rds-operation-review

rds-operation-review is a skill for Claude Code, Codex from aws/tools-for-devops-agent. It costs 118 tokens per session (4,889 once invoked), scanned A, original, Apache-2.0.

A review of Amazon RDS databases and Aurora clusters, which are managed AWS database services. It checks their setup against AWS guidance for security, reliability, performance, backups, and cost.

In plain words
What is it for?
Use it to assess selected databases or all databases across AWS regions, including their monitoring, backups, security, performance, reliability, and cost settings.
Why use it?
It helps find database configuration problems, health issues, and differences from recommended settings before they cause outages, data loss, or unnecessary spending.

Skill for Claude CodeCodex

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

Good fit Use it to assess selected databases or all databases across AWS regions, including their monitoring, backups, security, performance, reliability, and cost settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws/tools-for-devops-agent/rds-operation-review
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 aws/tools-for-devops-agent --skill rds-operation-review
Clone the repo
git clone --depth 1 https://github.com/aws/tools-for-devops-agent

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 rds-operation-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/rds-operation-review/github.svg)](https://agentmods.dev/skills/aws/tools-for-devops-agent/rds-operation-review)
Your own site
<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/rds-operation-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/rds-operation-review/github.svg" alt="Measured on agentmods" height="20"></a>

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 rds-operation-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/rds-operation-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/rds-operation-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,889 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00118 $0.04889
Opus 5.5 $0.00047 $0.01956
Sonnet 5.5 $0.00024 $0.00978
Haiku 4.5 $0.00012 $0.00489

Measured 4d ago against content hash ef3252db3ae6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rds-operation-review 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 4d 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/rds-operation-review/SKILL.md · 388 lines

How it starts

The opening of the file, as written. The whole thing — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RDS / Aurora Operational Review

Conduct a comprehensive operational review of Amazon RDS instances and Amazon Aurora clusters aligned with the AWS Well-Architected Framework and the Amazon RDS and Aurora best-practices guides.

This skill uses the AWS RDS, Aurora, CloudWatch, CloudWatch Logs, EC2, and Cost Explorer APIs only — no Kubernetes (k8s) or eks MCP tools. All data is collected through native AWS APIs available to the DevOps Agent's primary cloud source role.

When to Use

Activate this skill when the user asks to:

  • Review, audit, or assess RDS instances or Aurora clusters
  • Check RDS / Aurora best-practices compliance
  • Evaluate database security, cost, reliability, performance, or backups
  • Perform an RDS / Aurora operational readiness review (ORR)
  • Investigate database health or configuration drift

Step 1: Identify Target Resources

Ask the user which databases to review. Accept:

  • Specific instance / cluster identifiers and regions
  • "all instances" / "all clusters" in specific regions
  • "all RDS in all regions"

If no scope is given, default to all configured account regions.

Step 2: Discover RDS / Aurora Resources

Per region (skip empty regions):

rds.DescribeDBInstances           # RDS instances + Aurora cluster member instances
rds.DescribeDBClusters            # Aurora clusters (skip if user said "Provisioned only")
rds.DescribeDBClusterEndpoints    # Aurora reader/writer endpoints
rds.DescribeGlobalClusters        # Aurora Global Database (cross-region)
rds.DescribeDBProxies             # RDS Proxy

Capture per resource:

  • Engine, engineVersion, dbInstanceClass / serverlessV2 capacity
  • Multi-AZ, AvailabilityZones, subnetGroup, VpcId
  • AllocatedStorage, MaxAllocatedStorage, StorageType, Iops, StorageThroughput, StorageEncrypted, KmsKeyId
  • BackupRetentionPeriod, PreferredBackupWindow, PreferredMaintenanceWindow, AutoMinorVersionUpgrade
  • DeletionProtection, PubliclyAccessible, IAMDatabaseAuthenticationEnabled
  • PerformanceInsightsEnabled, PerformanceInsightsRetentionPeriod, MonitoringInterval (Enhanced Monitoring), MonitoringRoleArn
  • EnabledCloudwatchLogsExports, AssociatedRoles
  • ReadReplicaSourceDBInstanceIdentifier / ReadReplicaDBInstanceIdentifiers
  • Tags (rds.ListTagsForResource — param name is ResourceName and value is the resource ARN)

Read the full file on GitHub · 388 lines

Files

What ships with it

7 files 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.

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. 4d ago Changed ef3252db3ae6
  2. 5d ago Changed f4a33909d3ed
  3. 1mo ago First seen · 388 lines · 118 tokens per session scan A 2f0a372b603b

Subscribe to this mod's changes

rds-operation-review is a skill published in the GitHub repository aws/tools-for-devops-agent (116 stars, last pushed yesterday), licensed Apache-2.0. It adds 118 tokens to every session and 4,889 once invoked, about $0.0005 per session on Opus 5.5. 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.

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