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Aws S3

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BagelHole
aws-s3

Configure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameaws-s3
Stars
1.1K
Forks
161
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Aws S3 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-s3
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/cloud-aws/aws-s3 .claude/skills/aws-s3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws S3 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws S3 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws S3 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

bash
# 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"}
    ]
  }'

Bucket Policies

bash
# Apply a bucket policy (enforce HTTPS and restrict to VPC endpoint)
aws s3api put-bucket-policy \
  --bucket my-app-data-prod \
  --policy '{
    "Version": "2012-10-17",
    "Statement": [
      {
        "Sid": "DenyInsecureTransport",
        "Effect": "Deny",
        "Principal": "*",
        "Action": "s3:*",
        "Resource": [
          "arn:aws:s3:::my-app-data-prod",
          "arn:aws:s3:::my-app-data-prod/*"
        ],
        "Condition": {
          "Bool": {"aws:SecureTransport": "false"}
        }
      },
      {
        "Sid": "RestrictToVPCEndpoint",
        "Effect": "Deny",
        "Principal": "*",
        "Action": "s3:*",
        "Resource": [
          "arn:aws:s3:::my-app-data-prod",
          "arn:aws:s3:::my-app-data-prod/*"
        ],
        "Condition": {
          "StringNotEquals": {
            "aws:sourceVpce": "vpce-abc123"
          }
        }
      }
    ]
  }'

Cross-account access policy:

json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "CrossAccountRead",
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::987654321098:role/DataAnalystRole"
      },
      "Action": [
        "s3:GetObject",
        "s3:ListBucket"
      ],
      "Resource": [
        "arn:aws:s3:::my-app-data-prod",
        "arn:aws:s3:::my-app-data-prod/shared/*"
      ]
    }
  ]
}

Lifecycle Rules

bash
# Apply a comprehensive lifecycle configuration
aws s3api put-bucket-lifecycle-configuration \
  --bucket my-app-data-prod \
  --lifecycle-configuration '{
    "Rules": [
      {
        "ID": "TierDownOldData",
        "Status": "Enabled",
        "Filter": {"Prefix": "data/"},
        "Transitions": [
          {"Days": 30, "StorageClass": "STANDARD_IA"},
          {"Days": 90, "StorageClass": "GLACIER_IR"},
          {"Days": 180, "StorageClass": "GLACIER"},
          {"Days": 365, "StorageClass": "DEEP_ARCHIVE"}
        ]
      },
      {
        "ID": "ExpireLogs",
        "Status": "Enabled",
        "Filter": {"Prefix": "logs/"},
        "Expiration": {"Days": 90},
        "Transitions": [
          {"Days": 7, "StorageClass": "STANDARD_IA"},
          {"Days": 30, "StorageClass": "GLACIER"}
        ]
      },
      {
        "ID": "CleanupOldVersions",
        "Status": "Enabled",
        "Filter": {"Prefix": ""},
        "NoncurrentVersionTransitions": [
          {"NoncurrentDays": 30, "StorageClass": "STANDARD_IA"},
          {"NoncurrentDays": 90, "StorageClass": "GLACIER"}
        ],
        "NoncurrentVersionExpiration": {"NoncurrentDays": 180}
      },
      {
        "ID": "AbortIncompleteUploads",
        "Status": "Enabled",
        "Filter": {"Prefix": ""},
        "AbortIncompleteMultipartUpload": {"DaysAfterInitiation": 7}
      },
      {
        "ID": "ExpireDeleteMarkers",
        "Status": "Enabled",
        "Filter": {"Prefix": ""},
        "Expiration": {"ExpiredObjectDeleteMarker": true}
      }
    ]
  }'

Cross-Region Replication

bash
# Enable replication (requires versioning on both buckets)
aws s3api put-bucket-replication \
  --bucket my-app-data-prod \
  --replication-configuration '{
    "Role": "arn:aws:iam::123456789012:role/S3ReplicationRole",
    "Rules": [
      {
        "ID": "ReplicateAll",
        "Status": "Enabled",
        "Priority": 1,
        "Filter": {"Prefix": ""},
        "Destination": {
          "Bucket": "arn:aws:s3:::my-app-data-dr",
          "StorageClass": "STANDARD_IA",
          "EncryptionConfiguration": {
            "ReplicaKmsKeyID": "arn:aws:kms:us-west-2:123456789012:key/dr-key-id"
          },
          "Metrics": {"Status": "Enabled", "EventThreshold": {"Minutes": 15}},
          "ReplicationTime": {"Status": "Enabled", "Time": {"Minutes": 15}}
        },
        "DeleteMarkerReplication": {"Status": "Enabled"},
        "SourceSelectionCriteria": {
          "SseKmsEncryptedObjects": {"Status": "Enabled"}
        }
      }
    ]
  }'

# Check replication status
aws s3api head-object \
  --bucket my-app-data-prod \
  --key data/important-file.json \
  --query "ReplicationStatus"

