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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cloudposse/atmosnpx agentmods add skills/cloudposse/atmos/atmos-packerWrote 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-packer)<a href="https://agentmods.dev/skills/cloudposse/atmos/atmos-packer"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-packer/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.
<a href="https://agentmods.dev/skills/cloudposse/atmos/atmos-packer"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-packer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.03411 |
| Opus 5.5 | $0.00011 | $0.01364 |
| Sonnet 5.5 | $0.00005 | $0.00682 |
| Haiku 4.5 | $0.00003 | $0.00341 |
Grade A, and why
atmos-packer 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 1mo 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 — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atmos Packer Orchestration
Atmos wraps the Packer CLI to provide stack-aware orchestration of machine image builds. Instead of manually managing variable files, template paths, and environment configuration for each Packer component, Atmos resolves the full configuration from stack manifests and handles all of these concerns automatically.
How Atmos Orchestrates Packer
When you run any atmos packer command, Atmos performs the following sequence:
- Resolves stack configuration -- Reads and deep-merges all stack manifests to produce the fully resolved configuration for the target component in the target stack.
- Generates variable file -- Writes a variable file containing all
varsdefined for the component in the stack, making them available to the Packer template. - Auto-provisions source (if configured) -- If the component has a
sourcefield and the target directory does not exist, Atmos downloads the component via JIT vendoring before proceeding. - Resolves template path -- Determines the Packer template to use from the
--templateflag,settings.packer.templatein the stack manifest, or defaults to.(all*.pkr.hclfiles). - Sets environment variables -- Applies any
envvalues defined in the stack configuration. - Executes the requested command -- Runs
packer init,build,validate,inspect, etc. with the generated variable file and any additional flags.
This means a single command like atmos packer build ubuntu-base -s ue2-dev replaces what would normally
require manually writing variable files, configuring paths, and running packer directly.
Stack Configuration
Packer components are configured under the components.packer section of stack manifests:
components:
packer:
ubuntu-base:
metadata:
type: real
component: ubuntu-base
settings: {}
vars:
ami_name: "ubuntu-base"
instance_type: "t3.medium"
source_ami_filter_name: "ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-*"
env:
PACKER_LOG: "1"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 460 lines · 27 tokens per session scan A 6be97246d592
atmos-packer is a skill published in the GitHub repository cloudposse/atmos (1,403 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 3,411 once invoked, about $0.0001 per session on Opus 5.5. 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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