Agent skill

Atmos AWS Security

by cloudposse in cloudposse/atmos

AWS security finding analysis: analyze findings, map to Atmos components/stacks, generate structured remediation with exact Terraform changes and deploy commands

Apache-2.0Auto-check passedDevOps & Cloud

Install Atmos AWS Security

skills CLI
$ npx skills add cloudposse/atmos --skill atmos-aws-security -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cloudposse/atmos atmos-aws-security --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cloudposse/atmos.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/skills/atmos-aws-security .claude/skills/atmos-aws-security && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
atmos-aws-security
GitHub stars
1.4k
Token cost
~867 tokens
SKILL.md length
375 words
Files
1
Skills in repo
70
Repo updated
First seen
Licence
Apache-2.0

At a glance

AWS security finding analysis: analyze findings, map to Atmos components/stacks, generate structured remediation with exact Terraform changes and deploy commands

  • Works in 3 steps: First step → Second step → Third step
  • Tasks that involve Cloud security
  • SKILL.md covers Output Format, Context You Receive and Analysis Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Atmos AWS Security is an agent skill from cloudposse/atmos. AWS security finding analysis: analyze findings, map to Atmos components/stacks, generate structured remediation with exact Terraform changes and deploy commands

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Cloud security and Infrastructure as code. It works with Terraform. The repository describes itself as: Atmos is the open-source runtime for infrastructure — it builds, authenticates, and ships Terraform, OpenTofu, Packer, Ansible, Kubernetes, Helm, and containers the same way on… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Cloud security
  • Tasks that involve Infrastructure as code

Example prompts

  • “/atmos-aws-security”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. First step
  2. Second step
  3. Third step

What it can do on your machine

Read from SKILL.md and the folder at commit 36726ae. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are hcl, yaml and bash).

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

  • Network

    No URLs in SKILL.md.

    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

Atmos AWS Security loads about 867 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 375 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~867

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from cloudposse/atmos at commit 36726ae, republished under its Apache-2.0 licence (© cloudposse). 375 words, ~867 tokens.

Download SKILL.mdSave it as .claude/skills/atmos-aws-security/SKILL.md (or your agent's skills folder).
name
atmos-aws-security
description
AWS security finding analysis: analyze findings, map to Atmos components/stacks, generate structured remediation with exact Terraform changes and deploy commands
metadata.copyright
Copyright Cloud Posse, LLC 2026
metadata.version
1.0.0
metadata.category
security

Atmos AWS Security Finding Analysis

You are analyzing AWS security findings that have been mapped to Atmos infrastructure components. Your job is to provide consistent, structured remediation guidance that follows an exact format.

Output Format

You MUST return your analysis using these exact section headers. Every section is required. The output is parsed programmatically — do not deviate from the format.

Root Cause

Explain WHY this finding exists in the infrastructure. Reference the specific Terraform resource or stack configuration that caused it. Be specific — name the resource type, the missing attribute, or the misconfigured setting.

Steps

Return an ordered list of remediation steps. Each step should be a concrete action. Use numbered list format:

  1. First step
  2. Second step
  3. Third step
Code Changes

Show the specific Terraform/HCL changes needed. Use the component source code provided in the context. Format as a diff or before/after:

hcl
# Before
resource "aws_s3_bucket" "this" {
  bucket = var.bucket_name
}

# After
resource "aws_s3_bucket" "this" {
  bucket = var.bucket_name
}

resource "aws_s3_bucket_versioning" "this" {
  bucket = aws_s3_bucket.this.id
  versioning_configuration {
    status = "Enabled"
  }
}
Stack Changes

Show the specific stack YAML changes needed. Reference the exact vars key to add or modify:

yaml
# stacks/deploy/prod/us-east-1.yaml
components:
  terraform:
    s3-bucket:
      vars:
        versioning_enabled: true
Deploy

Provide the exact atmos terraform apply command to deploy the fix:

bash
atmos terraform apply <component> -s <stack>
Risk

Rate the risk of applying this remediation: low, medium, or high.

