architecture-review

architecture-review is a skill for Claude Code, Codex from omergocmen/vibe-coder-kit. It costs 57 tokens per session (1,451 once invoked), scanned A, original, MIT.

A design-checking guide for reviewing an implementation plan before coding begins. It looks for unnecessary complexity, tangled dependencies, missing failure cases, security gaps, and scaling problems.

In plain words
What is it for?
Use it to review plans for major refactors, new external services, integrations, or competing technical approaches.
Why use it?
It helps catch serious design problems while they are still cheap to fix, before code makes the wrong approach harder to change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review plans for major refactors, new external services, integrations…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/omergocmen/vibe-coder-kit/architecture-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 omergocmen/vibe-coder-kit --skill architecture-review
Clone the repo
git clone --depth 1 https://github.com/omergocmen/vibe-coder-kit

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 architecture-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/omergocmen/vibe-coder-kit/architecture-review.svg)](https://agentmods.dev/skills/omergocmen/vibe-coder-kit/architecture-review)
Your own site
<a href="https://agentmods.dev/skills/omergocmen/vibe-coder-kit/architecture-review"><img src="https://agentmods.dev/badge/skills/omergocmen/vibe-coder-kit/architecture-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,451 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 $0.00057 $0.01451
Opus 5 $0.00028 $0.00726
Sonnet 5 $0.00011 $0.00290
Haiku 4.5 $0.00006 $0.00145

Measured 7d ago against content hash 73ed9d3c5f74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

architecture-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 7d 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.

.agent/skills/architecture-review/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Review Skill

When to Trigger

  • After writing-plans produces an implementation plan, before executing-plans
  • When a significant refactor is proposed
  • When adding a new external service or integration
  • When the team is debating between two approaches
  • When something "feels off" about a design but you can't articulate why

Step-by-Step Process

1. Load the Plan

Read the implementation plan (typically implementation_plan.md or the artifact from writing-plans).

Extract:

  • Components being built
  • Data flow between components
  • External dependencies
  • Assumptions the plan makes

2. Run the Checklists

Work through each checklist section. For every "No" or "Unclear" answer, flag it as a finding.


A. Complexity Check
  • Is this the simplest solution that could work?
  • Are there off-the-shelf solutions (libraries, services) that cover 80%+ of this?
  • Does each component have a single, clear responsibility?
  • Would a junior developer understand this in 30 minutes?
B. Coupling & Cohesion
  • Can each module be tested in isolation?
  • Are there circular dependencies? (A needs B needs A)
  • Is data ownership clear? (only one place writes to each piece of state)
  • Is the public API surface minimal? (don't expose what doesn't need to be exposed)
C. Data & State
  • Is the source of truth for each piece of data clearly defined?
  • What happens if the datastore goes down?
  • Is there any global mutable state? If so, is it justified?
  • Are database migrations planned for any schema changes?

Read the full file on GitHub · 157 lines

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. 7d ago First seen · 157 lines · 57 tokens per session scan A 73ed9d3c5f74

Subscribe to this mod's changes

architecture-review is a skill published in the GitHub repository omergocmen/vibe-coder-kit (91 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 1,451 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 2026-08-30.