aws-observability

aws-observability is a skill for Claude Code, Codex from eliecer2000/kiro-bootstrap. It costs 33 tokens per session (1,639 once invoked), scanned A, original, MIT.

A guide for monitoring AWS applications and services. Observability means collecting logs, measurements, and request traces so you can understand what a system is doing.

In plain words
What is it for?
Use it to configure structured CloudWatch logs, custom metrics, alarms, dashboards, AWS X-Ray tracing, and monitoring for Lambda and other AWS workloads.
Why use it?
It helps teams find failures, measure service health, and respond to alerts with useful information instead of relying on plain text logs or guesswork.

Skill for Claude CodeCodex

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

Good fit Use it to configure structured CloudWatch logs, custom metrics, alarms, dashboards, AWS X-Ray tracing, and monitoring for Lambda and other AWS workloads.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eliecer2000/kiro-bootstrap/aws-observability
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 eliecer2000/kiro-bootstrap --skill aws-observability
Clone the repo
git clone --depth 1 https://github.com/eliecer2000/kiro-bootstrap

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 aws-observability

README.md
[![agentmods](https://agentmods.dev/badge/skills/eliecer2000/kiro-bootstrap/aws-observability.svg)](https://agentmods.dev/skills/eliecer2000/kiro-bootstrap/aws-observability)
Your own site
<a href="https://agentmods.dev/skills/eliecer2000/kiro-bootstrap/aws-observability"><img src="https://agentmods.dev/badge/skills/eliecer2000/kiro-bootstrap/aws-observability.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,639 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 $0.00033 $0.01639
Opus 5 $0.00016 $0.00820
Sonnet 5 $0.00007 $0.00328
Haiku 4.5 $0.00003 $0.00164

Measured 7d ago against content hash 73616fa3a1e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

aws-observability 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.

skills/aws-observability/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Observability

Skill para implementar observabilidad completa en workloads AWS: logs estructurados con CloudWatch, métricas custom, alarmas, dashboards, trazas distribuidas con X-Ray, y operaciones de monitoreo proactivo.

Principios fundamentales

  • Observabilidad desde día 1, no como afterthought. Cada recurso desplegado debe tener logging, métricas y trazas configurados.
  • Logs estructurados en JSON siempre. Nunca print() o console.log() con texto plano en producción.
  • Tres pilares: Logs (qué pasó), Métricas (cuánto/cuándo), Trazas (dónde en el flujo).
  • Alarmas accionables: cada alarma debe tener un runbook asociado. Si no sabes qué hacer cuando suena, no la crees.
  • Usar AWS Lambda Powertools como estándar para logging, tracing y metrics en Lambda.

Logging estructurado

Con Powertools (Python)

from aws_lambda_powertools import Logger
logger = Logger(service="order-service")

logger.info("Order created", extra={
    "order_id": order.id,
    "customer_id": order.customer_id,
    "total": order.total,
    "items_count": len(order.items),
})

Con Powertools (TypeScript)

import { Logger } from '@aws-lambda-powertools/logger';
const logger = new Logger({ serviceName: 'order-service' });

logger.info('Order created', {
  orderId: order.id,
  customerId: order.customerId,
  total: order.total,
  itemsCount: order.items.length,
});

Log retention por ambiente

Ambiente Retención
dev 7 días
staging 30 días
prod 365 días

Métricas custom

Con Powertools (CDK + Lambda)

import { Metrics, MetricUnit } from '@aws-lambda-powertools/metrics';
const metrics = new Metrics({ namespace: 'MiApp', serviceName: 'order-service' });

metrics.addMetric('OrderCreated', MetricUnit.Count, 1);
metrics.addDimension('Environment', process.env.STAGE ?? 'dev');

Alarmas

Alarma de errores Lambda (CDK)

const errorAlarm = new cloudwatch.Alarm(this, 'LambdaErrorAlarm', {
  metric: fn.metricErrors({ period: cdk.Duration.minutes(5) }),
  threshold: 5,
  evaluationPeriods: 2,
  treatMissingData: cloudwatch.TreatMissingData.NOT_BREACHING,
  alarmDescription: 'Lambda errors > 5 in 10 min. Runbook: https://wiki/runbooks/lambda-errors',
});

errorAlarm.addAlarmAction(new cw_actions.SnsAction(alertsTopic));

Read the full file on GitHub · 197 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 · 197 lines · 33 tokens per session scan A 73616fa3a1e9

Subscribe to this mod's changes

aws-observability is a skill published in the GitHub repository eliecer2000/kiro-bootstrap (9 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 1,639 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 2026-08-31.