  • low — Read-only change, no service disruption
  • medium — Config change that may cause brief disruption
  • high — Destructive change (resource replacement, data loss risk)
References

List relevant AWS documentation URLs, CIS benchmark controls, or compliance framework references.

Show full SKILL.md (153 more words)Show less

Context You Receive

For each finding, you will receive:

  1. Finding details — ID, title, description, severity, source service, resource ARN, region
  2. Component mapping — Atmos stack name, component name, component path, confidence level
  3. Component source — The main.tf content from the Terraform component (if available)
  4. Stack config — The resolved stack configuration for the component (if available)

Analysis Guidelines

  • Always reference the specific Terraform resource that needs to change.
  • If the component source is provided, reference actual variable names from the code.
  • If the component source is NOT provided, use common Cloud Posse component conventions.
  • The deploy command MUST use the exact stack and component names from the mapping.
  • For unmapped findings (no Atmos component identified), still provide general remediation but note that the component could not be automatically identified.
  • Prefer variable changes in stack YAML over direct Terraform code changes when possible (Atmos convention: configuration lives in stacks, not in component code).

© cloudposse, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in agent-skills/skills/atmos-aws-security of cloudposse/atmos.

Open the folder on GitHubat commit 36726ae

Compare with similar skills

Atmos AWS Security next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Atmos AWS Security compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Atmos AWS Security this skillcloudposse/atmos1.4k—~867Automated safety check: PassApache-2.0
Dd AWS Integrationdatadog-labs/agent-skills177—~6.8kAutomated safety check: NotesMIT
Config Scanjwynia/agent-skills166—~2kAutomated safety check: NotesMIT
Agent Bom Scan InfraLeoYeAI/openclaw-master-skills2.2k—~1.5kAutomated safety check: PassApache-2.0
Security Analyzeraiskillstore/marketplace430—~1.2kAutomated safety check: NotesNone
AWS Cloud Advisortech-leads-club/agent-skills7k—~2.1kAutomated safety check: PassCC-BY-4.0

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Works with

Questions about Atmos AWS Security

What does Atmos AWS Security do?

AWS security finding analysis: analyze findings, map to Atmos components/stacks, generate structured remediation with exact Terraform changes and deploy commands. Atmos AWS Security is an agent skill from cloudposse/atmos.

When should I use Atmos AWS Security?

Atmos AWS Security fits situations like: tasks that involve Cloud security; tasks that involve Infrastructure as code.

How do I install Atmos AWS Security in Claude Code?

Run `npx skills add cloudposse/atmos --skill atmos-aws-security -a claude-code`. Or copy the skill folder (agent-skills/skills/atmos-aws-security in cloudposse/atmos) into .claude/skills/atmos-aws-security in your project. Claude Code loads it when a task matches its description.

How do I install Atmos AWS Security in Codex?

Run `npx skills add cloudposse/atmos --skill atmos-aws-security -a codex`. Or copy the skill folder (agent-skills/skills/atmos-aws-security in cloudposse/atmos) into .agents/skills/atmos-aws-security in your project. Codex loads it when a task matches its description.

Can I use Atmos AWS Security in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cloudposse/atmos --skill atmos-aws-security -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/atmos-aws-security, .gemini/skills/atmos-aws-security, .github/skills/atmos-aws-security and .opencode/skills/atmos-aws-security in your project.

What does Atmos AWS Security need to run?

SKILL.md names no scripts, command-line tools or credentials: Atmos AWS Security is instructions for the agent only.

Does Atmos AWS Security access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Atmos AWS Security safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Atmos AWS Security use?

Atmos AWS Security is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Atmos AWS Security use?

About 867 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Atmos AWS Security?

Skills that share tags, products or a category with Atmos AWS Security: Dd AWS Integration (datadog-labs/agent-skills, 177 stars), Config Scan (jwynia/agent-skills, 166 stars), Agent Bom Scan Infra (LeoYeAI/openclaw-master-skills, 2.2k stars) and Security Analyzer (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Atmos AWS Security?

cloudposse (a GitHub organization) maintains it in cloudposse/atmos, which has 1,396 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 2026.

Source: cloudposse/atmos on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.