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 BagelHole/DevOps-Security-Agent-Skills --skill aws-rdsgit clone --depth 1 https://github.com/BagelHole/DevOps-Security-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/bagelhole/devops-security-agent-skills/aws-rds)<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/aws-rds"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/aws-rds.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.03273 |
| Opus 5 | $0.00014 | $0.01636 |
| Sonnet 5 | $0.00006 | $0.00655 |
| Haiku 4.5 | $0.00003 | $0.00327 |
Grade A, and why
aws-rds 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.
How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
# 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
# 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
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.
- 4d ago First seen · 365 lines · 28 tokens per session scan A 6d090fe2fdc7
aws-rds is a skill published in the GitHub repository BagelHole/DevOps-Security-Agent-Skills (1,058 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 3,273 once invoked, about $0.0001 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 2026-09-03.
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