AWS Agent Skills is a collection of local instructions that help coding agents reason about AWS cloud services and engineering tasks. It supports agents working with areas such as identity, compute, storage, serverless, databases, networking, and security. The catalogue contains 18 service-focused skills and one plugin for using these capabilities with coding agents.
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 itsmostafa/aws-agent-skills --skill dynamodbgit clone --depth 1 https://github.com/itsmostafa/aws-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/itsmostafa/aws-agent-skills/dynamodb)<a href="https://agentmods.dev/skills/itsmostafa/aws-agent-skills/dynamodb"><img src="https://agentmods.dev/badge/skills/itsmostafa/aws-agent-skills/dynamodb/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/itsmostafa/aws-agent-skills/dynamodb"><img src="https://agentmods.dev/badge/skills/itsmostafa/aws-agent-skills/dynamodb.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.02480 |
| Opus 5.5 | $0.00016 | $0.00992 |
| Sonnet 5.5 | $0.00008 | $0.00496 |
| Haiku 4.5 | $0.00004 | $0.00248 |
Grade A, and why
dynamodb 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 — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service providing fast, predictable performance at any scale. It supports key-value and document data structures.
Table of Contents
Core Concepts
Keys
| Key Type | Description |
|---|---|
| Partition Key (PK) | Required. Determines data distribution |
| Sort Key (SK) | Optional. Enables range queries within partition |
| Composite Key | PK + SK combination |
Secondary Indexes
| Index Type | Description |
|---|---|
| GSI (Global Secondary Index) | Different PK/SK, separate throughput, eventually consistent |
| LSI (Local Secondary Index) | Same PK, different SK, shares table throughput, strongly consistent option |
Capacity Modes
| Mode | Use Case |
|---|---|
| On-Demand | Unpredictable traffic, pay-per-request |
| Provisioned | Predictable traffic, lower cost, can use auto-scaling |
Common Patterns
Create a Table
AWS CLI:
aws dynamodb create-table \
--table-name Users \
--attribute-definitions \
AttributeName=PK,AttributeType=S \
AttributeName=SK,AttributeType=S \
--key-schema \
AttributeName=PK,KeyType=HASH \
AttributeName=SK,KeyType=RANGE \
--billing-mode PAY_PER_REQUEST
boto3:
import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.create_table(
TableName='Users',
KeySchema=[
{'AttributeName': 'PK', 'KeyType': 'HASH'},
{'AttributeName': 'SK', 'KeyType': 'RANGE'}
],
AttributeDefinitions=[
{'AttributeName': 'PK', 'AttributeType': 'S'},
{'AttributeName': 'SK', 'AttributeType': 'S'}
],
BillingMode='PAY_PER_REQUEST'
)
table.wait_until_exists()
Basic CRUD Operations
What ships with it
1 file 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.
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 · 383 lines · 39 tokens per session scan A 0a5eecb00ecf
dynamodb is a skill published in the GitHub repository itsmostafa/aws-agent-skills (1,169 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 2,480 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
aws-essentials
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dynamodb
Use when modeling or operating a DynamoDB table: deriving partition/sort keys from access patterns, single-table vs table-per-entity, adding a GSI/LSI, on-demand vs provisioned capacity, or diagnosing hot-partition throttling. NOT relational schema/SQL/EXPLAIN (that is postgresdb), NOT aggregation-pipeline document…
using-datavault4dbt
Builds Data Vault 2 models in dbt with the datavault4dbt package — staging, hubs, links, satellites, and business-vault entities — using the YAML-metadata macro pattern with correct hashkeys, hashdiffs, naming, and materializations. Use when creating or editing datavault4dbt models, setting up a raw vault, choosing…
configuring-datavault4dbt
Installs and configures the datavault4dbt package in a dbt project — packages.yml, copying the global vars into dbtproject.yml, hash and naming settings, and per-adapter setup. Use when setting up datavault4dbt, installing the package, changing hash/naming global variables, or adapting configuration for a specific…
rehashing-datavault4dbt-entities
Recalculates hashkeys and hashdiffs across an existing raw vault with datavault4dbt's rehashing macros after a change to the hash algorithm, datatype, trimming, or case sensitivity — including the v1→v2.0.0 upgrade. Use when changing hash global variables, migrating hash logic, or upgrading datavault4dbt without…
testing-a-datavault4dbt-project
Adds Data Vault 2 technical tests to a datavault4dbt project — hashkey uniqueness and not-null, link-to-hub referential integrity, and satellite key+load-date uniqueness — as dbt soft-constraint tests in YAML. Use when adding or reviewing tests for hubs, links, or satellites, or validating raw vault integrity.