aws-s3

aws-s3 is a skill for Claude Code, Codex from BagelHole/DevOps-Security-Agent-Skills. It costs 32 tokens per session (3,093 once invoked), scanned A, original, MIT.

Amazon S3 is AWS object storage for files and other data, organised into containers called buckets. It supports access rules, encryption, version history, replication, and automatic storage cleanup.

In plain words
What is it for?
Use it to create and secure buckets, write access policies, generate temporary download links, host static websites, replicate data, and troubleshoot access errors.
Why use it?
It helps store private or public data safely without manually managing storage servers. It also helps recover older files and move rarely used data to cheaper storage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create and secure buckets, write access policies, generate temporary download links, host static websites, replicate data, and troubleshoot access errors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bagelhole/devops-security-agent-skills/aws-s3
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.

Any agent
npx skills add BagelHole/DevOps-Security-Agent-Skills --skill aws-s3
Clone the repo
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for aws-s3

README.md
[![agentmods](https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/aws-s3/github.svg)](https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/aws-s3)
Your own site
<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/aws-s3"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/aws-s3/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.

agentmods 80×15 button for aws-s3

Your own site · 80×15
<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/aws-s3"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/aws-s3.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,093 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, 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 Tool Misuse · line 290
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Data Exfiltration · line 276
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Data Exfiltration · line 283
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Data Exfiltration · line 408
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
How audits are shown
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 5.1 $0.00032 $0.03093
Opus 5 $0.00016 $0.01546
Sonnet 5 $0.00006 $0.00619
Haiku 4.5 $0.00003 $0.00309

Measured 7d ago against content hash 377f4dc615ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aws-s3 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 7d 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.

infrastructure/cloud-aws/aws-s3/SKILL.md · 419 lines

How it starts

The opening of the file, as written. The whole thing — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS S3

Manage Amazon S3 object storage with production-grade security, lifecycle policies, replication, and access controls.

When to Use This Skill

  • Creating S3 buckets with security hardening (encryption, public access block, versioning)
  • Writing bucket policies to enforce HTTPS, restrict IP ranges, or grant cross-account access
  • Setting up lifecycle rules to transition objects between storage classes
  • Configuring cross-region replication for disaster recovery
  • Generating presigned URLs for temporary access to private objects
  • Setting up static website hosting or CloudFront origins
  • Troubleshooting access denied errors or policy conflicts

Prerequisites

  • AWS CLI v2 installed and configured
  • IAM permissions: s3:*, s3-object-lambda:*, kms:* (for SSE-KMS)
  • For replication: IAM role with replication permissions and destination bucket in target region
  • For logging: a separate logging bucket with appropriate ACL

Create and Secure a Bucket

# Create a bucket (us-east-1 does not need LocationConstraint)
aws s3api create-bucket \
  --bucket my-app-data-prod \
  --region us-east-1

# Create a bucket in another region
aws s3api create-bucket \
  --bucket my-app-data-dr \
  --region us-west-2 \
  --create-bucket-configuration LocationConstraint=us-west-2

# Block ALL public access (always do this first)
aws s3api put-public-access-block \
  --bucket my-app-data-prod \
  --public-access-block-configuration '{
    "BlockPublicAcls": true,
    "IgnorePublicAcls": true,
    "BlockPublicPolicy": true,
    "RestrictPublicBuckets": true
  }'

# Enable versioning
aws s3api put-bucket-versioning \
  --bucket my-app-data-prod \
  --versioning-configuration Status=Enabled

# Enable server-side encryption with SSE-KMS
aws s3api put-bucket-encryption \
  --bucket my-app-data-prod \
  --server-side-encryption-configuration '{
    "Rules": [{
      "ApplyServerSideEncryptionByDefault": {
        "SSEAlgorithm": "aws:kms",
        "KMSMasterKeyID": "alias/s3-key"
      },
      "BucketKeyEnabled": true
    }]
  }'

# Enable access logging
aws s3api put-bucket-logging \
  --bucket my-app-data-prod \
  --bucket-logging-status '{
    "LoggingEnabled": {
      "TargetBucket": "my-access-logs-bucket",
      "TargetPrefix": "s3-logs/my-app-data-prod/"
    }
  }'

# Add tags
aws s3api put-bucket-tagging \
  --bucket my-app-data-prod \
  --tagging '{
    "TagSet": [
      {"Key": "Environment", "Value": "production"},
      {"Key": "Team", "Value": "platform"},
      {"Key": "DataClassification", "Value": "confidential"}
    ]
  }'

Read the full file on GitHub · 419 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. 7d ago First seen · 419 lines · 32 tokens per session scan A 377f4dc615ec

Subscribe to this mod's changes

aws-s3 is a skill published in the GitHub repository BagelHole/DevOps-Security-Agent-Skills (1,071 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 3,093 once invoked, about $0.0002 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.

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