Brooks-Lint — Architecture Audit

SkillDev tools

Architecture audit that maps module dependencies, checks layering integrity, and flags structural decay across a codebase, drawing on twelve classic engineering books. Triggers when: user asks to audit architecture, review folder/module structure, check for circular imports, understand how the codebase is organized, or asks "does this follow clean architecture?" or "why does everything depend on everything?". Also triggers for onboarding requests: "explain this codebase to a new developer" or "give me a codebase tour" (use onboarding mode). Do NOT trigger for: PR-level code review (use brooks-review) or line-level refactoring questions — this skill analyzes structural/module-level concerns, not individual functions.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Brooks-Lint — Architecture Audit skill

What this skill tells your AI

The instructions your AI receives, as published by hyhmrright/brooks-lint in skills/brooks-audit/SKILL.md and read by ahel’s review.

Setup

Read in order:

  1. ../_shared/common.md — Iron Law, Project Config, Report Template, Health Score
  2. ../_shared/source-coverage.md — book coverage, exceptions, tradeoffs
  3. ../_shared/decay-risks.md — symptom definitions and source attributions
  4. architecture-guide.md (this directory) — the audit framework

Process

Onboarding mode: If the user asks for an onboarding report, codebase tour, or "explain this codebase to a new developer", read onboarding-guide.md from this directory and follow it instead of architecture-guide.md. This mode explains rather than diagnoses — no Health Score, no Iron Law findings.

Scope: if the user did not specify files or a directory, apply Auto Scope Detection (../_shared/common.md) first.

  1. Gather codebase context and draw the module dependency graph as Mermaid (Steps 0–1 of the guide)
  2. Scan for each decay risk in the order specified (Steps 2–4 of the guide)
  3. Assign node colors in the Mermaid diagram based on findings (red/yellow/green) — after Step 4
  4. Run the Testability Seam Assessment (Step 5 of the guide)
  5. Run the Conway's Law check (Step 6 of the guide)
  6. Output using the Report Template from common.md — Mermaid graph FIRST, then Findings

Mode line in report: Architecture Audit

Signals

GitHub stars
1k
Forks
66
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
brooks-audit
Source
github.com/hyhmrright/brooks-lint