aws

Guidance for using AWS services from Python with boto3 or from TypeScript with AWS SDK v3, including authentication and common service patterns.

In plain words
What is it for?
Working with S3, DynamoDB, Lambda, SQS, API Gateway, Secrets Manager, and Parameter Store, as well as handling credentials and throttling.
Why use it?
It helps avoid insecure credentials, unreliable message handling, and common errors when working with AWS services.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/kid-sid/codex-spellbook/aws
Any agent
npx skills add kid-sid/codex-spellbook --skill aws
Clone the repo
git clone --depth 1 https://github.com/kid-sid/codex-spellbook

Made for: Claude Code, Codex.

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,965 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00047 $0.04965
Opus 5 $0.00023 $0.02482
Sonnet 5 $0.00009 $0.00993
Haiku 4.5 $0.00005 $0.00496

Measured 2d ago against content hash 96c971bd5d5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

aws scanned grade C 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 2d 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

3. AWS config file: ~/.aws/credentials
skills/aws/SKILL.md · 565 lines

How it starts

The opening of the file, as written. The whole thing — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS SDK Patterns

Production patterns for AWS services using boto3 (Python) and AWS SDK v3 (TypeScript).

When to Activate

  • Writing code that imports boto3, @aws-sdk/*, or aws-sdk
  • Configuring authentication for AWS services (IAM roles, instance profiles, environment credentials)
  • Reading or writing objects in S3 with presigned URLs or multipart upload
  • Designing a DynamoDB table or writing query/scan access patterns
  • Writing Lambda handler functions or connecting them to SQS/S3/API Gateway triggers
  • Processing SQS messages with partial batch failure handling
  • Retrieving secrets from Secrets Manager or Parameter Store
  • Troubleshooting ClientError, credential resolution, or throttling

Authentication

Credential Chain (always prefer role-based auth)

boto3 and AWS SDK v3 resolve credentials in this order — the same code works locally and in production without changes:

1. Explicit credentials passed to client (avoid — hardcodes secrets)
2. Environment variables: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN
3. AWS config file: ~/.aws/credentials
4. IAM instance profile (EC2) / task role (ECS) / execution role (Lambda)
5. IAM Roles Anywhere / container credentials
# Python — boto3 picks up credentials automatically
import boto3

s3 = boto3.client("s3", region_name="us-east-1")  # uses credential chain

# BAD: hardcoded credentials
s3 = boto3.client("s3", aws_access_key_id="AKIA...", aws_secret_access_key="...")

# GOOD: explicit profile for local dev only
session = boto3.Session(profile_name="dev")
s3 = session.client("s3")
// TypeScript — SDK v3 uses same chain automatically
import { S3Client } from "@aws-sdk/client-s3";

const s3 = new S3Client({ region: "us-east-1" });  // no credentials needed

// Local dev with named profile
import { fromIni } from "@aws-sdk/credential-providers";
const s3 = new S3Client({
  region: "us-east-1",
  credentials: fromIni({ profile: "dev" }),
});

IAM Role Decision Matrix

Read the full file on GitHub · 565 lines

Changes

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.

  1. 2d ago First seen · 565 lines · 47 tokens per session scan C 96c971bd5d5e

Subscribe to this mod's changes

aws is a skill published in the GitHub repository kid-sid/codex-spellbook (21 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 4,965 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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