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 aurora-dsqlgit 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/aurora-dsql)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/aurora-dsql"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aurora-dsql.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00192 | $0.08790 |
| Opus 5 | $0.00096 | $0.04395 |
| Sonnet 5 | $0.00038 | $0.01758 |
| Haiku 4.5 | $0.00019 | $0.00879 |
Grade A, and why
aurora-dsql 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 — 556 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Aurora DSQL
Overview
Aurora DSQL is a serverless, PostgreSQL-compatible distributed SQL database. This skill provides direct database interaction via psql scripts and PostgreSQL drivers, schema management, migration support, multi-tenant patterns, and query-plan explainability.
Key capabilities:
- Direct query execution via
psqlwith generated IAM auth tokens (seescripts/psql-connect.sh) - Schema management with DSQL constraints (one DDL per transaction, async indexes)
- Safe data migration (column-level, constraint-level, MySQL→DSQL)
- Multi-tenant isolation via
tenant_id+ parameterized SQL - IAM-based authentication with a 15-minute token expiry
- Query-plan diagnosis for slow queries (EXPLAIN ANALYZE + GUC experiments)
The recommended runtime is psql with aws dsql generate-db-connect-auth-token for IAM-authenticated sessions. Application code SHOULD use the language-specific DSQL Connectors and SDKs. For AWS knowledge lookups (service docs, AWS API calls), the AWS MCP Server is the preferred MCP integration.
Reference Files
Load these files as needed for detailed guidance:
development-guide.md
When: ALWAYS load before implementing schema changes or database operations Contains: Best Practices, DDL rules, connection patterns, transaction limits, data type serialization patterns, application-layer referential integrity instructions, security best practices
Query Execution:
database-tools.md
When: Load when you need detailed syntax and examples for ad-hoc query execution against DSQL. PREFER psql (via scripts/psql-connect.sh) for ad-hoc queries — execute directly rather than writing one-off scripts.
Contains: psql-based read-only and write patterns, transaction semantics, input validation
What ships with it
49 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/access-control.md 6.2 KB
- references/auth/authentication-guide.md 11 KB
- references/auth/connectivity-tools.md 1.4 KB
- references/auth/scaling-guide.md 5.2 KB
- references/database-tools.md 5.4 KB
- references/ddl-migrations/batched-migration.md 2.3 KB
- references/ddl-migrations/column-operations.md 4.9 KB
- references/ddl-migrations/constraint-operations.md 4.1 KB
- references/ddl-migrations/overview.md 9.9 KB
- references/development-guide.md 6.8 KB
- references/documentation-tools.md 3.5 KB
- references/dsql-examples.md 1.6 KB
- references/examples/connection.md 1.8 KB
- references/examples/data-operations.md 3.2 KB
- references/examples/migrations.md 1.6 KB
- references/examples/patterns.md 5.5 KB
- references/examples/schema.md 1.7 KB
- references/input-validation.md 5.7 KB
- references/language.md 8.1 KB
- references/mcp-setup.md 2.9 KB
- references/mcp-tools.md 3.7 KB
- references/mysql-migrations/ddl-auto-increment.md 4.7 KB
- references/mysql-migrations/ddl-batching.md 1.0 KB
- references/mysql-migrations/ddl-column-changes.md 1.1 KB
- references/mysql-migrations/ddl-constraints.md 2.4 KB
- references/mysql-migrations/ddl-operations.md 3.0 KB
- references/mysql-migrations/ddl-structural.md 3.4 KB
- references/mysql-migrations/ddl-type-alternatives.md 2.9 KB
- references/mysql-migrations/full-example.md 6.8 KB
- references/mysql-migrations/type-mapping.md 13 KB
- references/onboarding.md 15 KB
- references/platforms/claude-code.md 1.7 KB
- references/platforms/codex.md 686 B
- references/platforms/gemini.md 1.1 KB
- references/platforms/kiro.md 1.8 KB
- references/query-plan/catalog-queries.md 4.3 KB
- references/query-plan/guc-experiments.md 7.8 KB
- references/query-plan/plan-interpretation.md 7.8 KB
- references/query-plan/report-format.md 11 KB
- references/scripts-guide.md 6.1 KB
- references/troubleshooting.md 6.9 KB
- references/workflow-patterns.md 3.2 KB
- scripts/cluster-info.sh 2.1 KB runs code
- scripts/create-cluster.sh 4.6 KB runs code
- scripts/delete-cluster.sh 2.4 KB runs code
- scripts/list-clusters.sh 1.6 KB runs code
- scripts/psql-connect.sh 12 KB runs code
- scripts/safe_query.py 10 KB runs code
- scripts/tenant_query.py 1.9 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.
- 4d ago First seen · 556 lines · 192 tokens per session scan A c2bee64f8b26
aurora-dsql is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,550 stars, last pushed 3d ago), licensed Apache-2.0. It adds 192 tokens to every session and 8,790 once invoked, about $0.0010 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.
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 …
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…
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.
polar-local-environment
This skill should be used when setting up or managing Polar local development environment with Docker.