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.
npx skills add eliecer2000/kiro-bootstrap --skill aws-observabilitygit clone --depth 1 https://github.com/eliecer2000/kiro-bootstrapWrote 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.
[](https://agentmods.dev/skills/eliecer2000/kiro-bootstrap/aws-observability)<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>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.
| Model | Per session | Once 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 |
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.
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()oconsole.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));
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.
- 7d ago First seen · 197 lines · 33 tokens per session scan A 73616fa3a1e9
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.
Other skills, from other repositories
cdkd
Install cdkd and use it safely from an AWS CDK project. Use when bootstrapping, synthesizing, diffing, deploying, inspecting, rolling back, migrating, or destroying dev/test stacks with cdkd.
cognito-passkey-auth
Amazon Cognito — Custom UI with Passkeys, Social Login & Face ID. Reference skill (loaded via skill:// from the ios agent).
amazon-location-service
Amazon Location Service. Reference skill (loaded via skill:// from the ios agent).
amazon-polly-generative
Amazon Polly Generative Voices. Reference skill (loaded via skill:// from the ios agent).
aws-cdk-mcp-server-mcp
AWS Cloud Development Kit (CDK) best practices, infrastructure as code patterns, and security compliance with CDK Nag.
sandy
Run TypeScript scripts in sandboxed microVMs or Docker containers with AWS SDK access via IMDS. Use when investigating AWS resources, running read-only queries, or executing TypeScript automation that needs AWS credentials.