Atmos is an infrastructure runtime that coordinates tools such as Terraform, OpenTofu, Kubernetes, Helm, Packer, Ansible, and containers through consistent commands and configuration. It is for teams running cloud infrastructure on laptops, in CI, or through AI agents across environments and regions. Its catalogue entries provide skills, agents, commands, and other add-ons for Atmos workflows.
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.
npx agentmods add skills/cloudposse/atmos/atmos-aws-securitynpx skills add cloudposse/atmos --skill atmos-aws-securitygit clone --depth 1 https://github.com/cloudposse/atmosWrote 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.
[](https://agentmods.dev/skills/cloudposse/atmos/atmos-aws-security)<a href="https://agentmods.dev/skills/cloudposse/atmos/atmos-aws-security"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-aws-security.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00744 |
| Opus 5 | $0.00015 | $0.00372 |
| Sonnet 5 | $0.00006 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
atmos-aws-security 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
- First step
- Second step
- 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:
# 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:
# 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:
atmos terraform apply <component> -s <stack>
Risk
Rate the risk of applying this remediation: low, medium, or high.
low— Read-only change, no service disruptionmedium— Config change that may cause brief disruptionhigh— Destructive change (resource replacement, data loss risk)
References
List relevant AWS documentation URLs, CIS benchmark controls, or compliance framework references.
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.
- 6d ago First seen · 110 lines · 31 tokens per session scan A 1ccab9d873d2
atmos-aws-security is a skill published in the GitHub repository cloudposse/atmos (1,372 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 744 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 2026-08-30.
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