architecture

architecture is a command for coding agents from qazi0/claude-plugins. It costs 18 tokens per session (455 once invoked), scanned A, original, MIT.

A command that explains the architecture of a public GitHub repository. Software architecture describes a project's main parts, how they connect, and how data moves through it.

In plain words
What is it for?
Use it to study a project's purpose, components, design patterns, interfaces, dependencies, and data flow.
Why use it?
It turns repository documentation and targeted questions into one overview, reducing the time needed to understand an unfamiliar project.

Command

Part of the deepwiki plugin — 1 skill, 7 commands shipped together

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.

agentmods
npx agentmods add commands/qazi0/claude-plugins/architecture
Clone the repo
git clone --depth 1 https://github.com/qazi0/claude-plugins

Or install deepwiki, the plugin that ships this one along with the rest of its 1 skill, 7 commands.

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

README.md
[![agentmods](https://agentmods.dev/badge/commands/qazi0/claude-plugins/architecture.svg)](https://agentmods.dev/commands/qazi0/claude-plugins/architecture)
Your own site
<a href="https://agentmods.dev/commands/qazi0/claude-plugins/architecture"><img src="https://agentmods.dev/badge/commands/qazi0/claude-plugins/architecture.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00018 $0.00455
Opus 5 $0.00009 $0.00228
Sonnet 5 $0.00004 $0.00091
Haiku 4.5 $0.00002 $0.00046

Measured 5d ago against content hash c25c76297c36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 5d 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.

deepwiki/commands/architecture.md · 63 lines

What it actually says

Architecture Deep Dive

You are analyzing the architecture of: $ARGUMENTS.repo

Instructions

  1. First, use read_wiki_structure with repo_name: "$ARGUMENTS.repo" to get the documentation structure

  2. Identify architecture-related sections in the documentation (look for: architecture, design, internals, how it works, system design, components, modules)

  3. Use read_wiki_contents to read the most relevant architecture sections (typically 2-3 sections)

  4. Use ask_question with targeted architecture questions:

    • "What is the high-level architecture of this project?"
    • "What are the main components and how do they interact?"
    • "What design patterns does this project use?"
  5. Synthesize and present a comprehensive architecture overview:

    Project Overview

    What the project does and its primary purpose.

    High-Level Architecture

    Describe the overall system architecture with main components.

    [Create an ASCII diagram if possible showing component relationships]
    

    Core Components

    For each major component:

    • Component Name: Purpose and responsibility
    • Key interfaces or APIs it exposes
    • Dependencies on other components

    Data Flow

    How data moves through the system for typical operations.

    Design Patterns

    Notable patterns used (e.g., MVC, event-driven, plugin architecture, middleware chain).

    Extension Points

    How the system is designed to be extended (plugins, hooks, middleware, etc.).

    Key Abstractions

    Important interfaces, base classes, or concepts that define the system.

    Technology Stack

    Languages, frameworks, and key dependencies.

  6. Focus on clarity and visual representation where possible. Use diagrams (ASCII), bullet points, and tables to make the architecture easy to understand.

  7. If architecture documentation is limited, acknowledge gaps and provide what can be inferred from available information.

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. 5d ago First seen · 63 lines · 18 tokens per session scan A c25c76297c36

Subscribe to this mod's changes

architecture is a command published in the GitHub repository qazi0/claude-plugins (8 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 455 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.