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 amazon-documentdbgit 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/amazon-documentdb)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/amazon-documentdb"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/amazon-documentdb/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/amazon-documentdb"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/amazon-documentdb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Privilege Escalation · line 127 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00210 | $0.05443 |
| Opus 5.5 | $0.00084 | $0.02177 |
| Sonnet 5.5 | $0.00042 | $0.01089 |
| Haiku 4.5 | $0.00021 | $0.00544 |
Grade A, and why
amazon-documentdb scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- You MUST check `git`, `curl`, `mongosh`, and `ssh` only when a specific workflow requires them How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon DocumentDB Toolkit
Overview
End-to-end DocumentDB toolkit covering seven workflows: connection (serverless-default cluster setup, TLS, VPC, driver config), schema design (embed-vs-reference, indexes, vector search for RAG), compatibility assessment (MongoDB -> DocumentDB), migration (DMS full-load + CDC + cutover), performance tuning (explain, COLLSCAN, anti-patterns), Well-Architected review (41 checks across 6 pillars), and major version upgrade (4.0->5.0, 5.0->8.0 in-place or near-zero-downtime).
The skill acts as an executor — it runs AWS CLI commands, DMS tasks, index tools, and explain() against the user's cluster rather than just advising. Each workflow produces concrete artifacts under artifacts/{app-name}/.
The AWS MCP server is recommended for executing AWS commands via its call_aws tool (sandboxed execution, audit logging), but it is not required — when the MCP server is not available, the same aws ... CLI commands run via shell.
Decision Guide
| User asks about… | Route to |
|---|---|
| Get started, create cluster, can't connect, TLS/SSL error, VPC, SSH tunnel, driver config | references/connection.md, references/connection-drivers.md |
| Store JSON, flexible schema, catalog/CMS/profiles, embed vs reference, index design, vector search, RAG | references/schema-advisor.md |
| Migrate from MongoDB, "will this work?", unsupported operator, aggregation pipeline gap | references/compatibility.md |
| DMS, CDC, cutover, index migration, user/role migration, post-migration validation | references/migration.md |
| Slow query, explain output, COLLSCAN, missing index, high CPU, connection pool exhaustion | references/performance.md |
Production-ready review, best-practice audit, security/cost/reliability review, health check — extract cluster_id and region from the user's message before loading this reference |
references/well-architected.md |
Major version upgrade, MVU, 4.0->5.0, 5.0->8.0, near-zero-downtime, $vectorSearch, Zstd |
references/upgrade.md |
| Estimate cost, size a new workload, compare DocumentDB vs MongoDB pricing | Surface the DocumentDB Cost Estimator — it accepts MongoDB ops/sec, storage, and I/O inputs and produces a DocumentDB vs MongoDB cost comparison in minutes. Faster than a full WA review when the user just wants a cost estimate. |
What ships with it
10 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/compatibility.md 7.9 KB
- references/connection-drivers.md 5.4 KB
- references/connection.md 8.8 KB
- references/migration.md 10 KB
- references/performance.md 5.3 KB
- references/schema-advisor.md 7.3 KB
- references/troubleshooting.md 6.9 KB
- references/upgrade.md 7.5 KB
- references/well-architected.md 5.8 KB
- scripts/wa_review.py 47 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 · 215 lines · 210 tokens per session scan A 75362c985e59
amazon-documentdb 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 210 tokens to every session and 5,443 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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