Presigned URLs

bash
# Generate a presigned URL for downloading (valid 1 hour)
aws s3 presign s3://my-app-data-prod/reports/quarterly.pdf \
  --expires-in 3600

# Generate a presigned URL for uploading
aws s3 presign s3://my-app-data-prod/uploads/user-file.zip \
  --expires-in 3600

# Presigned URL with specific content type (using the API directly)
aws s3api generate-presigned-url \
  --client-method put_object \
  --params '{"Bucket":"my-app-data-prod","Key":"uploads/photo.jpg","ContentType":"image/jpeg"}' \
  --expires-in 3600

Common S3 Operations

bash
# Sync a local directory to S3
aws s3 sync ./build s3://my-app-data-prod/static/ \
  --delete \
  --exclude "*.tmp" \
  --cache-control "max-age=31536000" \
  --content-encoding "gzip"

# Copy with storage class
aws s3 cp large-archive.tar.gz s3://my-app-data-prod/archives/ \
  --storage-class GLACIER_IR

# List objects with size summary
aws s3 ls s3://my-app-data-prod/ --recursive --summarize --human-readable

# Remove all objects with a prefix
aws s3 rm s3://my-app-data-prod/temp/ --recursive

# Get bucket size via CloudWatch (most efficient for large buckets)
aws cloudwatch get-metric-statistics \
  --namespace AWS/S3 \
  --metric-name BucketSizeBytes \
  --dimensions Name=BucketName,Value=my-app-data-prod Name=StorageType,Value=StandardStorage \
  --start-time "$(date -u -d '2 days ago' +%Y-%m-%dT%H:%M:%SZ)" \
  --end-time "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
  --period 86400 \
  --statistics Average \
  --output table

Terraform S3 Bucket

hcl
resource "aws_s3_bucket" "main" {
  bucket = "my-app-data-prod"

  tags = {
    Environment        = "production"
    DataClassification = "confidential"
  }
}

resource "aws_s3_bucket_versioning" "main" {
  bucket = aws_s3_bucket.main.id
  versioning_configuration {
    status = "Enabled"
  }
}

resource "aws_s3_bucket_public_access_block" "main" {
  bucket = aws_s3_bucket.main.id

  block_public_acls       = true
  block_public_policy     = true
  ignore_public_acls      = true
  restrict_public_buckets = true
}

resource "aws_s3_bucket_server_side_encryption_configuration" "main" {
  bucket = aws_s3_bucket.main.id

  rule {
    apply_server_side_encryption_by_default {
      sse_algorithm     = "aws:kms"
      kms_master_key_id = aws_kms_key.s3.arn
    }
    bucket_key_enabled = true
  }
}

resource "aws_s3_bucket_lifecycle_configuration" "main" {
  bucket = aws_s3_bucket.main.id

  rule {
    id     = "tier-down"
    status = "Enabled"

    transition {
      days          = 30
      storage_class = "STANDARD_IA"
    }

    transition {
      days          = 90
      storage_class = "GLACIER"
    }

    noncurrent_version_transition {
      noncurrent_days = 30
      storage_class   = "GLACIER"
    }

    noncurrent_version_expiration {
      noncurrent_days = 180
    }

    abort_incomplete_multipart_upload {
      days_after_initiation = 7
    }
  }
}

resource "aws_s3_bucket_policy" "enforce_https" {
  bucket = aws_s3_bucket.main.id

  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [{
      Sid       = "DenyInsecureTransport"
      Effect    = "Deny"
      Principal = "*"
      Action    = "s3:*"
      Resource  = [
        aws_s3_bucket.main.arn,
        "${aws_s3_bucket.main.arn}/*"
      ]
      Condition = {
        Bool = { "aws:SecureTransport" = "false" }
      }
    }]
  })
}

Troubleshooting

ProblemCauseFix
Access Denied on GetObjectBucket policy or IAM denies accessCheck bucket policy, IAM policy, and public access block
Access Denied on PutObjectMissing encryption header when requiredAdd SSE header; check bucket policy encryption conditions
403 on presigned URLURL expired or wrong regionRegenerate; ensure region matches bucket region
Replication not workingVersioning disabled on source or destEnable versioning on both buckets
Lifecycle not transitioningRule filter does not match objectsVerify prefix and tag filters; check rule status
Bucket delete failsBucket not empty or has versioned objectsDelete all objects and versions first; disable versioning
Slow uploads for large filesSingle-part uploadUse aws s3 cp (auto multipart) or set multipart threshold
Cross-account access deniedBoth bucket policy AND IAM policy neededGrant in bucket policy and in caller's IAM policy
Object Lock prevents deletionGovernance or compliance mode activeUse governance bypass (with permission) or wait for retention

Related Skills

Frequently asked questions

What does the Aws S3 AI skill do?

Configure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.

Why use Aws S3 on TypingMind?

Because you install it once and use it with any model. Aws S3 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws S3 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/aws-s3. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws S3?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws S3?

As many as you like. As long as a model supports skills, you can use Aws S3 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws S3 AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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