AWS CLI Beast

What it does

When your agent uses it

• Aws command line
• Aws batch operations
• Aws bulk operations
• Aws cli pagination

Example prompts

• “aws cli help”
• “aws command line”
• “aws scripting”
• “/aws-cli-beast”

Requirements

• A Bash shell
• Pre-approved tools (allowed-tools): Read, Write, Bash

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Categorize the Request
2. 2Apply Beast Mode Principles
3. 3Validate Destructive Operations
4. 4Reference Detailed Guides

What it can do on your machine

Read from SKILL.md and the folder at commit fe73fb3. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Bash

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 2 files in scripts/ (Shell), which the agent can run.

  Shell commands in SKILL.md call:

  • aws

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AWS CLI Beast loads about 1.7k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 123 tokens; SKILL.md has 429 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~123

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from giuseppe-trisciuoglio/developer-kit at commit fe73fb3, republished under its MIT licence (© giuseppe-trisciuoglio). 429 words, ~1,699 tokens.

name

aws-cli-beast

description

Provides advanced AWS CLI patterns for managing EC2, Lambda, S3, DynamoDB, RDS, VPC, IAM, and CloudWatch. Generates bulk operation scripts, automates cross-service workflows, validates security configurations, and executes JMESPath queries for complex filtering. Triggers on "aws cli help", "aws command line", "aws scripting", "aws automation", "aws batch operations", "aws bulk operations", "aws cli pagination", "aws multi-region", "aws profiles", "aws cli troubleshooting".

allowed-tools

Read, Write, Bash

# S3 sync with delete - MUST dry-run first
aws s3 sync s3://source/ s3://dest/ --delete --dryrun
# Review output, then remove --dryrun only if satisfied

# Bulk EC2 stop - validate targets first
aws ec2 describe-instances \
  --filters "Name=tag:Environment,Values=development" \
  --query 'Reservations[].Instances[?State.Name==`running`].InstanceId' \
  --output text
# Confirm list, then pipe to stop command

# IAM policy attachment - simulate first
aws iam simulate-principal-policy \
  --policy-source-arn arn:aws:iam::123456789012:user/myuser \
  --action-names s3:DeleteObject \
  --resource-arns arn:aws:s3:::my-bucket/*

# 1. Dry-run: identify targets
aws ec2 describe-instances \
  --filters "Name=tag:Environment,Values=development" \
           "Name=instance-state-name,Values=running" \
  --query 'Reservations[].Instances[].InstanceId' \
  --output text

# 2. Confirm IDs, then execute
aws ec2 describe-instances \
  --filters "Name=tag:Environment,Values=development" \
           "Name=instance-state-name,Values=running" \
  --query 'Reservations[].Instances[].InstanceId' \
  --output text | xargs aws ec2 stop-instances --instance-ids

# 1. Dry-run migration
aws s3 sync s3://source-bucket/ s3://dest-bucket/ \
  --sse AES256 \
  --storage-class GLACIER \
  --exclude "*.tmp" \
  --dryrun

# 2. Enable versioning on destination
aws s3api put-bucket-versioning \
  --bucket dest-bucket \
  --versioning-configuration Status=Enabled

# 3. Execute after review
aws s3 sync s3://source-bucket/ s3://dest-bucket/ \
  --sse AES256 \
  --storage-class GLACIER \
  --exclude "*.tmp"

aws iam list-users --query 'Users[].UserName' --output text | \
while read user; do
  echo "Checking $user..."
  aws iam simulate-principal-policy \
    --policy-source-arn "arn:aws:iam::123456789012:user/$user" \
    --action-names DeleteItem,DeleteTable,DeleteFunction \
    --resource-arns "*" \
    --query 'EvaluationResults[?EvalDecision==`allowed`]'
done

for region in us-east-1 us-west-2 eu-west-1; do
  echo "Deploying to $region..."
  aws lambda update-function-code \
    --function-name my-function \
    --zip-file fileb://function.zip \
    --region $region \
    --publish
  aws lambda wait function-active \
    --function-name my-function \
    --region $region
done

aws ec2 describe-instances \
  --query 'Reservations[].Instances[?State.Name==`running`].[InstanceId,Tags[?Key==`Name`].Value[0]|[0],PrivateIpAddress]' \
  --output table

© giuseppe-trisciuoglio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in plugins/developer-kit-aws/skills/aws/aws-cli-beast of giuseppe-trisciuoglio/developer-kit.

• SKILL.md
• references/automation-patterns.md
• references/compute-mastery.md
• references/data-ops-beast.md
• references/networking-security-hardened.md
• scripts/aws-blast.sh
• scripts/jmespath-templates.json

Open the folder on GitHubat commit fe73fb3