codeprobe-architecture

codeprobe-architecture is a skill for Claude Code, Codex from nishilbhave/codeprobe. It costs 65 tokens per session (2,751 once invoked), scanned A, original, MIT.

A code-architecture analysis skill that examines how a project is divided and connected. It checks for issues such as circular imports, oversized objects, misplaced logic, unclear module boundaries, and configuration problems, then produces severity-rated findings and fix prompts.

In plain words
What is it for?
Use it for architecture reviews, structure checks, and investigations of layer violations, circular dependencies, god objects, weak domain models, missing boundaries, directory-layout problems, or configuration issues.
Why use it?
It helps reveal structural problems that can make code harder to change, test, or understand before they spread through the project.

Skill for Claude CodeCodex

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 skills/nishilbhave/codeprobe/codeprobe-architecture
Any agent
npx skills add nishilbhave/codeprobe --skill codeprobe-architecture
Clone the repo
git clone --depth 1 https://github.com/nishilbhave/codeprobe

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 codeprobe-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/nishilbhave/codeprobe/codeprobe-architecture.svg)](https://agentmods.dev/skills/nishilbhave/codeprobe/codeprobe-architecture)
Your own site
<a href="https://agentmods.dev/skills/nishilbhave/codeprobe/codeprobe-architecture"><img src="https://agentmods.dev/badge/skills/nishilbhave/codeprobe/codeprobe-architecture.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,751 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 $0.00065 $0.02751
Opus 5 $0.00032 $0.01375
Sonnet 5 $0.00013 $0.00550
Haiku 4.5 $0.00006 $0.00275

Measured 4d ago against content hash 953e4fc0925f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codeprobe-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 4d 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.

skills/codeprobe-architecture/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Standalone Mode

If invoked directly (not via the orchestrator), you must first:

  1. Read ../codeprobe/shared-preamble.md (resolve relative to this SKILL.md's location — the sibling codeprobe skill directory — not the user's project) for the output contract, execution modes, and constraints.
  2. Load applicable reference files from ../codeprobe/references/ (same resolution) based on the project's tech stack.
  3. Default to full mode unless the user specifies otherwise.

Architecture & Structure Analyzer

Domain Scope

This sub-skill detects architectural and structural issues across these categories:

  1. Layer Violations — Business logic in controllers, presentation logic in models, database access in views
  2. Circular Dependencies — Direct or transitive circular imports between modules
  3. God Objects — Oversized files and classes that do too much
  4. Anemic Domain Model — Entity classes with no behavior, all logic in service classes
  5. Missing Boundaries — No clear module/domain separation, cross-feature coupling
  6. Directory Structure — Framework convention violations, flat directory anti-patterns
  7. Config/Environment — Hardcoded environment values, missing config abstraction

What It Does NOT Flag

  • Small projects/scripts with fewer than 5 files — flat structure is appropriate for small codebases and adding layers would be over-engineering.
  • Microservices that intentionally have thin layers — a microservice with a single controller, single service, and single repository is fine by design.
  • Framework-standard monolith patterns that are idiomatic — e.g., Laravel's default structure for small-to-medium apps, Rails convention-over-configuration patterns, Next.js app directory conventions.
  • Prototypes and proof-of-concept code clearly marked as such.
  • Generated code directories (e.g., dist/, build/, .next/, __pycache__/).

Detection Instructions

Layer Violations

ID Prefix What to Detect How to Detect Severity
ARCH Controllers containing business logic Scan files in controller directories (controllers/, Controllers/, routes/, api/). Flag controllers that contain: database queries (SQL, ORM query builders beyond simple find()/findById()), complex conditionals with business rules (3+ branches), calculations, data transformations, or validation logic beyond simple field presence checks. Controllers should delegate to services/actions. Major
ARCH Models/entities containing presentation logic Scan model/entity files. Flag models that contain: HTML generation, string formatting for display (e.g., toHtml(), formatForDisplay()), view-specific transformations, CSS class computation, or response formatting. Models should contain domain logic, not presentation. Major
ARCH Views/components calling database directly Scan view files (.blade.php, .vue, .jsx/.tsx components, .ejs, .pug, Jinja templates). Flag views that contain: direct database queries, ORM calls, raw SQL, or repository method calls. Views should receive data from controllers/props, never fetch it themselves. Major

Read the full file on GitHub · 145 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. 4d ago First seen · 145 lines · 65 tokens per session scan A 953e4fc0925f

Subscribe to this mod's changes

codeprobe-architecture is a skill published in the GitHub repository nishilbhave/codeprobe (5 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 2,751 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens