Ecs Operation Review logo

Ecs Operation Review

Organization
aws-samples
ecs-operation-review

Run a structured Amazon ECS operational-excellence assessment against a live estate (Fargate/EC2/Managed Instances/ECS Anywhere) and score it GREEN/AMBER/RED. Skip for EKS/Kubernetes (use eks-operation-review). Covers 8 domains — clusters & capacity, networking, task definitions, services & deployment safety (circuit breaker, blue/green, canary), service health & autoscaling (grace period, draining, AZ rebalancing), observability, security posture, and operational processes — producing a rated report with prioritized actions. Activate for "audit my ECS estate", "ECS health check", "score my ECS posture", "review my ECS services", "GREEN/AMBER/RED my ECS clusters", including single-domain reviews. For Day-0 design use ecs-architect; for security hardening use ecs-security; for cost/TCO use ecs-cost-intelligence; for observability design use ecs-observability; for CI/CD engineering use ecs-devops; for replatform/refactor use ecs-modernize; for read-only inventory use ecs-recon (siblings once available).

Overview

Publisheraws-samples
Repositorysample-apex-skills
Skill nameecs-operation-review
Stars
90
Forks
20
Bundled files
11
LicenseMIT-0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aws-samples on GitHub. Read the source before you install it.

Installation

Install the Ecs Operation Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aws-samples/sample-apex-skills/tree/main/skills/ecs-operation-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws-samples/sample-apex-skills.git /tmp/sample-apex-skills
mkdir -p .claude/skills
cp -r /tmp/sample-apex-skills/skills/ecs-operation-review .claude/skills/ecs-operation-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecs Operation Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecs Operation Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecs Operation Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ECS Operation Review

This skill performs a structured, evidence-based operational-excellence assessment of a live Amazon ECS estate — clusters, capacity providers, services, task definitions, and their supporting AWS resources — and produces a rated report (GREEN / AMBER / RED / UNKNOWN / N/A) with prioritized, cited recommendations.

It is the umbrella Day-2 audit that walks the major domains of the Amazon ECS Best Practices Guide (ecs-best-practices.html). It is evaluative (it grades what exists), not generative — it does not design or build new environments, and it defers to the deep ECS skills for remediation depth rather than duplicating them (see "Defers to deep skills").

This skill is for Amazon ECS only. Skip it for EKS / Kubernetes estates — use eks-operation-review instead.

Scope & limitations (known blind spots)

This review is deliberately bounded. It does not currently assess, and should state as out-of-scope in the report:

  • Scheduled and standalone tasks — the audit enumerates workloads via list-services; EventBridge-scheduled tasks and one-off run-task workloads are not examined.
  • ECS Express Mode services — their ALB, security groups, and deployment config are auto-managed by AWS, so checks 2.2 / 4.x / 5.2 would mis-rate them. Mark N/A.
  • Windows and ECS Anywhere (EXTERNAL) workloads — several container-hardening and runtime-monitoring checks (3.x, 7.3, 7.4) assume Linux on Fargate/EC2 and would false-RED Windows or external tasks. Note their presence and mark the affected items N/A.
  • API throttling on large estates — when iterating over many services/task definitions, expect ECS API throttling; paginate and back off (see the pagination note in references/operational-processes.md).

State any of these that apply to the estate explicitly in the report's Scope block rather than silently omitting them.

When to use

Activate for any request to audit, review, health-check, or score an ECS estate's operational posture:

  • "Run an operational review on my ECS cluster / estate"
  • "ECS health check", "score my ECS posture", "GREEN/AMBER/RED my ECS services"
  • "Review my ECS deployment safety / capacity / networking / observability / security posture"
  • Section-scoped reviews of a single domain (e.g., "check my ECS capacity-provider scale-in", "review connection draining on my services", "audit my task-definition hygiene")

Don't use for (route elsewhere)

RequestRoute to
"Which launch type should I use — Fargate vs EC2 vs Managed Instances?", greenfield architecture/design/selectionecs-architect (Day-0 design; generative)
Read-only inventory / "what's in my estate" / discovery report before an auditecs-recon (discovery front door; until then inventory with aws ecs describe-*)
Deep security hardening, task/execution-role trust remediation, PCI/HIPAA/FedRAMP scopingecs-security
Dollar-quantified cost / TCO / Savings Plans / Spot / Graviton right-sizingecs-cost-intelligence
Designing the logs/metrics/traces stack (FireLens vs ADOT vs Datadog)ecs-observability
Building deployment pipelines / choosing rollout strategy / CI-CD engineeringecs-devops
Replatform vs refactor of an existing applicationecs-modernize

The deep ECS sibling skills named above (ecs-architect, ecs-recon, ecs-security, ecs-cost-intelligence, ecs-observability, ecs-devops, ecs-modernize) are part of the ECS skill family and may be rolled out over time; route to them by name where relevant, and if one is not yet available, note that and fall back to the AWS CLI / this skill's audit-depth guidance. General container questions, one-off aws ecs commands, and cluster creation should be handled directly without this skill.

Defers to deep skills

This review scores each domain at audit depth — enough to rate it and flag the top gaps — then hands off. When a finding warrants deeper work, name the sibling skill in the recommendation rather than reproducing its guidance here:

  • Security posture findings (Section 07) → ecs-security for role-trust hardening, secrets, compliance scope.
  • Cost / capacity-efficiency angles surfaced during the capacity review (Section 01) → ecs-cost-intelligence for $-denominated TCO.
  • Observability findings (Section 06) → ecs-observability for stack design.
  • Deployment / release-engineering findings (Section 04) → ecs-devops for pipeline and rollout-strategy design.

The review's own output is an assessment report. Acting on it (mutations, pipeline changes) is a separate, deliberate step the user chooses.

Access model — READ-ONLY

This skill is strictly read-only. It CAN issue read-only calls (aws ecs describe-*/list-*, sts get-caller-identity, application-autoscaling describe-*, autoscaling describe-*, cloudwatch describe-*, ec2 describe-*, ecr describe-*, iam get-*/list-*, elbv2 describe-*, logs describe-*, events list-*, backup list-*, guardduty list-*/get-*, service-quotas get-*/list-*) to discover estate state, and CAN write a markdown/HTML report to the workspace. It CANNOT mutate any resource (no create, update, delete, register, deregister, run-task, or scale operations). Operational reviews are discovery activities; remediation belongs to whatever path the user chooses afterward.

Prerequisites

  • AWS credentials with ECS read access (and read access to CloudWatch, ECR, IAM, ELBv2, Application Auto Scaling, GuardDuty for full coverage). ReadOnly/least-privilege credentials are preferred.
  • AWS CLI v2 configured with a default Region (aws configure get region).
  • Python 3.10+ for the optional HTML report conversion.
  • Optional: the Amazon ECS MCP server (preview) for richer live-estate inspection. If configured, its read tools may be used; the skill works fully with the AWS CLI alone. See ECS MCP server docs. The ECS MCP server is in preview and subject to change — do not depend on it; the AWS CLI is the reliable primary path.

Tool usage rules (invariants)

  1. Do NOT call any tools when this skill is first activated. Wait for the user to explicitly ask for a review.
  2. Do NOT hardcode or guess cluster/service names. Always discover them by listing first.
  3. Do NOT read config files as a connectivity "check". Verify access by making one real read call.
  4. Do NOT retry a failed call more than once. If it fails twice, mark the affected items UNKNOWN with the failure reason and continue.
  5. Always load the relevant references/ file before executing that section's checks.
  6. Never mutate. Only describe/list/get verbs. If a check would require a write, mark UNKNOWN and note it for manual investigation.
  7. Only rate on observed evidence. If a check returns no data, mark UNKNOWN — never assume.

Methodology

Step 0 — Pre-flight

Action 1 — List clusters.

aws ecs list-clusters --output json
  • Success → show the list. If one cluster, confirm: "I found one cluster: . Assess this one?" If many, ask which cluster(s) or whether to assess the whole estate.
  • Failure → STOP (do not retry more than once). Show:

    Cannot list ECS clusters. Check: (1) aws sts get-caller-identity, (2) aws configure get region, (3) that the credentials have ecs:ListClusters.

Action 2 — Describe the selected cluster(s).

aws ecs describe-clusters --clusters <name> --include SETTINGS CONFIGURATIONS TAGS STATISTICS ATTACHMENTS --output json

Show: cluster name, Region, account ID, status, registered capacity providers, default capacity-provider strategy, containerInsights setting, running/pending task counts, and tags.

Action 3 — Enumerate services and capacity providers (verifies read access).

aws ecs list-services --cluster <name> --output json
aws ecs describe-capacity-providers --output json
  • Success → proceed. Failure → mark the affected sections UNKNOWN and continue.

Action 4 — Confirm. Ask: "Ready to start the operational review on ( services)?" Proceed only after the user confirms.

Steps 1–8 — Run the assessment

For each domain, in section order, read the corresponding references/ file first, then execute its checks and rate each item with the rubric below. If a whole section fails (permissions, timeouts), mark all its items UNKNOWN with a note and continue — one failed section must not block the rest.

#SectionReference file
01Clusters & Capacity (scale-in correctness, Managed Instances, capacity-provider strategy)references/cluster-capacity.md
02Networking (awsvpc, ENI/SG-per-task, subnet IP capacity, VPC endpoints, Service Connect)references/networking.md
03Task Definitions (task size, images, volumes, log config, task/execution roles referenced)references/task-definitions.md
04Services & Deployment Safety (circuit breaker + rollback, native blue/green, canary/linear, min/max healthy %)references/services-deployment.md
05Service Health & Autoscaling (health-check grace period, LB health check, connection draining, service auto scaling, AZ rebalancing, placement)references/service-health-scaling.md
06Observability (Container Insights enhanced, FireLens/awslogs, retention, alerting, tracing)references/observability.md
07Security Posture (role trust & least privilege, secrets, container hardening, GuardDuty, ECR scanning)references/security-posture.md
08Operational Processes (IaC provenance/tagging, DR/backup, runbooks, on-call, Fargate task retirement)references/operational-processes.md

Section-scoped requests load only the matching file(s) and produce a focused report.

Step 9 — Generate the report

Read references/report-generation.md and follow it exactly. See references/scoring-rubric.md for the full rating rules and the mandatory consistency contract.

Rating rubric (summary)

RatingMeaning
🟢 GREENFully implemented — matches ECS best practices
🟡 AMBERPartial or inconsistent — improvement opportunity
🔴 REDNot implemented or significant gap — action needed
⬜ UNKNOWNCannot be determined from estate data — investigate manually
⚪ N/ACheck does not apply to this estate (compute model / architecture) — excluded from scoring and from Investigate Manually

Prioritize by blast radius: security > availability > cost. Every RED must carry a specific, cited, actionable recommendation. Full rules: references/scoring-rubric.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ecs Operation Review AI skill do?

Run a structured Amazon ECS operational-excellence assessment against a live estate (Fargate/EC2/Managed Instances/ECS Anywhere) and score it GREEN/AMBER/RED. Skip for EKS/Kubernetes (use eks-operation-review). Covers 8 domains — clusters & capacity, networking, task definitions, services & deployment safety (circuit breaker, blue/green, canary), service health & autoscaling (grace period, draining, AZ rebalancing), observability, security posture, and operational processes — producing a rated report with prioritized actions. Activate for "audit my ECS estate", "ECS health check", "score my...

Why use Ecs Operation Review on TypingMind?

Because you install it once and use it with any model. Ecs Operation Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecs Operation Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws-samples/sample-apex-skills/tree/main/skills/ecs-operation-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ecs Operation Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecs Operation Review?

As many as you like. As long as a model supports skills, you can use Ecs Operation Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecs Operation Review AI skill free?

Yes. It is published on GitHub by aws-samples under the MIT-0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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