Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
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 aws/agent-toolkit-for-aws --skill rds-ossgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote 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/aws/agent-toolkit-for-aws/rds-oss)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/rds-oss"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/rds-oss/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.
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/rds-oss"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/rds-oss.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 121 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00229 | $0.05814 |
| Opus 5.5 | $0.00092 | $0.02326 |
| Sonnet 5.5 | $0.00046 | $0.01163 |
| Haiku 4.5 | $0.00023 | $0.00581 |
Grade A, and why
rds-oss 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 1mo 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RDS OSS Advisor (MySQL, MariaDB, PostgreSQL)
Overview
Advisor for Amazon RDS on the open-source engines — MySQL, MariaDB, and PostgreSQL. Five decision areas:
- Instance creation — provision production-ready instances with best-practice defaults (latest version, Multi-AZ, encryption, Performance Insights, Secrets Manager password management)
- Upgrade planning — identify instance, enumerate targets, run live prechecks, flag plan regressions, surface pre/post checklists
- Commitment pricing — estimate RI and Database Savings Plan savings for steady workloads
- RDS Proxy evaluation — decide whether proxy is worth it, based on connection utilization and pinning risks
- Blue/Green deployments — plan low-downtime DDL or major upgrades, with DDL compatibility analysis
Produces cost estimates, precheck findings, and CLI commands. For instance creation, executes the create-db-instance call with production best practices. For upgrades, purchases, and switchovers — advisory only, never executes without explicit user confirmation.
Scoped to RDS open-source engines. For Aurora, use amazon-aurora. For Oracle, SQL Server, Db2, use the engine-specific skills.
The AWS MCP server is recommended for executing commands but is not required; all operations can also be performed via the AWS CLI.
Decision Guide
| User asks about… | Go to |
|---|---|
| Create, provision, or set up a new RDS MySQL/MariaDB/PostgreSQL instance | Production Instance Creation below |
| Upgrade, target version, pre/post-upgrade checklist, upgrade prechecks, Read Replica upgrade order | references/upgrade-workflow.md |
| Reserved Instance, RI, Database Savings Plan, DSP, 1yr vs 3yr, Multi-AZ commitment, No/Partial/All Upfront | references/commitment-pricing-workflow.md |
| RDS Proxy, connection pooling, too many connections, Lambda DB connections, proxy pinning, PgBouncer vs Proxy | references/proxy-advisor-workflow.md |
| Blue/Green, zero-downtime DDL, switchover, schema change with minimal downtime, type change on production | references/bluegreen-advisor-workflow.md |
What ships with it
18 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.
- references/bluegreen-advisor-workflow.md 7.0 KB
- references/bluegreen-ddl-mysql.md 2.2 KB
- references/bluegreen-ddl-postgresql.md 4.3 KB
- references/commitment-basics.md 2.5 KB
- references/commitment-pricing-workflow.md 5.5 KB
- references/commitment-scenarios.md 2.7 KB
- references/proxy-advisor-workflow.md 7.6 KB
- references/proxy-pinning-mysql.md 2.8 KB
- references/proxy-pinning-postgresql.md 4.4 KB
- references/upgrade-post-checklist.md 5.7 KB
- references/upgrade-pre-checklist.md 7.1 KB
- references/upgrade-prechecks-mysql.md 6.0 KB
- references/upgrade-prechecks-postgresql.md 5.3 KB
- references/upgrade-query-load-mysql.md 1.8 KB
- references/upgrade-query-load-postgresql.md 1.8 KB
- references/upgrade-workflow.md 8.6 KB
- references/verify-dependencies.md 935 B
- scripts/rds_commitment_pricing_analyzer.py 16 KB runs code
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.
- 1mo ago First seen · 258 lines · 229 tokens per session scan A c032ab2a06e2
rds-oss is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 229 tokens to every session and 5,814 once invoked, about $0.0009 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 2026-09-03.
Other skills, from other repositories
alloydb-basics
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
postgresql-table-design
Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.
db-repair
Auto-fix gbrain's Postgres access so the brain stays available. When any gbrain command or MCP tool result carries a GBRAINDBACCESS marker (or an operator reports the brain database is down), run the hardcoded gbrain db-repair ladder: diagnose, apply the safe tier, verify. The action is ALWAYS the hardcoded command …
volcengine-rds-postgresql
A tool for operating PostgreSQL databases hosted by Volcano Engine's managed database service. PostgreSQL is a relational database used to store structured application data.
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…
analyzing-insights-across-teams
Analyze PostHog insights, dashboards, or teams beyond the current project by querying the prod Postgres replicas synced into the dogfood data warehouse (US project 2, "PostHog App + Website"). Use when asked to analyze insights across all teams or projects, another team's insights, or fleet-wide insight/dashboard…