Agent skill

AWS Rds

by sickn33 in sickn33/agentic-awesome-skills

Provision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passedDevOps & Cloud

Install AWS Rds

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills aws-rds --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aws-rds .claude/skills/aws-rds && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aws-rds
GitHub stars
47k
Used in
2 other repos
Token cost
~3.3k tokens
SKILL.md length
324 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Provision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills.

  • Deploying managed relational databases on AWS
  • SKILL.md covers When to Use This Skill, Prerequisites, Create a DB Subnet Group and Create a Production Database, plus 9 more sections
  • Calls aws
  • Tasks that involve Backup and disaster recovery

What it does

AWS Rds is an agent skill from sickn33/agentic-awesome-skills. Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

It sits in DevOps & Cloud, covering Backup and disaster recovery and Database administration. It works with Amazon Web Services. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Deploying managed relational databases on AWS
  • Tasks that involve Backup and disaster recovery
  • Tasks that involve Database administration

Example prompts

  • “/aws-rds”

Requirements

  • Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.

    From compatibility in the SKILL.md frontmatter.

Context cost

AWS Rds loads about 3.3k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 324 words, ~3,328 tokens.

Download SKILL.mdSave it as .claude/skills/aws-rds/SKILL.md (or your agent's skills folder).
name
aws-rds
description
Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.
compatibility
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
category
devops
risk
critical
source
https://github.com/BagelHole/DevOps-Security-Agent-Skills
source_repo
BagelHole/DevOps-Security-Agent-Skills
source_type
community
date_added
2026-09-20
license
MIT
license_source
https://github.com/BagelHole/DevOps-Security-Agent-Skills/blob/main/LICENSE
metadata.author
devops-skills
metadata.version
1.0

AWS RDS

Deploy and manage Amazon RDS relational databases with production-grade backups, replication, monitoring, and security.

When to Use This Skill

  • Provisioning a managed PostgreSQL, MySQL, MariaDB, Oracle, or SQL Server database
  • Setting up Multi-AZ deployments for high availability
  • Creating read replicas for horizontal read scaling
  • Configuring automated backups, snapshots, and point-in-time recovery
  • Tuning database parameters for performance
  • Migrating from self-managed databases to RDS
  • Monitoring database performance and setting up alarms

Prerequisites

  • AWS CLI v2 installed and configured
  • IAM permissions: rds:*, ec2:DescribeSecurityGroups, ec2:DescribeSubnets, kms:*, cloudwatch:*
  • A VPC with at least two subnets in different AZs (for subnet group)
  • Security group allowing database port access from application subnets only

Create a DB Subnet Group

bash
# Create a subnet group spanning two AZs
aws rds create-db-subnet-group \
  --db-subnet-group-name production-db-subnets \
  --db-subnet-group-description "Production database subnets" \
  --subnet-ids subnet-private-a subnet-private-b

# List subnet groups
aws rds describe-db-subnet-groups \
  --query "DBSubnetGroups[].{Name:DBSubnetGroupName,VPC:VpcId,Status:SubnetGroupStatus}" \
  --output table

Create a Production Database

bash
# Create a PostgreSQL 16 Multi-AZ instance
aws rds create-db-instance \
  --db-instance-identifier production-api-db \
  --db-instance-class db.r6g.large \
  --engine postgres \
  --engine-version 16.4 \
  --master-username appadmin \
  --manage-master-user-password \
  --allocated-storage 100 \
  --max-allocated-storage 500 \
  --storage-type gp3 \
  --storage-encrypted \
  --kms-key-id alias/rds-key \
  --vpc-security-group-ids sg-db-access \
  --db-subnet-group-name production-db-subnets \
  --db-name appdb \
  --backup-retention-period 14 \
  --preferred-backup-window "03:00-04:00" \
  --preferred-maintenance-window "sun:05:00-sun:06:00" \
  --multi-az \
  --auto-minor-version-upgrade \
  --deletion-protection \
  --copy-tags-to-snapshot \
  --monitoring-interval 60 \
  --monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role \
  --enable-performance-insights \
  --performance-insights-retention-period 7 \
  --enable-cloudwatch-logs-exports '["postgresql","upgrade"]' \
  --tags '[
    {"Key":"Environment","Value":"production"},
    {"Key":"Team","Value":"backend"},
    {"Key":"Backup","Value":"daily"}
  ]'

# Wait for instance to become available
aws rds wait db-instance-available --db-instance-identifier production-api-db

# Get connection endpoint
aws rds describe-db-instances \
  --db-instance-identifier production-api-db \
  --query "DBInstances[0].Endpoint.{Address:Address,Port:Port}" \
  --output table

