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 skills add cloudposse/atmos --skill atmos-storesgit 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-stores)<a href="https://agentmods.dev/skills/cloudposse/atmos/atmos-stores"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-stores/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-stores"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-stores.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 447 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00050 | $0.04107 |
| Opus 5 | $0.00025 | $0.02054 |
| Sonnet 5 | $0.00010 | $0.00821 |
| Haiku 4.5 | $0.00005 | $0.00411 |
Grade A, and why
atmos-stores 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 9d 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 — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atmos External Stores
Stores are external key-value backends configured in atmos.yaml that enable components to share data outside of Terraform state. Atmos supports store providers including AWS SSM Parameter Store, AWS Secrets Manager, Azure Key Vault, Google Secret Manager, Redis, and JFrog Artifactory.
When to Use Stores
Use stores when you need to:
- Share data between components that is not managed by Terraform
- Access configuration from external systems (SSM, Azure Key Vault, Redis)
- Integrate with CI/CD pipelines that write to parameter stores
- Store and retrieve Terraform outputs via hooks for faster cross-component reads
- Share state across accounts, regions, or cloud providers
For Terraform-managed outputs, prefer !terraform.state (fastest) or !terraform.output. Use stores for external data or when you need a write-back mechanism via hooks.
Configuring Stores in atmos.yaml
All stores are declared under the top-level stores: key in atmos.yaml. Each store has a unique name, a kind, and provider-specific options. The legacy type field remains supported for compatibility, but kind is canonical:
# atmos.yaml
stores:
prod/ssm:
kind: aws/ssm
options:
region: us-east-1
prod/asm:
kind: aws/asm
options:
region: us-east-1
prod/azure:
kind: azure/keyvault
options:
vault_url: "https://my-keyvault.vault.azure.net/"
prod/gcp:
kind: gcp/secretmanager
options:
project_id: my-project
cache:
type: redis
options:
url: "redis://localhost:6379"
artifacts:
type: artifactory
options:
url: https://artifactory.example.com
repo_name: my-repo
Store Naming Convention
Store names follow the pattern <environment>/<type> by convention:
prod/ssm-- Production SSM Parameter Storedev/secrets-- Development secretsshared/config-- Shared configuration store
These names are referenced in !store function calls and hook configurations.
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.
- 9d ago First seen · 469 lines · 50 tokens per session scan A 7a88c70b0eb7
atmos-stores is a skill published in the GitHub repository cloudposse/atmos (1,376 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 4,107 once invoked, about $0.0003 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 2026-09-03.
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