cloudx: Skill for Claude Code

.agents/skills/review-architecture/SKILL.md

review-architecture is a skill for Claude Code, Codex from davidomil/cloudx. It costs 24 tokens per session (194 once invoked), scanned A, original, MIT.

An architecture review step that checks whether a change belongs in the right part of a software system and preserves clear boundaries.

In plain words
What is it for?
It reviews module ownership, dependency direction, state authority, composition roots, shared contracts, adapters, browser/server boundaries, lifecycle behavior, and tests against the production code path.
Why use it?
It finds misplaced behavior, duplicated state, unsafe dependencies, and lifecycle or compatibility problems before they become harder to correct.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is davidomil/cloudx's own configuration. It tells Claude Code and Codex how to work on cloudx itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cloudx configures →

Reuse

Borrowing it

Nothing to install: this file belongs to davidomil/cloudx. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/davidomil/cloudx/main/.agents/skills/review-architecture/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/davidomil/cloudx

Made for: Claude Code, Codex.

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 review-architecture

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidomil/cloudx/review-architecture"><img src="https://agentmods.dev/badge/skills/davidomil/cloudx/review-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 194 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 $0.00024 $0.00194
Opus 5.5 $0.00010 $0.00078
Sonnet 5.5 $0.00005 $0.00039
Haiku 4.5 $0.00002 $0.00019

Measured 1mo ago against content hash ca012477dcff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-architecture 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.

.agents/skills/review-architecture/SKILL.md · 23 lines

What it actually says

Review Architecture

Use docs/architecture/module-ownership.md and docs/architecture/state-invariants.md as orientation, then trace the current implementation and consumers.

  • Check that persisted state and long-running resources have one clear owner.
  • Keep composition and transport adapters separate from feature behavior.
  • Look for duplicated domain decisions, circular dependencies, or abstractions without a concrete need.
  • Trace contract changes through both providers and consumers, including Node/Python boundaries and shared browser/server data.
  • Check failure, startup, shutdown, and cancellation behavior where affected.

Report concrete design risks with locations, impact, and evidence. Prefer the smallest correction that restores a clear boundary over a broad redesign. Machine output, when requested, follows docs/AI_CHANGE_PROCESS.md.

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. 1mo ago Changed · -15 lines · -1 tokens per session ca012477dcff
  2. 1mo ago First seen · 38 lines · 25 tokens per session scan A d3604aa41251

Subscribe to this mod's changes

review-architecture is a skill published in the GitHub repository davidomil/cloudx (1 stars, last pushed 9d ago), licensed MIT. It adds 24 tokens to every session and 194 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 2026-08-31.

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