Retrieve Master Password from Secrets Manager

bash
# When using --manage-master-user-password, RDS stores the password in Secrets Manager
aws rds describe-db-instances \
  --db-instance-identifier production-api-db \
  --query "DBInstances[0].MasterUserSecret.SecretArn" \
  --output text

# Retrieve the secret value
aws secretsmanager get-secret-value \
  --secret-id arn:aws:secretsmanager:us-east-1:123456789012:secret:rds-db-secret-abc123 \
  --query SecretString --output text

Parameter Groups

bash
# Create a custom parameter group
aws rds create-db-parameter-group \
  --db-parameter-group-name production-pg16 \
  --db-parameter-group-family postgres16 \
  --description "Production PostgreSQL 16 parameters"

# Set performance parameters
aws rds modify-db-parameter-group \
  --db-parameter-group-name production-pg16 \
  --parameters \
    "ParameterName=max_connections,ParameterValue=200,ApplyMethod=pending-reboot" \
    "ParameterName=shared_buffers,ParameterValue={DBInstanceClassMemory/4},ApplyMethod=pending-reboot" \
    "ParameterName=effective_cache_size,ParameterValue={DBInstanceClassMemory*3/4},ApplyMethod=pending-reboot" \
    "ParameterName=work_mem,ParameterValue=65536,ApplyMethod=immediate" \
    "ParameterName=maintenance_work_mem,ParameterValue=524288,ApplyMethod=immediate" \
    "ParameterName=random_page_cost,ParameterValue=1.1,ApplyMethod=immediate" \
    "ParameterName=log_min_duration_statement,ParameterValue=1000,ApplyMethod=immediate" \
    "ParameterName=log_statement,ParameterValue=ddl,ApplyMethod=immediate" \
    "ParameterName=idle_in_transaction_session_timeout,ParameterValue=60000,ApplyMethod=immediate"

# Apply parameter group to the instance
aws rds modify-db-instance \
  --db-instance-identifier production-api-db \
  --db-parameter-group-name production-pg16 \
  --apply-immediately

Read Replicas

bash
# Create a read replica in the same region
aws rds create-db-instance-read-replica \
  --db-instance-identifier production-api-db-read1 \
  --source-db-instance-identifier production-api-db \
  --db-instance-class db.r6g.large \
  --availability-zone us-east-1b \
  --enable-performance-insights \
  --monitoring-interval 60 \
  --monitoring-role-arn arn:aws:iam::123456789012:role/rds-monitoring-role

# Create a cross-region read replica for DR
aws rds create-db-instance-read-replica \
  --db-instance-identifier dr-api-db-read \
  --source-db-instance-identifier arn:aws:rds:us-east-1:123456789012:db:production-api-db \
  --db-instance-class db.r6g.large \
  --region us-west-2 \
  --storage-encrypted \
  --kms-key-id alias/rds-dr-key

# Promote a read replica to standalone (for DR failover)
aws rds promote-read-replica \
  --db-instance-identifier dr-api-db-read

# Check replication lag
aws cloudwatch get-metric-statistics \
  --namespace AWS/RDS \
  --metric-name ReplicaLag \
  --dimensions Name=DBInstanceIdentifier,Value=production-api-db-read1 \
  --start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
  --period 300 \
  --statistics Average \
  --output table

Snapshots and Point-in-Time Recovery

bash
# Create a manual snapshot
aws rds create-db-snapshot \
  --db-instance-identifier production-api-db \
  --db-snapshot-identifier production-api-db-pre-migration-$(date +%Y%m%d)

# Wait for snapshot to complete
aws rds wait db-snapshot-available \
  --db-snapshot-identifier production-api-db-pre-migration-20260324

# Restore from snapshot (creates a new instance)
aws rds restore-db-instance-from-db-snapshot \
  --db-instance-identifier production-api-db-restored \
  --db-snapshot-identifier production-api-db-pre-migration-20260324 \
  --db-instance-class db.r6g.large \
  --db-subnet-group-name production-db-subnets \
  --vpc-security-group-ids sg-db-access

# Point-in-time recovery (restore to a specific second)
aws rds restore-db-instance-to-point-in-time \
  --source-db-instance-identifier production-api-db \
  --target-db-instance-identifier production-api-db-pitr \
  --restore-time "2026-03-24T10:30:00Z" \
  --db-instance-class db.r6g.large \
  --db-subnet-group-name production-db-subnets

# Copy snapshot to another region
aws rds copy-db-snapshot \
  --source-db-snapshot-identifier arn:aws:rds:us-east-1:123456789012:snapshot:production-api-db-pre-migration-20260324 \
  --target-db-snapshot-identifier production-api-db-dr-copy \
  --region us-west-2 \
  --kms-key-id alias/rds-dr-key

