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-aws-ecrgit 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-ecr)<a href="https://agentmods.dev/skills/cloudposse/atmos/atmos-aws-ecr"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-aws-ecr/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-aws-ecr"><img src="https://agentmods.dev/badge/skills/cloudposse/atmos/atmos-aws-ecr.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 | $0.00036 | $0.00681 |
| Opus 5 | $0.00018 | $0.00341 |
| Sonnet 5 | $0.00007 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
atmos-aws-ecr 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Atmos AWS ECR
Use this skill for logging Docker clients into AWS Elastic Container Registry through Atmos.
It owns atmos aws ecr login.
Command Model
atmos aws ecr login supports three modes:
# Named integration from auth.integrations
atmos aws ecr login dev/ecr/primary
# All aws/ecr integrations linked to an identity
atmos aws ecr login --identity dev-admin
# Explicit registry URLs using current AWS credentials
atmos aws ecr login --registry 123456789012.dkr.ecr.us-east-1.amazonaws.com
Named integration and identity modes use Atmos Auth. Explicit --registry mode uses current AWS
credentials from the environment.
Configuration
Configure ECR integrations under auth.integrations with kind: aws/ecr. Route provider,
identity, AWS SSO, SAML, OIDC, assume role, and assume root details to atmos-auth.
auth:
providers:
company-sso:
kind: aws/iam-identity-center
region: us-east-1
start_url: https://company.awsapps.com/start/
identities:
dev-admin:
kind: aws/permission-set
via:
provider: company-sso
principal:
name: AdministratorAccess
account: dev
integrations:
dev/ecr/primary:
kind: aws/ecr
via:
identity: dev-admin
spec:
auto_provision: true
registry:
account_id: "123456789012"
region: us-east-2
Agent Guidance
- Prefer named integrations for stable registries; they make the account, region, and identity
explicit in
atmos.yaml. - Use
--identitywhen the intent is "log in to every ECR registry attached to this identity." - Use
--registryfor one-off registry URLs or when a script intentionally uses ambient AWS credentials instead of Atmos Auth. - ECR credentials are written to Docker's config location, respecting
DOCKER_CONFIGwhen set. SetDOCKER_CONFIGfirst when the workflow needs isolated credentials. spec.auto_provision: truetriggers ECR login duringatmos auth login; set it tofalsefor registries that should only be logged in explicitly.- If Docker, AWS CLI, or other tools must be installed for a CI job, route installation to
atmos-toolchain.
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.
- 10d ago First seen · 88 lines · 36 tokens per session scan A 5c52c1b572a1
atmos-aws-ecr is a skill published in the GitHub repository cloudposse/atmos (1,374 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 681 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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