AWS Agent Skills is a collection of local instructions that help coding agents reason about AWS cloud services and engineering tasks. It supports agents working with areas such as identity, compute, storage, serverless, databases, networking, and security. The catalogue contains 18 service-focused skills and one plugin for using these capabilities with coding agents.
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 agentmods add skills/itsmostafa/aws-agent-skills/cloudwatchnpx skills add itsmostafa/aws-agent-skills --skill cloudwatchgit clone --depth 1 https://github.com/itsmostafa/aws-agent-skillsWrote 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/itsmostafa/aws-agent-skills/cloudwatch)<a href="https://agentmods.dev/skills/itsmostafa/aws-agent-skills/cloudwatch"><img src="https://agentmods.dev/badge/skills/itsmostafa/aws-agent-skills/cloudwatch.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 | $0.00043 | $0.02738 |
| Opus 5 | $0.00022 | $0.01369 |
| Sonnet 5 | $0.00009 | $0.00548 |
| Haiku 4.5 | $0.00004 | $0.00274 |
Grade A, and why
cloudwatch 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 6d 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 — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS CloudWatch
Amazon CloudWatch provides monitoring and observability for AWS resources and applications. It collects metrics, logs, and events, enabling you to monitor, troubleshoot, and optimize your AWS environment.
Table of Contents
Core Concepts
Metrics
Time-ordered data points published to CloudWatch. Key components:
- Namespace: Container for metrics (e.g.,
AWS/Lambda) - Metric name: Name of the measurement (e.g.,
Invocations) - Dimensions: Name-value pairs for filtering (e.g.,
FunctionName=MyFunc) - Statistics: Aggregations (Sum, Average, Min, Max, SampleCount, pN)
Logs
Log data from AWS services and applications:
- Log groups: Collections of log streams
- Log streams: Sequences of log events from same source
- Log events: Individual log entries with timestamp and message
Alarms
Automated actions based on metric thresholds:
- States: OK, ALARM, INSUFFICIENT_DATA
- Actions: SNS notifications, Auto Scaling, EC2 actions
Common Patterns
Create a Metric Alarm
AWS CLI:
# CPU utilization alarm for EC2
aws cloudwatch put-metric-alarm \
--alarm-name "HighCPU-i-1234567890abcdef0" \
--metric-name CPUUtilization \
--namespace AWS/EC2 \
--statistic Average \
--period 300 \
--threshold 80 \
--comparison-operator GreaterThanThreshold \
--evaluation-periods 2 \
--dimensions Name=InstanceId,Value=i-1234567890abcdef0 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:alerts \
--ok-actions arn:aws:sns:us-east-1:123456789012:alerts
boto3:
import boto3
cloudwatch = boto3.client('cloudwatch')
cloudwatch.put_metric_alarm(
AlarmName='HighCPU-i-1234567890abcdef0',
MetricName='CPUUtilization',
Namespace='AWS/EC2',
Statistic='Average',
Period=300,
Threshold=80.0,
ComparisonOperator='GreaterThanThreshold',
EvaluationPeriods=2,
Dimensions=[
{'Name': 'InstanceId', 'Value': 'i-1234567890abcdef0'}
],
AlarmActions=['arn:aws:sns:us-east-1:123456789012:alerts'],
OKActions=['arn:aws:sns:us-east-1:123456789012:alerts']
)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 404 lines · 43 tokens per session scan A 5747397973a0
cloudwatch is a skill published in the GitHub repository itsmostafa/aws-agent-skills (1,150 stars, last pushed 5d ago), licensed MIT. It adds 43 tokens to every session and 2,738 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 2026-08-30.
Other skills, from other repositories
aws-essentials
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pier-cloud
This skill should be used when the user needs to consume the Pier Cloud (Lighthouse) API for cloud cost management — including JWT authentication, listing contexts, workspaces, and FinOps data views. Trigger whenever there is a need to integrate, automate, or debug calls to the Pier Cloud platform via Python, Node.js…
terrashark
Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps. Use when generating, reviewing, refactoring, or migrating IaC and when building delivery/testing pipelines.
aws-cloudtrail
Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.
gcp-audit-logs
Configure GCP Cloud Audit Logs for compliance. Set up log routing and BigQuery analysis. Use when auditing GCP activity.
aws-vpc
Design and implement VPCs and networking. Configure subnets, route tables, and security groups. Use when setting up AWS network infrastructure.