# Delete old snapshots
aws rds delete-db-snapshot --db-snapshot-identifier old-snapshot-name

Monitoring and Alarms

bash
# Set CPU utilization alarm
aws cloudwatch put-metric-alarm \
  --alarm-name rds-production-cpu-high \
  --alarm-description "RDS CPU > 80% for 5 minutes" \
  --metric-name CPUUtilization \
  --namespace AWS/RDS \
  --dimensions Name=DBInstanceIdentifier,Value=production-api-db \
  --statistic Average \
  --period 300 \
  --threshold 80 \
  --comparison-operator GreaterThanThreshold \
  --evaluation-periods 1 \
  --alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts

# Set free storage space alarm (alert below 10 GB)
aws cloudwatch put-metric-alarm \
  --alarm-name rds-production-storage-low \
  --alarm-description "RDS free storage < 10GB" \
  --metric-name FreeStorageSpace \
  --namespace AWS/RDS \
  --dimensions Name=DBInstanceIdentifier,Value=production-api-db \
  --statistic Average \
  --period 300 \
  --threshold 10737418240 \
  --comparison-operator LessThanThreshold \
  --evaluation-periods 1 \
  --alarm-actions arn:aws:sns:us-east-1:123456789012:db-alerts

# Check current database connections
aws cloudwatch get-metric-statistics \
  --namespace AWS/RDS \
  --metric-name DatabaseConnections \
  --dimensions Name=DBInstanceIdentifier,Value=production-api-db \
  --start-time "$(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
  --period 300 \
  --statistics Average Maximum \
  --output table

Terraform RDS Example

hcl
resource "aws_db_subnet_group" "main" {
  name       = "production-db-subnets"
  subnet_ids = [aws_subnet.private_a.id, aws_subnet.private_b.id]

  tags = {
    Environment = "production"
  }
}

resource "aws_db_parameter_group" "postgres16" {
  name   = "production-pg16"
  family = "postgres16"

  parameter {
    name  = "max_connections"
    value = "200"
  }

  parameter {
    name         = "shared_buffers"
    value        = "{DBInstanceClassMemory/4}"
    apply_method = "pending-reboot"
  }

  parameter {
    name  = "log_min_duration_statement"
    value = "1000"
  }
}

resource "aws_db_instance" "main" {
  identifier     = "production-api-db"
  engine         = "postgres"
  engine_version = "16.4"
  instance_class = "db.r6g.large"

  allocated_storage     = 100
  max_allocated_storage = 500
  storage_type          = "gp3"
  storage_encrypted     = true
  kms_key_id            = aws_kms_key.rds.arn

  db_name  = "appdb"
  username = "appadmin"
  manage_master_user_password = true

  multi_az               = true
  db_subnet_group_name   = aws_db_subnet_group.main.name
  vpc_security_group_ids = [aws_security_group.db.id]
  parameter_group_name   = aws_db_parameter_group.postgres16.name

  backup_retention_period   = 14
  backup_window             = "03:00-04:00"
  maintenance_window        = "sun:05:00-sun:06:00"
  copy_tags_to_snapshot     = true
  deletion_protection       = true
  skip_final_snapshot       = false
  final_snapshot_identifier = "production-api-db-final"

  performance_insights_enabled          = true
  performance_insights_retention_period = 7
  monitoring_interval                   = 60
  monitoring_role_arn                   = aws_iam_role.rds_monitoring.arn

  enabled_cloudwatch_logs_exports = ["postgresql", "upgrade"]

  tags = {
    Environment = "production"
    Team        = "backend"
  }
}

resource "aws_db_instance" "read_replica" {
  identifier          = "production-api-db-read1"
  replicate_source_db = aws_db_instance.main.identifier
  instance_class      = "db.r6g.large"

  performance_insights_enabled = true
  monitoring_interval          = 60
  monitoring_role_arn          = aws_iam_role.rds_monitoring.arn
}

Troubleshooting

ProblemCauseFix
Cannot connect to RDSSecurity group blocks trafficVerify SG allows app subnet CIDR on DB port
Storage fullAuto-scaling not enabled or limit reachedSet --max-allocated-storage; increase manually
High replication lagWrite-heavy workload or replica undersizedUpgrade replica instance class; reduce write volume
Parameter change not appliedRequires reboot for static paramsReboot with --force-failover during maintenance window
Snapshot restore slowLarge database sizeUse larger instance class for restore; consider PITR
Performance Insights emptyNot enabled or instance type unsupportedEnable PI; check instance class supports it
Multi-AZ failover happenedHardware or AZ failureCheck RDS events; review failover logs
Connection count maxed outApplication connection leakImplement connection pooling (PgBouncer/RDS Proxy)
Master password unknownUsing managed secretRetrieve from Secrets Manager ARN in instance details
  • terraform-aws (terraform-aws) - IaC deployment for RDS
  • aws-vpc (aws-vpc) - Subnet groups and security groups
  • aws-iam (aws-iam) - RDS IAM authentication
  • aws-cost-optimization (aws-cost-optimization) - Reserved instances for RDS
  • aws-s3 (aws-s3) - Export snapshots to S3

