observability-engineer

observability-engineer is a skill for Claude Code, Codex from hoangatg/ai-agent-toolkit. It costs 36 tokens per session (888 once invoked), scanned A, original, MIT.

A guide to observing running software through metrics, logs, traces, and alerts. Metrics are numbers, logs record events, and traces show how a request moves through services.

In plain words
What is it for?
Use it to design monitoring, logging, tracing, service metrics, dashboards, and incident alerts.
Why use it?
It helps developers find failures, slow requests, growing queues, and overloaded resources in production.

Skill for Claude CodeCodex

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

Good fit Use it to design monitoring, logging, tracing, service metrics, dashboards, and incident alerts.

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Install with agentmods
npx agentmods add skills/hoangatg/ai-agent-toolkit/observability-engineer
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 hoangatg/ai-agent-toolkit --skill observability-engineer
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

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 observability-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/observability-engineer/github.svg)](https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/observability-engineer)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for observability-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/observability-engineer"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/observability-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 888 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.
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 $0.00036 $0.00888
Opus 5 $0.00018 $0.00444
Sonnet 5 $0.00007 $0.00178
Haiku 4.5 $0.00004 $0.00089

Measured 7d ago against content hash d5d373f4042d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

observability-engineer 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 7d 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.

.agent/skills/observability-engineer/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observability Engineer

If you can't see it, you can't fix it. If you can't measure it, you can't improve it.


1. Three Pillars

Pillar Purpose Tools
Metrics What's happening (numbers) Prometheus, Datadog, CloudWatch
Logging Why it happened (events) ELK, Loki, CloudWatch Logs
Tracing How it happened (flow) Jaeger, Tempo, X-Ray

2. Metrics Design

RED Method (Services)

Metric Measures
Rate Requests per second
Errors Failed requests per second
Duration Latency distribution (p50, p95, p99)

USE Method (Resources)

Metric Measures
Utilization % time resource is busy
Saturation Queue depth / backlog
Errors Error count

Golden Signals

Signal Question
Latency How long do requests take?
Traffic How much demand?
Errors What's failing?
Saturation How full is the system?

3. Logging Best Practices

Principle Application
Structured JSON format, not free text
Leveled DEBUG, INFO, WARN, ERROR, FATAL
Contextual Include requestId, userId, traceId
Sampling High-volume logs: sample, don't log all
Retention Define tiered retention policies

What to Log

✅ Do Log ❌ Don't Log
Request/response metadata Sensitive data (PII, secrets)
Error details with stack Successful health checks
State transitions Every database query
Authentication events Request/response bodies (usually)

4. Alerting Strategy

Alert Design

Principle Application
Symptom-based Alert on user impact, not causes
Actionable Every alert must have a runbook
Tiered severity P1 (page now) → P4 (review later)
Low noise Tune to avoid alert fatigue

Read the full file on GitHub · 130 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. 7d ago First seen · 130 lines · 36 tokens per session scan A d5d373f4042d

Subscribe to this mod's changes

observability-engineer is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 888 once invoked, about $0.0002 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.