors before they reach the monitoring service.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/testing/error-monitoring

© thedaviddias, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/error-monitoring of thedaviddias/Front-End-Checklist.

  • SKILL.md
  • references/rule.md

Open the folder on GitHubat commit e8d14d0

Compare with similar skills

Error Monitoring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Error Monitoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Error Monitoring this skillthedaviddias/Front-End-Checklist74k—~556Automated safety check: PassMIT
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0
UModel Root Cause Analysisalibaba/UnifiedModel415—~1.9kAutomated safety check: PassCustom licence
Axiom SRE Investigatoropenclaw/clawhub9.5k—~7.1kAutomated safety check: PassMIT
Observability Engineerdavila7/claude-code-templates33k8 repos~3.2kAutomated safety check: PassMIT
Enterprise Agent Opsaffaan-m/ECC277k4 repos~384Automated safety check: PassMIT

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  • Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.

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Categories

Questions about Error Monitoring

What does Error Monitoring do?

A skill your agent uses when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected. Error Monitoring is an agent skill from thedaviddias/Front-End-Checklist. Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

When should I use Error Monitoring?

Error Monitoring fits situations like: setting up a new projects production observability stack; reviewing incident response readiness; investigating why errors are going undetected.

How do I install Error Monitoring in Claude Code?

Run `npx skills add thedaviddias/Front-End-Checklist --skill error-monitoring -a claude-code`. Or copy the skill folder (skills/error-monitoring in thedaviddias/Front-End-Checklist) into .claude/skills/error-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Error Monitoring in Codex?

Run `npx skills add thedaviddias/Front-End-Checklist --skill error-monitoring -a codex`. Or copy the skill folder (skills/error-monitoring in thedaviddias/Front-End-Checklist) into .agents/skills/error-monitoring in your project. Codex loads it when a task matches its description.

Can I use Error Monitoring in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thedaviddias/Front-End-Checklist --skill error-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/error-monitoring, .gemini/skills/error-monitoring, .github/skills/error-monitoring and .opencode/skills/error-monitoring in your project.

What does Error Monitoring need to run?

SKILL.md names no scripts, command-line tools or credentials: Error Monitoring is instructions for the agent only.

Does Error Monitoring access the network?

SKILL.md names 1 domain. As links in the text: frontendchecklist.io. This is read from the text; nothing was executed.

Is Error Monitoring safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Error Monitoring use?

Error Monitoring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Error Monitoring use?

About 556 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Error Monitoring?

Skills that share tags, products or a category with Error Monitoring: Kubernetes Network Root Cause Analysis (kubeshark/kubeshark, 12k stars), UModel Root Cause Analysis (alibaba/UnifiedModel, 415 stars), Axiom SRE Investigator (openclaw/clawhub, 9.5k stars) and Observability Engineer (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Error Monitoring?

thedaviddias (a GitHub user) maintains it in thedaviddias/Front-End-Checklist, which has 74,421 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 6, 2026.

Source: thedaviddias/Front-End-Checklist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.