Limitations

  • Infrastructure commands can disrupt services: confirm target host/scope and have backups/snapshots before mutating state.
  • Docs-only import: upstream scripts and templates not bundled.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/aws-rds of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 2 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

AWS Rds next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

AWS Rds compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AWS Rds this skillsickn33/agentic-awesome-skills47k2 repos~3.3kAutomated safety check: PassMIT
Memorains DB BackupredTreeOnWall/memorains124—~565Automated safety check: PassMIT
Cloud ArchitectJeffallan/claude-skills12k—~1.9kAutomated safety check: PassMIT
Rds Operation Reviewaws/tools-for-devops-agent100—~4.8kAutomated safety check: PassApache-2.0
Storage S3 Resiliency Expertiseaws/tools-for-devops-agent100—~2.8kAutomated safety check: PassApache-2.0
Rdsitsmostafa/aws-agent-skills1.2k—~2.4kAutomated safety check: PassMIT

Similar skills

  • Memorains DB Backup

    redTreeOnWall/memorains

    Back up the memorains production database and download the dump to the local backups/ directory.

    124 GitHub stars~565 tokensUpdated 3 days ago
    DevOps & CloudAuto-check passed
  • Cloud Architect

    Jeffallan/claude-skills

    Designs cloud architectures, migration plans, cost optimization recommendations and disaster recovery strategies across AWS, Azure and GCP.

    12k GitHub stars~1.9k tokensUpdated 5 days ago
    DevOps & CloudAuto-check passed
  • Rds Operation Review

    aws/tools-for-devops-agent

    Official

    Comprehensive Amazon RDS and Aurora operational review aligned with the AWS Well-Architected Framework and RDS/Aurora best practices.

    100 GitHub stars~4.8k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Storage S3 Resiliency Expertise

    aws/tools-for-devops-agent

    Official

    S3 resiliency, security, and data protection review. An agent skill from aws/tools-for-devops-agent.

    100 GitHub stars~2.8k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Rds

    itsmostafa/aws-agent-skills

    AWS RDS relational database service for managed databases. An agent skill from itsmostafa/aws-agent-skills.

    1.2k GitHub stars~2.4k tokensUpdated 3 days ago
    DevOps & CloudAuto-check passed
  • Planning Disaster Recovery

    ancoleman/ai-design-components

    Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing.

    526 GitHub stars~3.1k tokensUpdated 10 mo ago
    DevOps & CloudAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,354 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed
  • Content Creator

    sickn33/agentic-awesome-skills

    Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Questions about AWS Rds

What does AWS Rds do?

Provision and manage RDS databases. An agent skill from sickn33/agentic-awesome-skills. AWS Rds is an agent skill from sickn33/agentic-awesome-skills. Provision and manage RDS databases.

When should I use AWS Rds?

AWS Rds fits situations like: deploying managed relational databases on AWS; tasks that involve Backup and disaster recovery; tasks that involve Database administration.

How do I install AWS Rds in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a claude-code`. Or copy the skill folder (skills/aws-rds in sickn33/agentic-awesome-skills) into .claude/skills/aws-rds in your project. Claude Code loads it when a task matches its description.

How do I install AWS Rds in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a codex`. Or copy the skill folder (skills/aws-rds in sickn33/agentic-awesome-skills) into .agents/skills/aws-rds in your project. Codex loads it when a task matches its description.

Can I use AWS Rds in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill aws-rds -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-rds, .gemini/skills/aws-rds, .github/skills/aws-rds and .opencode/skills/aws-rds in your project.

What does AWS Rds need to run?

Going by SKILL.md and its folder, AWS Rds needs the command-line tools its instructions call (aws). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..

Does AWS Rds access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AWS Rds safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does AWS Rds use?

AWS Rds is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS Rds use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AWS Rds?

Skills that share tags, products or a category with AWS Rds: Memorains DB Backup (redTreeOnWall/memorains, 124 stars), Cloud Architect (Jeffallan/claude-skills, 12k stars), Rds Operation Review (aws/tools-for-devops-agent, 100 stars) and Storage S3 Resiliency Expertise (aws/tools-for-devops-agent, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AWS Rds?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.