atmos-repo-review

atmos-repo-review is a skill for Claude Code from infraspecdev/tesseract. It costs 29 tokens per session (943 once invoked), scanned A, original, MIT.

A structured review workflow for Atmos repositories, which organize Terraform or OpenTofu infrastructure into reusable components and deployment stacks.

In plain words
What is it for?
Use it to inspect Atmos repository structure, assess infrastructure organization, create an analysis and plan, and optionally carry out the approved steps.
Why use it?
It gives infrastructure reviews a repeatable process and records both the findings and the proposed work in files.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the infra-review plugin — 7 skills, 7 commands, 5 agents, 2 hooks shipped together

Good fit Use it to inspect Atmos repository structure, assess infrastructure organization, create an analysis and plan, and optionally carry out the approved steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/infraspecdev/tesseract/atmos-repo-review
Install

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.

Any agent
npx skills add infraspecdev/tesseract --skill atmos-repo-review
Clone the repo
git clone --depth 1 https://github.com/infraspecdev/tesseract

Made for: Claude Code.

Or install infra-review, the plugin that ships this one along with the rest of its 7 skills, 7 commands, 5 agents, 2 hooks.

Wrote 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.

agentmods badge for atmos-repo-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/infraspecdev/tesseract/atmos-repo-review/github.svg)](https://agentmods.dev/skills/infraspecdev/tesseract/atmos-repo-review)
Your own site
<a href="https://agentmods.dev/skills/infraspecdev/tesseract/atmos-repo-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/atmos-repo-review/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.

agentmods 80×15 button for atmos-repo-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/infraspecdev/tesseract/atmos-repo-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/atmos-repo-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 943 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00943
Opus 5 $0.00015 $0.00472
Sonnet 5 $0.00006 $0.00189
Haiku 4.5 $0.00003 $0.00094

Measured 11d ago against content hash 1d20d606dc21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

atmos-repo-review 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 11d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

infra-review/skills/atmos-repo-review/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Atmos Repository Review

Overview

Structured review of Atmos infrastructure repositories with file-based analysis and implementation planning.

Core principle: Analysis and plans are ALWAYS persisted to files, even on re-reviews. Never skip writing files.

When to Use

  • Reviewing an Atmos components or stacks repository
  • Evaluating Terraform/OpenTofu infrastructure organization
  • Assessing IaC repository for Atmos best practices
  • Onboarding to understand existing Atmos setup
  • Re-grading after improvements (creates fresh analysis.md and plan.md)

When NOT to Use

  • Reviewing a single Terraform module that is not part of an Atmos repo
  • General Terraform code review without Atmos structure concerns
  • Reviewing Helm charts, Kubernetes manifests, or non-IaC code
  • Quick one-off questions about Atmos configuration syntax
  • The user explicitly asks for a non-structured review or casual feedback

Workflow

Explore -> Questions (skip if known) -> Evaluate -> Write analysis.md -> Write plan.md
  -> Ask User: [proceed | stop | edit plan] -> Review Plan -> Execute Step by Step

Critical Rules

  1. ALWAYS write analysis.md — Even on re-reviews, create fresh analysis
  2. ALWAYS write plan.md — Even if no P0 issues, document P1/P2 improvements
  3. ALWAYS ask user before executing — Never auto-proceed to execution
  4. Show the user what was written — Summarize key findings after writing files

Workflow Steps

1. Explore Repository

Use Glob, Read, and file exploration to understand structure. Check for: atmos.yaml, stacks/, components/terraform/, catalog/, CI/CD config, version constraints, provider/backend files, pre-commit hooks, terraform-docs setup, release tooling, and per-component versioning strategy.

Identify repo type: components-only, stacks-only, or monorepo.

2. Ask Clarifying Questions

On first review, ask 10-15 questions covering architecture, scale, operations, development, and governance. Skip on re-review if context is known. See templates.md for question categories.

Read the full file on GitHub · 87 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. 11d ago First seen · 87 lines · 29 tokens per session scan A 1d20d606dc21

Subscribe to this mod's changes

atmos-repo-review is a skill published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 943 once invoked, about $0.0001 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 2026-08-31.